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Article Contents

Introduction, sources of data, areas of agreement, areas of controversy, growing points, areas timely for developing research, conflict of interest statement.

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Sustainable Development Goals (SDGs), and their implementation: A national global framework for health, development and equity needs a systems approach at every level

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Stephen Morton, David Pencheon, Neil Squires, Sustainable Development Goals (SDGs), and their implementation: A national global framework for health, development and equity needs a systems approach at every level, British Medical Bulletin , Volume 124, Issue 1, December 2017, Pages 81–90, https://doi.org/10.1093/bmb/ldx031

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The Sustainable Development Goals (SDGs) are a set of global goals for fair and sustainable health at every level: from planetary biosphere to local community. The aim is to end poverty, protect the planet and ensure that all people enjoy peace and prosperity, now and in the future.

The UN has established web-sites to inform the implementation of the SDGs and an Inter-Agency and Expert Group on an Indicator Framework. We have searched for independent commentaries and analysis.

The goals represent a framework that is scientifically robust, and widely intuitive intended to build upon the progress established by the Millennium Development Goals (MDGs). There is a need for system wide strategic planning to integrate the economic, social and environmental dimensions into policy and actions.

Many countries have yet to understand the difference between the MDGs and the SDGs, particularly their universality, the huge potential of new data methods to help with their implementation, and the systems thinking that is needed to deliver the vision. The danger is that individual goals may be prioritized without an understanding of the potential positive interactions between goals.

There is an increasing understanding that sustainable development needs a paradigm shift in our understanding of the interaction between the real economy and quality of life. There would be many social, environmental and economic benefits in changing our current model.

We need to develop systems wide understanding of what supports a healthy environment and the art and science of making change.

Summary of the UN’s 17 Sustainable Development Goals, linked to the five Areas of Critical Importance (5P’s)

Examples of targets and indicators (for Goal 2) 26

UN Graphical Illustration of the 17 SDGs.

The Sustainable Development Goals (adopted by the United Nations General Assembly in September 2015) run from 2016 to 2030 and are formally the goals of the United Nations’ ‘Transforming our world; the 2030 Agenda for Sustainable Development’, an agenda which sets out the vision, principles and commitments to a fairer and more sustainable world for all. The practical and political importance of the SDGs, and the challenges associated with them, can only truly be appreciated by understanding what preceded them. The Millennium Development Goals (MDGs) were in place from 2000 to 2015 and consisted of eight international development goals. The first three goals covered poverty, education and gender equality; the next three goals addressed ‘health outcomes’ covering child mortality, maternal health and ‘HIV/AIDS, malaria and other diseases’. The remaining two goals addressed environmental sustainability and global partnership for development. These eight MDGs were supported by a total of 21 individual targets.

The MDGs, although a move in the right direction, were subject to certain criticisms. One was that there was insufficient analysis to justify why these goals were selected as priorities and insufficient information available to be able to compare performance, especially in tackling inequalities within countries. 1 This highlighted the perennial challenge in such initiatives of balancing political consensus with scientific validity. Nevertheless, based on data compiled by the Inter-Agency and Expert Group on MDG indicators, 2 the UN could demonstrate considerable success on some goals, especially on reducing extreme poverty (numbers of people living on less than $1.25 per day), reducing both child and maternal mortality, increasing access for people living with HIV to antiretroviral treatment and reducing new HIV infections. However, the report recognized that ‘progress has been uneven across regions and countries’ in the implementation of the MDGs.

Perhaps most importantly, the Millennium Development Goals focussed primarily on the needs of developing countries reinforcing a binary view of rich and poorer countries, of donors and recipients and implying that the global challenge is a problem of development which international aid can help address, rather than a set of shared problems which only collective action globally can resolve.

The 17 Sustainable Development Goals (SDGs) with 169 targets are broader in scope and go further than the MDGs by addressing the root causes of poverty and the universal need for development that works for all people. The goals cover the three dimensions of sustainable development: economic growth, social inclusion and environmental protection.

Building on the success and momentum of the MDGs, the new global goals cover more ground, with ambitions to address inequalities, economic growth, decent jobs, cities and human settlements, industrialization, oceans, ecosystems, energy, climate change, sustainable consumption and production, peace and justice.

The new Goals are universal and apply to all countries, whereas the MDGs were intended for action in developing countries only.

A core feature of the SDGs is their strong focus on means of implementation: the mobilization of financial resources; capacity-building and technology; as well as data and institutions.

The new Goals recognize that tackling climate change is essential for sustainable development and poverty eradication. SDG 13 aims to promote urgent action to combat climate change and its impacts.

The UN resolution refers to five ‘areas of critical importance’; sometimes known as the 5 ‘P’s, these are People, Planet, Prosperity, Peace and Partnerships (see Table 1 ). The goals were launched with the strap-line of ‘Ensuring that no-one is left behind’ with its implication that development and levelling up will be the keys to progress by 2030. How this aspiration is reconciled with maintaining ecosystems and tackling climate change will be a challenge in itself. However, the SDGs do have a clear goal on climate action (Goal 13), which has been strengthened subsequently by the Paris Agreement of the 21st Conference of Parties (COP21) to the United Nations Framework Convention on Climate Change (UNFCCC). However, the SDGs are voluntary commitments by governments in contrast to the formal Paris Agreement which is legally binding now that it has been signed by 55% of parties and that those who have signed are responsible for more than 55% of greenhouse gas emissions. Also adopted in March 2015, and with a similar timescale, was the Sendai Framework for Disaster Risk Reduction (2015–30) which succeeded the Hyogo Framework for Action (2005–15); the Sendai Framework was agreed by 187 countries and was endorsed by the UN General Assembly in June 2015.

There is a wealth of published material on sustainable development in general and on the SDGs in particular from the UN, from international non-governmental organizations, and from many other concerned and committed organizations and individuals more locally. It is easy to get lost in all of this so we have been selective in the sources we have used. Most importantly, there is a widely held view that much more innovative ways to both collecting data and using data, from crowd sourcing to the use of big data, need to be used if the mechanisms for implementing and delivering the SDGs are to take full advantage of the data revolution.

There is a dedicated United Nations website on sustainable development ( http://www.un.org/sustainabledevelopment/ ) as well as a sustainable development knowledge platform ( https://sustainabledevelopment.un.org/ ) with updates on the High Level Political Forum, on individual topics and milestones, and a directory of resources including recent publications. Both sites have much supporting material on the SDGs and also on the challenge of integrating the three dimensions of sustainable development (economic, social and environmental).

The formal resolution adopted by the UN General Assembly in September 2015 was published on 21 October 2015. 3 In the same year the United Nations Statistical Commission created an Inter-Agency and Expert Group on SDG Indicators (IAEG-SDGs), which will coordinate proposals of a global indicator framework. 4 This should be properly recognized by all countries and associated organizations who are working towards consistent methods of tracking progress so that duplication can be avoided, gaps identified, and resources directed most effectively. While work continues on international action to support the SDGs, all countries are ‘expected to take ownership and establish a national framework for achieving the 17 goals’. The UN states that countries have the ‘primary responsibility for follow-up and review’ and this ‘will require quality, accessible and timely data collection’. In the UK, for example, the Office for National Statistics (ONS), has been working with the UK Stakeholders for Sustainable Development (UKSSD) to consult on national indicators for the SDGs. And some countries (notably Sweden, Germany, Colombia, the Philippines and Czechia) already have national institutional arrangements. 5

There is general agreement on the breadth and depth of the goals. There are clear obligations and responsibilities for all member states (for which they will be held to account) and a recognition that cross systems approaches to implementation will be needed. This is a significant change from the MDG process and requires explicit contributions from every country, particularly in developing and aligning the complex analytical tools to assess progress and assist decision making. The UN report on ‘critical milestones’ 6 refers to ‘an overarching vision and framework’. Getting accountability structures fit for purpose is already a key challenge. 7 A recent review in Nature 8 identifies that this requires a ‘new coherent way of thinking’ and that while it is implicit in the SDG logic that the goals depend on each other, no-one has specified exactly how. To help, different models have been developed, 9 including both scenario analysis and quantitative modelling. Some of these can be used as top-down macro-framework level tools and some as sectoral models for option level impact analysis. This independent review 7 of 16 countries who volunteered for national review (by the High Level Political Forum) noted a range of different approaches to deal with the complexity of the implementation process. Some countries with existing national sustainable development strategies have built on these and tried to align existing objectives with the new goals. Other countries have developed new national SDG Implementation Plans. Some have linked the SDGs to financial planning for sustainable development or sought to integrate SDGs either in sectoral planning (nutrition, education etc.) or in local government planning frameworks.

Other areas of agreement include the need to integrate the three dimensions of sustainable development (economic, social and environmental), 10 , 11 the importance of raising awareness and creating ownership and the need for stakeholder engagement. 7 , 8 This is especially important to address the widespread misbelief that sustainable development concerns only the environmental dimension and conflicts with necessary ‘economic growth’. No strategy, not even one agreed by all member states of the United Nations, can immediately address historical cultures; yet, it remains one of the most fundamental challenges (and opportunities) for us all to address. The reality is that addressing all three dimensions collaboratively will yield the greatest benefits, whilst the alternative—addressing them separately and in competitive isolation—will deliver much less and with greater risks.

The agreement on the need for ‘systems thinking’, and integration across the three dimensions, is welcome, but the difficulties inherent in this approach should not be under-estimated. This has been illustrated by recent worked examples and case studies.

One worked example 8 concludes that action on the route to zero hunger in sub-Saharan Africa interacts positively with Goal 1 (poverty), Goal 3 (health and well-being), and Goal 4 (quality education). However, it also notes that food production has a more complex interaction with Goal 13 (climate change mitigation). This is because agriculture contributes 20–35% of global greenhouse gases, so climate mitigation constrains some types of food production (particularly meat). Additionally, food production (Goal 2) can compete with renewable energy production (Goal 7) and eco-system protection (Goals 14 and 15). Conversely, climate stability (Goal 13) and preventing ocean acidification (Goal 14) will support sustainable food production and fisheries (Goal 2).

Similarly, the UN paper on mainstreaming the three dimensions 11 highlights water as a nexus of integration and describes how water and sanitation (Goal 6) underpin other areas such as health (Goal 3), food (Goal 2), energy (Goal 7), elimination of poverty (Goal 1), economic productivity (Goal 8), equity (Goal 10) and access to education (Goal 4).

Perhaps the biggest single controversy, particularly because simplicity and logic favour collaborative and system wide implementation, is the high number of goals, targets and supporting actions that have been agreed. This raises concerns about whether governments and international agencies have sufficient skills in ‘whole systems thinking’ 12 to implement the goals without the risk of ‘unintended consequences’ and ‘perverse outcomes’. 8 Early mapping exercises 8 , 11 , 12 have demonstrated the important interconnections between achieving goals but experience suggests that government departments and international negotiations do not always have the mandate or skills to realistically address what might at first appear to be inconvenient and politically contentious trade-offs 8 and unintended consequences.

Deciding which goals to prioritize and then assessing the positive (or negative impacts) on other goals, is a crucial step. There is scope for concern if governments, corporations or agencies were to prioritize energy production (to meet Goal 7), agricultural output (to meet Goal 2) or development of business and infrastructure (to meet Goals 8 and 9), without considering impacts on climate (Goal 13), water (Goal 14) or land (Goal 15). The root cause of this problem is the failure to imagine better ways of addressing energy, agricultural output and what defines success of a business in the 21st century. It is rarely more of what has gone before. The SDGs are the formal stimulus for us to innovate collectively at scale and pace; and to think and act better not bigger. For instance, we need to be more open to the increasing evidence of the many potential positive interactions between different Goals. More equitable and sustainable food systems would help to meet Goal 2, produce ecological benefits (Goals 13–15) and help tackle problems such as obesity and non-communicable disease (Goal 3). 8 , 12

Interestingly, although the SDGs and supporting targets make little mention of tackling world population growth, there are several studies illustrating how coordinated, whole system approaches to the SDGs are already stabilizing the global population. One paper 13 looks at how the SDG targets on mortality, reproductive health and education for girls will directly and indirectly influence future demographic trends. Another paper, 14 looking from the opposite perspective, describes how reductions in fertility in Africa could reduce dependency ratios (the proportion of population not economically active) and thus help tackle poverty (Goal 1), increase productivity (Goal 8), and improve education and gender equality (Goals 4 and 5).

It should be clear that each country will pursue these Global Goals differently, and that a key benefit of the SDG approach is a degree of local flexibility. However, there are certain goals which require urgent collective action, where the clock is ticking on the world’s ability to tackle changes that are already significantly impacting on planetary health. 15 This means that international collaboration must give primacy to action on climate change (Goal 13) and the need to make economic policy subservient to the minimization of environmental impact (see Goal 12: Responsible consumption and production). This is of increasing importance with the recent expressions of electoral judgements in some western countries. The danger is that electorates are seduced into abandoning collective responsibility for the three dimensions of sustainable development in the hope that this will produce short-term benefits for individual countries while ignoring the wider longer term environmental, social and economic costs, knowingly leaving these to be borne by future generations.

A significant risk of allowing countries to take unilateral and apparently self-interested approaches by opting out of multi-state arrangements and economic agreements is the threat of a ‘race to the bottom’ where a country adopts low taxation, relaxed labour laws and reduced regulation as a deceptively attractive way to avoid economic crises. This approach risks increasing health inequity alongside continued restraints on social assistance and environmental protection, with negative impacts on many of the SDGs. Alternatively, a country, region or state could seek to build an economy which is directed at realizing the combined economic, social and environmental benefits associated with implementing the SDGs, with a focus on renewable energy, sustainable food and agriculture and environmentally sustainable technology (recycling, energy conservation and the like). This may also provide a model of sustaining prosperity given the demographic changes and likely labour shortages if countries, such as the UK, shift away from an economic model which depends on a migrant labour force for continued growth.

Given that it took 21 years of annual conferences of parties to the United Nations Framework Convention on Climate Change before a substantial agreement for action (the Paris Agreement) was achieved in December 2015, there could well be international controversy if reneging on key global commitments weakens the collective resolve. If we accept the fact that human health, and its future survival and prosperity, depend on a liveable earth, we would argue therefore that a refocus of population health to ecological 16 and planetary health 15 is the golden thread which binds the SDGs together as a systems approach. 1 This brings us to a fundamental challenge for governments, businesses, consumers and communities.

To what extent can we seek to implement the SDGs by improvements in current systems and at what point do we need a paradigm shift in our outlook and aspirations? This subject has been explored in relation to health and food systems 17 and in relation to regional trade agreements and health related SDGs. 18 However, it has also been clearly addressed by the United Nations Environment Programme’s ‘Inquiry into the design of a sustainable financial system’. 19 This inquiry points out that ‘failure of the financial system to take adequate account of climate change could result in extensive damage to financial assets globally, may well threaten the stability of the financial system itself, and most importantly could impose irreversible damage to the underlying state of the real economy and the quality of life for those who depend on it for their livelihoods’, a point that has been repeatedly echoed by some of the most powerful financial organizations and people globally. It is not enough to simply wait until action is obviously needed. As Mark Carney, the Governor of the Bank of England, says: ‘…once climate change becomes a defining issue for financial stability, it may already be too late’. 20

The existing macroeconomic model had already been challenged by a report prepared for the UK’s Sustainable Development Commission in 2009 21 and developed further by their Economics Commissioner. 22 Essentially, this is a challenge to a global economic model, which sees wealth creation based on rising production to meet ever increased demand as the basis of development. This continued consumption based model would be unsustainable even if the world’s population was stable but is compounded by the projected increase from 6 billion people in 2000 to potentially 9 billion by 2050; the consequences in terms of resources consumed, waste generated and boundaries exceeded will be an unprecedented planetary emergency. 23

However, before we despair completely, some of these reports are also clear that there would be many social, environmental and economic benefits in changing our current model and that ‘transitioning to a green economy opens us to many opportunities as well as posing many challenges’. 19 , 21 The fundamental challenge is aligning the three dimensions across all 17 SDGs and that will challenge many current sectoral interests.

The UK Stakeholders for Sustainable Development recently coordinated an open letter, 24 from over 80 UK businesses, to the Prime Minister, asking her to highlight the UK’s commitment to the SDGs at the 2017 World Economic Forum in Davos. This included not just many UK ethical environmental businesses but also many more traditional major multinational companies such as Coca Cola, Tesco, HSBC, Nestle, Land Rover, KPMG and Standard Chartered. It would seem that large corporations are more aware of the need to fundamentally re-shape the economy than many political parties.

The last two centuries have seen huge advances in our understanding of what causes diseases in individuals. There has been far less progress in understanding systematically exactly what causes health in populations: from a village level or a planetary level. The challenge for this generation is to synthesize our knowledge into creating those conditions that foster health and protect us from poverty as much as they protect us from polio. If we continue to devote resources disproportionately to finding ever more detailed causes of disease without considering the solutions to some of the obvious problems we have created for ourselves and others, we will be breaking the implicit contract we have with future generations, with those people who have no voice or choice; that is the agreement that we make every effort to leave the world in a better place than we found it. Without understanding how we collectively protect and improve all those conditions that make life worth living for all, we will be forever remembered as the generation who knew too much and did too little. The art and science of making change is fraught with more human and cultural barriers than with technical or knowledge barriers. The SDGs provide perhaps the last best hope we have of being honest about why and how we should implement the evidence we already have. The number of challenges and opportunities we face, from demographic transitions to new models of economic activity and workforce development makes it essential that we embrace clear and systematic frameworks for action that are measurable and monitorable and for which we should all be held accountable and responsible. Every generation in history has faced global challenges. ‘We Are the First Generation that Can End Poverty, the Last that Can End Climate Change’. 25

The authors have no potential conflicts of interest.

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ORIGINAL RESEARCH article

Unveiling the research landscape of sustainable development goals and their inclusion in higher education institutions and research centers: major trends in 2000–2017.

• 1 Department of Industrial Management, Industrial Design and Mechanical Engineering, Faculty of Engineering and Sustainable Development, University of Gävle, Gävle, Sweden
• 2 Department of Biology, Centre for Environmental and Marine Studies (CESAM), Centre for Environmental and Marine Studies, University of Aveiro, Aveiro, Portugal
• 3 Polytechnic Institute of Leiria, Leiria, Portugal
• 4 Life Quality Research Centre, Polytechnic Institute of Santarém, Santarém, Portugal
• 5 Centre for Science and Technology Studies (CWTS), Leiden University, Leiden, Netherlands
• 6 Department of Science and Innovation-National Research Foundation of South Africa Centre of Excellence in Scientometrics and STI Policy (SciSTP), Stellenbosch University, Stellenbosch, South Africa

The Sustainable Development Goals (SDG) have become the international framework for sustainability policy. Its legacy is linked with the Millennium Development Goals (MDG), established in 2000. In this paper a scientometric analysis was conducted to: (1) Present a new methodological approach to identify the research output related to both SDGs and MDGs (M&SDGs) from 2000 to 2017, with the aim of mapping the global research related to M&SDGs; (2) Describe the thematic specialization based on keyword co-occurrence analysis and citation bursts; and (3) Classify the scientific output into individual SDGs (based on an ad-hoc glossary) and assess SDGs interconnections. Publications conceptually related to M&SDGs (defined by the set of M&SDG core publications and a scientometric expansion based on direct citations) were identified in the in-house CWTS Web of Science database. A total of 25,299 publications were analyzed, of which 21,653 (85.59%) were authored by Higher Education Institutions (HEIs) or academic research centers (RCs). The findings reveal the increasing participation of these organizations in this research (660 institutions in 2000–2005 to 1,744 institutions involved in 2012–2017). Some institutions present both a high production and specialization on M&SDG topics (e.g., London School of Hygiene & Tropical Medicine and World Health Organization); and others with a very high specialization although lower production levels (e.g., Stockholm Environment Institute). Regarding the specific topics of research, health (especially in developing countries), women , and socio-economic issues are the most salient. Moreover, it has been observed an important interlinkage in the research outputs of some SDGs (e.g., SDG11 “Sustainable Cities and Communities” and SDG3 “Good Health and Well-Being”). This study provides first evidence of such interconnections, and the results of this study could be useful for policymakers in order to promote a more evidenced-based setting for their research agendas on SDGs.

Introduction

Increasing awareness-building in sustainable development goals.

Sustainability goals have emerged as a global strategy to solve critical world problems, as a result of the global environmental concerns that started in the 1970s. The origin of the notion of sustainable development can be traced back to its most-recognized milestone in 1987; the definition of Sustainable Development in the Brundtland Report 1 . Afterwards, different summits and conferences were held in which sustainability and sustainable development were the core discussions (e.g., Earth Summit in Rio de Janeiro in 1992). During these early years, sustainable development was a guiding principle to bridge the North-South division ( Siegel and Bastos Lima, 2020 ). However, what was meant by development was replete with competing ideas about its essential aims, together with various theories about its achievement ( Fukuda-Parr and McNeill, 2019 ). In this context, development goals became an unprecedented effort to bridge those divides and find common ground “with a set of ideas as the consensus global norm concerning both the ends and the means of development” ( Fukuda-Parr, 2019 ). These development goals (MDGs and SDGs) are designed with the same principles: (1) Statement of a social political priority ( goal ); (2) Time-bound quantitative aspect to be achieved ( target ); and (3) Measurement tools to monitor progress ( indicator ) ( Fukuda-Parr and McNeill, 2019 ). The goals represent international agreements that create narratives and frame debates about the conceptualization of development challenges ( Fukuda-Parr, 2019 ). It can be argued that the influence of these goals on policy, governments, and other societal stakeholders is mainly driven by their compelling discourse.

The First Development Goals: Millennium Development Goals

In 2000 eight Millennium Development Goals (MDGs) were created at the Millennium Summit, with the ambition of their being achieved by 2015. These MDGs tackled topics such as extreme poverty and hunger, child mortality, and maternal health 2 . They represented an unprecedented effort to tackle the needs of the world's poorest countries. However, MDGs were criticized for: (1) Not being adequately aligned “with human rights standards and principles;” (2) Being formulated in a top-down process, only driven by international organizations and developing country governments; (3) Lacking accountability mechanisms; and (4) Omission of important priorities, i.e., inequality ( International Human Rights Instruments, 2008 ; Fukuda-Parr, 2016 , 2019 ). Another criticism of the MDGs was that they had unsuccessful effects in some important regions, such as Africa ( Easterly, 2009 ). Despite these criticisms, although indeed not all goals were achieved by 2015, some progress was acknowledged ( United Nations, 2015a ). For instance, “the number of people living in extreme poverty has declined by more than half since 1990 and the literacy rate among youth aged 15–24 has increased globally, from 83% in 1990 to 91% in 2015” ( Ki-Moon, 2015 ).

The Present: The Sustainable Development Goals

In 2012, the Conference Rio+20 adopted a 15-year plan called Agenda 2030 (2015–2030), targeting sustainable economic growth, social development, and environmental protection ( United Nations, 2015b ). As a result, Agenda 2030 established 17 Sustainable Development Goals (SDGs), with a deadline in 2030. This agenda was settled as a normative shift ( Fukuda-Parr and McNeill, 2019 ) and has even been institutionalized as a policy paradigm ( Siegel and Bastos Lima, 2020 ). The agenda has 169 targets and various indicators for monitoring their achievement. The topics of these goals cover five critical areas (the so-called 5 P's); People, Planet, Prosperity, Peace, and Partnership ( United Nations, 2015b ). While MDGs encompassed the notion of development as the North-South project to meet basic needs to end poverty, SDGs reconceptualised development as the “universal aspiration for human progress that is inclusive and sustainable” ( Fukuda-Parr and McNeill, 2019 ). Different from the MDGs, the SDGs pay an increased attention to the interlinkages among different sustainability dimensions and give great attention to inclusiveness ; clearly captured in their motto “No one left behind” ( Siegel and Bastos Lima, 2020 ). In practical terms, SDGs expand with respect to MDGs in: (1) Scope (e.g., there are new goals); (2) Reach (involving developed and developing countries); and (3) Engagement of a larger set of societal actors (e.g., citizen councils) in both their creation and implementation ( Fisher and Fukuda-Parr, 2019 ). However, no specific mechanisms to ensure their applicability across different countries have been settled. One of the main concerns is that SDGs rely on individual countries and the goodwill of their governments on how to pursue and implement each of the goals. In this regard, Siegel and Bastos Lima (2020) pointed out that actual SDG-driven transformations depend on the political context of each country, particularly on how these goals are interpreted and prioritized at the national level. These authors even remarked that despite the very concrete formulation of SDGs, their conceptualization (and we could add, their operationalization ) still leaves room for interpretation. Thus, the pursuing of some specific goals over others by some countries is known as “cherry-picking,” although quite often interpreted as conformity with the whole agenda ( Forestier and Kim, 2020 ). However, the aim of Agenda 2030 and its accomplishment is fundamentally based on the integrative and indivisible nature of the goals ( United Nations, 2015b ), therefore “cherry-picking” should not be an acceptable approach, bringing attention to the relevance of monitoring the engagement and consecution of all SDGs by all countries.

The Role of Monitoring the Achievement of SDGs

In contrast to MDGs, monitoring became a key issue for SDGs. Since the launch of SDGs, an SDG Index 3 has been developed, aiming to evaluate the achievement of each goal across all countries. The SDG index allows identifying priorities for action, support discussions, and debates to identify gaps in the development of the goals. A preliminary set of 330 indicators was introduced in March 2015 ( Hák et al., 2016 ), but only 232 indicators were adopted. This is different from MDGs, in which indicators were only decided on an internal basis 4 . The development of indicators to monitor the achievement of SDGs was based on two parallel processes: (1) Multi-stakeholder public consultation led by the UN General Assembly Open Working Group on SDGs (established in 2013); and (2) Intergovernmental negotiations. Moreover, the indicators developed “come from a mix of official and non-official data sources” (e.g., the World Bank, the Organization for Economic Cooperation and Development, among others), all subjected to an extensive and rigorous data validation process [ Sachs et al., 2018 , 2019 ]. However, it has been argued that the translation of goals into quantitative indicators can “distort” their meaning, since indicators can be reinterpreted or used to create perverse discourses or incentives ( Fukuda-Parr and McNeill, 2019 ).

Interlinkages Among SDGs

Another distinctive aspect of SDGs in contrast to MDGs is the role of the relationships and interlinkages among the different goals. Several studies already analyzed the interlinkages and interdependencies between pairs of SDGs, both across or within SDGs, particularly regarding the effects that achieving one goal may have on the ability to achieve others. Pradhan et al. (2017) analyzed the synergies (i.e., progress in one goal favors progress in another) and trade-offs (progress in one goal hinders progress in another) within and across SDGs. They found that SDG1 “No poverty,” or SDG3 “Good health and Well-being” have synergetic relationships with many goals, while SDG12 “Responsible consumption and production” is associated with trade-offs as it has negative correlations with 10 other goals based on the data pair analysis. Later, Lusseau and Mancini (2019) analyzed how key synergies and trade-offs between SDG goals and targets, based on the World Bank categories data, vary with respect to a country's gross national income (GNI) per capita. They highlighted that SDG10 “Reduce Inequalities,” SDG12 “Responsible Consumption and Production,” and SDG13 “Climate Action” are the most central ones, interacting negatively (according to the negative strength value calculated in their study) with many other SDGs (for example in high-income countries SDG12 and SDG13 are antagonistic, based on the Laplacian graph and the eigenvalue centrality value). These kinds of conflicting relationships between SDGs suggest a need for differentiated policy priorities between countries as they progress toward the 2030 Agenda. Kroll et al. (2019) also analyzed trade-offs and synergies between goals and future trends until 2030 based on the SDG index data. They found positive developments with notable synergies in some goals (i.e., SDGs 1, 3, 7, 8, 9), despite others presenting trade-offs (i.e., SDGs 11, 13). There are also other studies that analyzed these interlinkages from a qualitative perspective ( Singh et al., 2018 ; Fuso Nerini et al., 2019 ; Vinuesa et al., 2020 ). Particularly relevant for this study is that to date, there are no global studies on the interrelations among SDGs related to the research output of Higher Education Institutions to the best of our knowledge, a gap that this study intends to fill.

Development Goals and Their Relationship With Higher Education Institutions and Research Centers

As discussed above, MDGs and SDGs appeared as a result of the interest and commitment of governments of countries from all over the world toward sustainable development. As Caiado et al. (2018) stated, “The SDG agenda calls for a global partnership—at all levels—between all countries and stakeholders who need to work together to achieve the goals and targets, including a broad spectrum of actions such as multinational businesses, local governments, regional and international bodies, and civil societal organizations.” In this regard, Higher Education Institutions (HEIs) and Research Centers (RCs) should play an active and central role in promoting and participating in these new goals.

In the past, HEIs played a role in “transforming societies and serving the greater public good, so there is a societal need for universities to assume responsibility for contributing to sustainable development” ( Waas et al., 2010 ), and HEIs “should be leaders in the search for solutions and alternatives to current environmental problems and agents of change” ( Hesselbarth and Schaltegger, 2014 ). For Bizerril et al. (2018) , the knowledge of sustainability in HEIs should be encouraged worldwide and especially those located in regions with serious social and environmental challenges. In this sense, researchers must discuss how to cooperate and to share knowledge for a sustainable society, and HEIs could respond to sustainability through cooperation. According to Lozano et al. (2015) , HEIs (and in extension, RCs) could tackle sustainable development from the following initiatives: (1) Institutional frameworks (i.e., HEIs commitment with vision, missions, SD office…); (2) Campus operations related to the physical built environment (e.g., energy use and energy efficiency, waste, water and water management); (3) Education (e.g., courses on sustainable development); (4) Research (e.g., research centers, publications, research funding); (5) Outreach and collaboration (e.g., exchange programmes for students in the field of sustainable development); (6) Sustainable development through on-campus experiences; and (7) Assessment and reporting. Despite all these aspects, as Caeiro et al. (2013) study stated, only a few institutions follow a holistic implementation, in which sustainable development is applied in all traditional sustainability dimensions via its inclusion in social, economic, and environmental pillars.

The Role of Scientific Research in the Achievement of SDGs

Scientific research is one of the most relevant dimensions in the effective achievement of SDGs and Agenda 2030. According to Tatalović and Antony (2010) science did not factor strongly in the discussions on how to achieve MDGs goals. However, Leal Filho et al. (2017) see SDGs as an opportunity for scientific research to contribute to the achievement of the goals. For Leal Filho et al. (2018) , development goals are an opportunity to encourage sustainability research through interdisciplinary and transdisciplinary research. Several authors also support the important role of scientific research to achieve SDGs ( Wuelser and Pohl, 2016 ), namely as a way to solve concrete social problems, while sustainability science 5 could support the transition for sustainability. Yet, to our knowledge, no large-scale study has sought to investigate which SDGs are prioritized in the research by HEIs at a global level. The ambition of this study is precisely to fill this gap by providing a global mapping of research topics related to SDGs, identifying who the main contributing HEIs to this research are.

Scientometric Analyses of SDGs-Related Research Outputs From HEIs

Scientometrics is a research area focused on studying research activities (e.g., production, evolution, collaboration, impact, etc.) in order to understand the scientific dynamics across subject areas, institutions, or countries. Scientometric studies offer a powerful tool to generate global pictures of the research activities in a given area. There are different scientometric studies that previously analyzed sustainability, sustainable development or sustainability science based on a keyword search ( Nučič, 2012 ; Schoolman et al., 2012 ; Hassan et al., 2014 ; Kajikawa et al., 2014 ; Pulgarin et al., 2015 ; Ramírez Ríos et al., 2016 ; Olawumi and Chan, 2018 ). Some studies focused on analyzing the output of sustainability in higher education ( Bizerril et al., 2018 ; Veiga Ávila et al., 2018 ; Alejandro-Cruz et al., 2019 ; Hallinger and Chatpinyakoop, 2019 ). However, few studies have specifically analyzed scientific output on SDGs, probably due to the intrinsic difficulty in determining the contributions of science to SDGs ( Armitage et al., 2020 ).

Despite these difficulties, some studies have already tried to analyze the interrelations among SDGs ( Le Blanc, 2015 ; Griggs et al., 2017 ). Körfgen et al. (2018) analyzed the contribution of Austrian universities toward SDGs. Sweileh (2020) analyzed 18,696 publications from Scopus by searching the term “sustainable development goal.” Another study ( Nakamura et al., 2019 ), analyzed 2,800 publications (with an expansion to 10,300), developed topic maps from the publications identified. One of the authors of this paper had already carried out a preliminary scientometric study ( Bautista-Puig and Mauleón, 2019 ) by analyzing the core of scientific publications on MDGs and SDGs ( n = 4,532) in addition to the interrelations between different SDGs from a scientometric point of view. However, to the best of our knowledge, no previous study has approached a large-scale study of MDGs and SDGs relations from a scientometric point of view, considering the role of Higher Education Institutions and Research Centers in the production of research around MDGs and SDGs.

The development of these types of studies is paramount in order to assess and understand their potential limitations and robustness ( Rafols, 2020 ), particularly given the increasing number that are starting to use keyword-based scientometric queries, and machine learning approaches ( Pukelis et al., 2020 ) in order to map the contribution of research to the understanding of SDGs (e.g., Elsevier, OSDG tool, STRINGS Project, Dimensions, Aurora Project), and even their impact (e.g., Times Higher Education SDG Impact indicators). Thus, it is important that different methods and approaches are considered and discussed, particularly highlighting their advantages and limitations. This study aims at contributing also to this debate, as well as to provide scientometric evidence on the main research patterns around SDGs, that can help foster the debate on the role of universities to the SDGs goal.

The main purpose of this article is to produce a quantitative study of the scientific research on development goals during the period 2000–2017. Our ambition is 2-fold, on the one hand to propose a scientometric method based on citation relations that can be used to identify research conceptually related to MDGs and SDGs (henceforth M&SDGs), and on the other hand to identify and analyze the main institutions involved in the development of M&SDGs-related scientific outputs, as well as to characterize the main underlying topics related to M&SDGs research. The scientometric analysis was guided by three main research questions:

- RQ1: How can M&SDGs research can be scientometrically delineated and collected? This question focuses on applying an advanced citation-based approach to determine what M&SDG-related research is.

- RQ2. How has M&SDGs research carried out by HEIs has developed over time? This question seeks to characterize how the production of research outputs on M&SDGs has evolved over time, with a special focus on its main producers (institutions and countries). The unit of analysis of this study is on HEIs and RCs (hereafter HEIs). For the more specific definition of these terms used in this study, the reader is referred to Supplementary Material .

- RQ3: What are the specific M&SDGs research topics that have been studied by HEIs? This question identifies and characterizes the main research topics studied in the scientific literature produced by HEIs, with a special focus on the interrelations among the 17 SDGs based on the ad-hoc glossary developed by Bautista (2019) .

The rest of the article is organized as follows. The next section includes the methods section. This is followed by the results and discussions, providing answers to the research questions. Finally, the last section presents the main conclusions and suggestions for future research.

An important methodological difficulty with the definition of M&SDGs research is the discrepancy between what is research related to M&SDGs and what is research on M&SDGs . “ Research related to M&SDGs” comprises research that is related to concepts, issues or ideas related to the M&SDGs but without necessarily a direct linkage to the M&SDGs core (e.g., an institution doing research related to malaria prior to the official launch of the SDGs). “ Research on M&SDGs” comprises research directly focusing on the concepts, notions and principles of the M&SDGs (e.g., research directly mentioning “Sustainable Development Goal” or citing a paper that does it). In this work we partly incorporate both perspectives. Thus, we consider that a scientific publication is on the M&SDGs if it mentions either the concepts of MDG or SDGS (i.e., core research), or at a minimum cites, or is cited by, the core research. From a conceptual point of view it can be argued that our approach focuses on identifying research conceptually related to the “discourse of development goals,” and more specifically about how this topic has been constructed in the research by HEIs. With this citation-based approach we are providing a focused analysis on the scientific research that has a stronger cognitive 6 alignment with the M&SDGs philosophy and aims, thus avoiding the limitations of semantic approaches (e.g., based on keywords), in which different selections of keywords and terms are possible (and potentially questionable—see Rafols, 2020 ).

The following methodological steps were followed: (1) Formulation of a search strategy to identify the core M&SDGs literature; (2) Expansion of the dataset based on direct citations (cited and citing publications); (3) Data collection refining and information processing; and (4) Development of scientometric indicators.

(1) Formulation of a search strategy to identify the core M&SDGs literature

In the first step, we designed a search strategy composed by keywords that unambiguously relate to M&SDGs 7 . These keywords were searched in titles, abstracts, and keywords (author and paper keywords 8 ). The search strategy was run using the in-house CWTS WoS database (limited to publications from the years 2000–2017). A total of 4,685 publications were collected, and all publication types indexed in the Web of Science were considered. These are considered as the M&SDGs core set of publications.

(2) Expansion of the dataset based on direct citations (cited and citing publications)

Starting from the M&SDG core set of publications ( n = 4,685), the set of their direct citations (DC), considering both cited ( n = 59,180) and citing ( n = 74,859) publications were collected, 9 resulting in a final set of distinct publications referred to as M&SDGs Expansion ( n = 129,379).

(3) Data collection refining and affiliation information processing

In a following step, a total of 25,299 publications between 2000 and 2017 10 were selected, excluding 104,080 publications from years outside this period. These publications were further characterized, identifying those publications with at least one affiliation from HEIs ( Figure 1 ), thus conforming the final dataset of analysis, with 21,653 publications (85.59%). The harmonization of the affiliations was based in the in-house CWTS database ( Waltman et al., 2012 ).

Figure 1 . Methodological workflow for delineating M&SDGs on this study and creating the final dataset.

(4) Development of scientometric indicators & analytics

The following indicators were analyzed for the final dataset:

(i) Research patterns

- Yearly trend in scientific output in M&SDGs overall and by these institutions. A trend analysis of 6-year blocks is considered.

- Cumulative Average Growth Rate (CAGR) . The formula is the following:

Where X 1 and X n are the values found for the first and last periods studied. The expression is equivalent to the compound average growth rate (CAGR) often used in finance to measure mean growth across a time series.

- Output by institutions and countries : Absolute values and “ Activity Index ” (AI) of their M&SDGs research ( Supplementary Equation 1 ). The AI was proposed by Frame (1977) and it is used to analyze the degree of relative specialization of an actor (institution or country) in a research field. The indicator represents the percentage contribution of each country to the total WoS production, compared to the percentage of contribution in the analyzed topic. ArcGis software was used for creating the maps.

(ii) Subject specialization.

- Co-occurrence map 11 based on keywords using the VOSviewer tool 12 to identify thematic clusters within the scientific landscape. Regarding the clustering, VOSviewer applies its own algorithm based on modularity optimization ( Van Eck and Waltman, 2017 ). Table 1 summarizes the indicators analyzed.

Table 1 . List of indicators analyzed for the co-occurrence maps.

- Keywords “burst citation.” Burst is a concept associated with a change of a variable's value in a relatively short time. Those sudden increases in the usage frequency of keywords (i.e., burst strength) in order to determine the hotness of a topic were identified using Kleinberg's algorithm ( Kleinberg, 2003 ). This value is not normalized, but the ranking order and the duration of the burst are rather relevant for its interpretation.

- Scientific production classification into the SDGs . In order to study the semantic relations between the different SDGs (in terms of SDGs sharing similar keywords across publications), the individual publications were classified in accordance with the different SDGs. To classify the publications into individual SDGS, an ad-hoc ontology ( Bautista, 2019 ) with 4,122 terms has been applied. Publications were classified in different individual SDGs based on the linkage between the keywords in the publications and the ontology, allowing publications to be classified in more than one SDG when their keywords would point to different SDGs. A total of 20,749 (82.01%) publications were finally classified in at least one of the 17 SDGs. This includes keywords related to each SDG based on the United Nations-Description (e.g., “poverty” was classified into “SDG1-No poverty,” “sanitation” into “SDG6- clean water and sanitation”), 13 as well as a manual-supervision of the keywords located as the core and its consequent extension.

In this section the main results of the paper are presented in relationship to the main research questions formulated above.

Research Output and Main Actors

This section analyses the M&SDGs-related research output collected, as well as the main actors producing it and their specialization. Figure 2 presents the evolution of the scientific output of development goals produced. The scientific evolution shows a growing tendency, with an overall growth of 828.65% over the period and a CAGR of 14.01%. Since the launch of the SDGs in 2015, there has been a strong concentration of the M&SDGs research output, with more than 31.6% of the overall output published since the launch of the SDGs in 2015 (until 2017).

Figure 2 . Yearly output of the scientific production of organizations (2000–2017).

A total of 1,968 organizations were identified in the affiliations of these publications. The most productive institution was the London School of Hygiene and Tropical Medicine, with 1,963 publications (9.07%), followed by the World Health Organization (WHO), with 1,675 (7.74%), Johns Hopkins University with 1,324 (6.11%) and Harvard University with 1,079 (4.98%). However, when looking at the 6-year blocs as in Supplementary Table 1 , different tendencies are shown over time. In the first 6-year (2000–2005) sample, the number of publications was 2,330 produced by 660 organizations identified. The most productive organizations in this period were the WHO, with 292 publications (12.53%), followed by the London School of Hygiene and Tropical Medicine with 272 (11.67%) and the Johns Hopkins University with 157 (6.74%). In the second period (2006–2011), a total of 6,671 publications were produced by 1,244 organizations. During this period, the London School of Hygiene and Tropical Medicine led the ranking with 682 publications (10.22%), followed by the WHO with 580 (8.69%) and the Johns Hopkins University with 439 (6.58%). In the third period (2012–2017), a total of 12,652 publications, produced by 1,744 organizations, were identified. The same ranking of organizations as in the previous period is also found: The London School of Hygiene and Tropical Medicine leads with 1,009 publications (7.98%), followed by the WHO with 803 publications (6.35%) and the Johns Hopkins University with 728 (5.75%). Among the more productive HEIs there are only five institutions from developing countries: two form South Africa (the University of Cape Town and the University of the Witwatersrand), one from Uganda (Makerere University), one from Pakistan (Aga Khan University), and one from Brazil (the Federal University of Pelotas).

Figure 3 shows a scatter plot of the relation between the institutions with a higher scientific production on SDGs [P(M&SDGs)] and their AI around research on this topic [AI(M&SDG)]. The size of the bubbles indicates the number of publications in WoS of each institution (only institutions with more than 50 are included in the Figure). Overall, the most productive institutions present a lower AI (e.g., the Johns Hopkins University and Harvard University with P(M&SDG) = 1,324 publications and P(M&SDG) = 1,024, respectively, have an AI of 8.70 and 3.89, respectively). The WHO [P(M&SDG) = 1,675] and the London School of Hygiene and Tropical Medicine [P(M&SDG)= 1,963] present a high AI of more than 88% each. Among the institutions with the larges AI values we find other institutions such as the Stockholm Environment Institute (AI 190.47), Aga Khan University (AI 141.06), or the International Center for Diarrhoeal Disease Research, Bangladesh (AI 132.55) ( Figure 3 ).

Figure 3 . Scatter plot of the Top 20 organizations ranked by AI (with more than 50 docs.).

A map is drawn in order to show the geographical distribution of M&SDGs publications ( Figure 4 ). The most productive countries during the whole period were the United States (8,473 publications, 39.13%), followed by the United Kingdom (6,053 publications, 27.95%), Switzerland (2,232 publications, 10.31%), Australia (1,959 publications, 9.05%), and Canada (1,757 publications, 8.11%). By periods, in the first one (2000–2005) a total of 67 countries produced at least one publication on M&SDGs research increasing to 86 countries in the second period, and to 95 countries in the third period, with the same set of countries mentioned above as the most productive in each period ( Figure 4 ). From the point of view of the specialization (measured by the AI), African and Asian countries exhibit a stronger specialization in M&SDGs research compared to countries from other regions. Uganda is leading the specialization in the whole period (29 publications and AI of 24% in the first period: 107 and AI 32.60 in the second period and 265 publications and AI of 43.130 in the third period). Supplementary Table 2 provides information on 6-year blocs to see differences over time. Apart from Uganda, other African countries (Tanzania, South-Africa, Zimbabwe, Ghana, Rwanda, Mozambique, or Ethiopia) stand out in specialization. Besides, other countries from Asia (Bangladesh, Pakistan), or Europe (Switzerland) present a higher AI on the topic.

Figure 4 . Geographic distribution of scientific publications and AI (countries with >20 publications).

Keyword Co-occurrence Analysis

To reveal the main topics of the M&SDGs research, Figure 5 shows a keyword co-occurrence-based clustering. The parameters for creating the maps are detailed below: LingLog Modularity normalization method, 566 items; link of 65,446; link strength of 298,485; and repulsion, resolution and minimum cluster size with a value of 1 14 . Keywords (nodes) in VOSViewer maps are located in such a way that the distance between them is related to their co-occurrence frequency. Terms located closely in the map means that they tend to appear together in the titles and abstracts of the papers, and therefore it can be argued that they are thematically connected. The following five clusters were identified: Cluster #1, with terms related to the millennium development goals inheritance and policy framework; Cluster #2 with terms about maternal mortality and care; Cluster #3 with terms related to the health systems (“diagnosis,” “treatment”); Cluster #4 with terms about the African health ecosystem, and Cluster #5 including terms related to the developing countries' landscape (health, community, water, and so on). Table 2 summarizes the main information of each cluster (number of nodes, core papers, average year, average links, and the most frequent keywords). It can be observed that cluster 1 is the largest in terms of publications, followed by cluster 2. The number of links per paper (#link avg ) is higher in cluster #2 and cluster #3, both related to health issues, suggesting a stronger connection between these two clusters. In most clusters, the average year (#year avg ) is 2012, suggesting that an important share of the output has been developed in the most recent years of study, which is backed up by the growing M&SDGs output over time discussed above. The percentage of core publications (i.e., directly referring to M&SDGs) for each cluster is indicated in the column “% core papers,” showing that clusters #1 and #2 (with 45.40 and 37.55% of core publications, respectively), are clusters with a stronger conceptual proximity with the M&SDGs core ideas and aims, while the other clusters have a more indirect relationship with these core ideas.

Figure 5 . Co-occurrence map (frequency of, at least, 50 keywords) of scientific research.

Table 2 . Summary of five thematic clusters.

Keyword Burst Analysis

In this section, burst detection for keywords in M&SDGs publications is performed in order to show what terms have more rapidly increased attention in citations accumulation. We have identified at least 60 different bursting keywords during the period. Supplementary Table 3 lists the 60 keywords with the strongest citation bursts, along with their strength and time span. The term “middle income country” has the strongest citation burst with a burst strength of 75.13, followed by “tuberculosis” with 66.52 and “maternal health” with 64.98. Some keywords have only been “bursting” at the very beginning of the period (e.g., “low birth weight,” 2000–2003; “economic growth,” 2000–2001; and “rural Bangladesh,” 2000–2001). However, in more recent years, strongly bursting citation keywords include “new-born” (16.65, time span of 2015–2017), “middle income country” (75.13, 2014–2017), “maternal health” (64.98, 2014–2017), and “delivery” (36.38, 2014–2017).

Individual SDGs Analysis

Publication prevalence.

The following SDGs were most prevalently represented in the publications ( Supplementary Figure 1 ): SDG3 “Good Health and well-being,” with 15,963 papers (76.93%); followed by SDG16 “Peace, justice and strong institutions,” with 11,658 (56.19%); SDG11 “Sustainable cities and communities,” with 9,541 publications (45.98%); and SDG10: “Reduce inequalities,” with 6,115 publications (29.47%). On the other hand, the least represented SDGs are: SDG 12 “Responsible production and consumption,” 939 papers (4.51%); and SDG7 “Affordable and clean energy,” with 1,095 (5.26%).

Geographic Distribution

Figure 6 shows two different perspectives on the production of publications across continents related to their contribution to the research of each individual SDG. In Figure 6A , the contribution of each continent to each SDGs is presented (reading row-wise); while the table on the right depicts the share of each continent across the different individual SDGs (reading column-wise). Publications are assigned to each continent based on the affiliation of the first-author of the paper. The results of the left table show that all goals have higher production in Europe and North America. Considering all M&SDGs research, it can be observed that in Europe the largest percentage of output is in SDG13 “Climate action” (46.23%), followed by SDG12 “Responsible Production” (44.85%) and SDG15 “Life on Land” (44.28%). In America, the largest is SDG2 “Zero Hunger” (37.60%), followed by SDG5 “Gender Equality” (15.50%), and SDG3 “Good Health” (13.32%). In Africa, the highest production is in SDG5 “Gender Equality” (15.50%); SDG4 “Quality Education” (14.27%); and SDG11 “Sustainable cities” (13.73%). In Asia, the greatest output is in SDG17 “Partnership for the goals:” (13.97%); SDG4 “Quality Education:” (13.33%); and SDG5 “Gender Equality” (13.31%). Finally, in Oceania, the higher production of these institutions is in SDG13 “Climate Action” (8.47%); SDG12 “Responsible Production and consumption” (7.24%); and SDG15 “Life on Land” (6.81%). From a global perspective, if we consider the distribution of the publications on each goal by continent to determine their profile ( Figure 6B ), the approach of the different SDGs exhibit more similar patterns, although some SDGs—such as SDG3 “Good Health,” SDG16 “Peace, Justice,” and SDG10 “Reducing Inequalities”—stand out from the others.

Figure 6 . Contribution of each continent to each SDGs (A) and profile by continent (B) .

Cognitive Relationships

Although the interlinked nature of SDGs has been stressed, their interactions are “not explicit in the description of the goals” ( Griggs et al., 2017 ). For instance, SDG11 “Sustainable Cities,” contains targets related to economic dimensions (e.g., financial and technical assistance for developed countries, expenditure on the conservation of cultural and natural heritage), social dimensions (e.g., number of deaths per disaster and urban population living in slums), or environmental dimensions (e.g., reducing the adverse environmental impact of cities per capita, or the proportion of urban solid waste), and these three could be conceptually linked to other SDGs, for example SDG6 “Clean Water.” In our study, to reveal their cognitive relations (measured via citations), a co-citation map has been created. The proximity between SDGs indicates their similarity in terms of co-citation occurrence (i.e., publications from the two SDGs appear often cited together in the same set of publications). The size of the nodes reflects the frequency of SDGs in terms of overall publications, and the thickness of the edges denotes how often these SDGs are co-cited. Figure 7A shows the SDGs map of the M&SDGs research. The following clusters of SDGs are identified:

Figure 7 . Co-citation occurrence map of (A) M&SDGs research, and (B) average publication year.

Cluster 1 (red) is formed by SDGs with a strong industrial and energy orientation [SDG6 ‘Clean Water’, SDG7 ‘Clean Energy’, and SDG9 ‘Industry, Innovation’] and the environment (SDG15 ‘Life on Land’, and SDG14 ‘Life below Water’). Cluster 2 (blue) groups; SDG1 “No Poverty,” and SDG2 “Zero Hunger,” being two of the most important SDGs inheritance of MDGs. SDG1 is directly and indirectly related to all other SDGs, but dependent on SDG2 International Council for Science, 2015 ].

Cluster 3 (yellow) includes SDG10 “Reduced Inequalities,” and SDG17 “Partnership for the Goals,” linking the reduction of inequalities and partnership.

Cluster 4 (green) is composed by SDGs related with health, urbanization and peace: SDG3; “Good health;” SDG4 “Quality Education;” SDG 5 “Gender Equality;” SDG11 “Sustainable Cities;” and SDG16 “Peace, Justice.” For instance, SDG11 “Sustainable Cities” and SDG3 “Good Health” have a strong connection (link strength of 5,154).

Cluster 5 (purple) is composed only by SDG8 “Decent work.” However, this goal has links with SDG9 “Industry, Innovation” and SDG11 “Sustainable Cities,” or SDG3 “Good Health,” among others.

Figure 7B depicts the evolution of the SDG in each cluster from the average publication year (2011–2012). The more yellow indicates the more recent the publications. It can be observed how SDG3 “Good Health,” SDG8 “Decent Work,” SDG16 “Peace, Justice”, and SDG11 “Sustainable Cities” have had research output from earlier years, as compared to the other SDGs. From another perspective, SDGs with a stronger recentness in scientific output include SDG17 “Partnership for the Goals,” SDG10 “Reduced Inequalities,” SDG5 “Gender Equality,” and SDG4 “Quality Education,” indicate that awareness of areas related to education or gender are of a more recent nature.

The proposal of the different SDGs in 2005 together with Agenda 2030 has led to the creation of a path of collective national and international awareness toward sustainability. One of the main features of SDGs is their increasing relevance not only for policy makers, who are encouraging sustainability-oriented policies, but also for the scientific community as a whole ( Kajikawa et al., 2007 ; Sweileh, 2020 ). This study presents an empirical scientometric analysis of M&SDGs research, and the role of HEIs in its development. As stated in the literature review, few studies have focused on analyzing the research output of SDGs, and even fewer have focused on the role of the organizations developing such research. Thus, this paper contributes to the debate around the incorporation of the M&SDGs in the research agenda of HEIs by providing an overview of output in the area, and by proposing a practical methodology approach to delineate this area in bibliometric databases.

How Can M&SDGs-Research Be Scientometrically Delineated and Collected?

A well-delineated methodology is crucial to identify the research publications on a specific topic. In this study, we propose a citation-based methodology to track and monitor M&SDGs-related research. The application of our methodology retrieved a total of 25,299 publications, which identifies a much larger set of publications of M&SDGs at HEIs than in similar previous studies ( Bizerril et al., 2018 ; Veiga Ávila et al., 2018 ; Hallinger and Chatpinyakoop, 2019 ). The study by Nakamura et al. (2019) used a very similar methodology as the one presented here, however we identified a larger set of publications related to M&SDGs (4,685 in the core and 25,299 in total in the present study vs. the 2,800 in the core and 10,300 total in Nakamura study). The main reason for this difference is that in the present study the MDGs were also considered, as well as the fact that the CWTS WoS version has a more efficient citation matching algorithm than the one in WoS ( Olensky et al., 2016 ). The citation-based approach of this study, as well as in Nakamura et al. (2019) , offers some advantages in comparison with previous studies that applied keyword-based approaches ( Kajikawa et al., 2007 ; Elsevier Research Intelligence, 2015 ). For instance, it offers a systematic approach that can easily be reproduced and can be applied to any other database that records citation linkages among publications (e.g., Web of Science, Scopus, Microsoft Academic Graph, Dimensions, Crossref Open Citations, etc.), making possible the replication of this approach in future studies. Another important advantage of our approach is that it focuses on identifying publications that are cognitively related to M&SDGs, since the selected publications have cited/are citing relationships with the core literature on M&SDGs, thus avoiding the problem of delineating M&SDGs-related research using keywords. Keyword-based approaches would typically identify as SDGs-related research publications that only have a circumstantial relationships with SDGs, but that are not totally related to them (e.g., publications related to “economic growth,” but not in the philosophy underlying the M&SDGs—i.e., sustainable economic growth). Finally, the method developed here has the advantage that it captures the M&SDGs research output at the global level, thus providing an international perspective on the discussion around the study of the research activity on M&SDGs. However, in future studies other more local perspectives (e.g., the study of publications in local languages, local publishers) should be also explored.

How Has M&SDGs Research Carried Out by HEIs Developed Over Time?

The results presented in this study suggest that although one may presume that M&SDGs research would have a long tradition since the launch of the MDGs, there is an important concentration of publications in the most recent years, denoting a more recent interest in the SDGs (21.83% in 2000–2014, the MDGs period vs. 31.66% from 2015 to 2017 since the launch of the SDGs). However, we should take into consideration that by using WoS there is a strong bias toward English-language journals and might have distorted the results. In any case, this recency trend in the production of M&SDGs-related research is in line with the results obtained by Olawumi and Chan (2018) who observed that the scientific output on sustainable development, 2015–2016, represents 36.27% (vs. 21.42% on M&SDGs in the present study). There have also been previous publications discussing the growth of the scientific production related with sustainability. For example, Pulgarin et al. (2015) argued that the growth of research production in sustainability can be explained by “the impact of human activity on the environment” which “is leading to this area of research [sustainability] being studied from ever more different fields.” Olawumi and Chan (2018) consider that this increase could be also linked to “more efforts and resources” being devoted to this topic. For Nučič (2012) , the increasing growth of the scientific output could be associated with “sustainability science as a highly interdisciplinary research field.” This is in line with Schoolman et al. (2012) , who indicated that “sustainability research is more interdisciplinary than other scientific research” (based on the Shannon entropy measure), supporting the suggestion by Nakamura et al. (2019) that SDGs research is based on “transdisciplinary knowledge” between different fields, arguing that “most scientific disciplines are expected to contribute toward sustainability since in sustainability we have complex structures, including environmental, technological, societal, and economic facets” ( Kajikawa et al., 2014 ).

In previous studies on M&SDGs the role of these institutions has not been specifically analyzed (e.g., in Nakamura et al., 2019 ). Institutions like the London School of Hygiene, the WHO, and the Johns Hopkins University stand out among the most productive institutions. Their predominant role can be explained by their relatively large sizes; however, their AI confirms that these institutions are also highly specialized on this topic too. The London School of Hygiene belongs to the University of London and is specialized in public health and tropical medicine; while the WHO is a specialized agency of the United Nations focused on international public health. As well, London School of Hygiene have focused recently on health systems' strengthening (HSS) ( Seidman, 2017 ). The predominant role in output and specialization of the WHO, which is not a HEI or a RC but a supra-governmental organization that provides statistics for monitoring health-related aspects of the SDGs, 15 may be also seen as a sign of the strong social and political relevance of M&SDGs research.

Some other organizations that, although smaller in terms of output, have a high degree of specialization are the Stockholm Environment Institute (AI 191.47), the Aga Khan University (AI 141.06), or the International Center for Diarrhoeal Disease Research, Bangladesh (AI 132.55). This relative importance of small organizations goes in line with Nakamura's et al. (2019) results, who suggested that not always the largest institutions “set the agenda” in M&SDGs research, but that smaller ones also could be key players (e.g., Stockholm Environment Institute, and the University of London).

This study confirms the observation by Yarime et al. (2010) of an increasing number of countries engaged in research on sustainability. Our results also resonate with studies like that of Adomßent et al. (2014) , who also stated that the HEIs' sustainability research is mostly produced by authors from developed countries such as the USA, the United Kingdom, Australia, or Canada. However, in terms of relative specialization, our study shows that African and Asian countries exhibit a much stronger specialization. A special case is South Africa. This country is the sixth country in number of M&SDGs publications, and one of its universities (i.e., University of Cape Town) is the most prolific African institution in M&SDGs research. This strong relevance of SDGs research in South African can be reinforced by the fact that “South Africa” is a topic in the M&SDGs research map since the name of the country appears as a node in the term co-occurrence map. Although our scientometric evidence is not strong enough to conclude that the higher performance of this country in M&SDGs is the direct effect of policies aimed at encouraging research on M&SDGs, it must be highlighted that the country counts with South Africa's National Development Plan (NDP), which defines national development priorities and provides the foundations for South Africa in order to achieve the SDGs ( Cumming et al., 2017 ).

What Are the Specific M&SDGs Research Topics That Have Been Studied by HEIs?

The SDGs more frequently addressed by HEIs are SDG3 “Good Health” (76.93% of the publications), SDG16 “Peace, Justice” (56.19%), SDG11 “Sustainable Cities” (45.98%) and SDG10 “Reduced inequalities” (29.47%), which is in line with the higher percentage of overall HEIs involved on this research ( Supplementary Table 4 ). Our results contrast with the results obtained by Salvia et al. (2019) , who surveyed research experts in SDGs across continents, highlighting the following SDGs as having more activity: SDG 13 “Climate Action” (41%), SDG 11 “Sustainable Cities” (33%), and SDG 4 “Quality Education” (29%). This remarkable difference between a qualitative approach (i.e., surveys sent to experts in Salvia et al., 2019 ) and our quantitative approach, reinforces the importance of considering and combining different methodologies in the study of how science is contributing to the achievement of SDGs, and how academic stakeholders are approaching the different SDGs.

Regarding the interconnection of SDGs, according to Nilsson et al. (2016) , SDGs are more interconnected among themselves than its predecessors, the MDGs. This idea of SDGs interconnecting among themselves is supported by their consideration as “enablers for integration,” which means that the internal structures of the different SDGs is conceived to fit across more different SDGs ( Le Blanc, 2015 ), thus enabling their own integration and interconnection. This integrative and interconnected property of SDGs is observed in this study, since all goals have connections among them, being particularly remarkable the connections between the following three pairs, which presented a higher co-occurrence values: SDG16 “Peace, Justice” vs. SDG13 “Climate Action;” SDG3 “Good Health” vs. SDG11 “Sustainable Cities;” and SDG16 “Peace, Justice” vs. SDG11 “Sustainable Cities.” Moreover, the linkage between the pairs responds to complementary relationships. For instance, SDG3 “Good Health” and SDG11 “Sustainable Cities,” linking health with cities could be understood as housing, transport, and access to green spaces are major determinants of health and well-being ( International Council for Science, 2015 ).

As mentioned above, SDG3 “Good Health” is the most researched SDG identified in our study. This is not a surprise since this goal has a central role in the achievement of sustainable development ( Pettigrew et al., 2015 ), and Biomedical Research is one of the largest research areas covered in Web of Science ( Mongeon and Paul-Hus, 2016 ). In any case, our results are in agreement with ( Körfgen et al., 2018 ; Sweileh, 2020 ), and as pointed out by previous studies, SDG3 “Good Health” was found to have a higher share of synergies with other SDGs in most countries ( Pradhan et al., 2017 ). The MDGs, experience has shown that without improvements in health systems performance, progress on the goals was both limited and potentially unsustainable ( Seidman, 2017 ). This may explain why this specific health-related goal (SDG3) became more ambitious and central than in the MDGs ( Seidman, 2017 ; Asi and Williams, 2018 ). It is important to highlight that one the major efforts of SDG3 has been to reduce mortality across population groups (e.g., “the poor” or “women and children”) ( Buse and Hawkes, 2015 ), thus explaining the central role of “good health” in the map of topics presented in this study. However, from our data, there is no empirical evidence suggesting why health is the goal most researched.

Conclusions

Based on an advanced citation-based field delineation, this paper provides an extensive analysis of M&SDGs research over time and contributes to contextualize and understand its trajectory. The results of this study are relevant for planners and decision-makers in HEIs. First, this paper presents a new delineation procedure for M&SDGs-related research. The methodology is simple and reproducible, allowing its application in future studies for researchers, as well as its implementation in other citation databases (e.g., Scopus, Dimensions, Microsoft Academic Graph, etc.). Second, our work contributes to the expansion of the toolset of research instruments aimed at evaluating the development of research around M&SDGs. We provide a relevant proof of concept on how scientometric methodologies can support the monitoring of the research developed to support the achievement of M&SDGs. The approach proposed in this paper has relevance for all stakeholders engaged in the development of research activities related to M&SDGs (e.g., HEIs, RCs, governmental and supranational organizations, NGOs, and any stakeholder interested in SDGs). Developing reproducible methodologies (as done in this paper) and establishing a stable analytical monitoring framework is fundamental for a proper understanding of how science is contributing to the achievement of SDGs. However, it is important, not only to analyze the number of papers, but also the contribution itself of those papers with the goals, targets, and indicators.

From a scientometric point of view, this study provides a novel contribution to the scientometric analysis on SDGs research output, particularly since most scientometric studies have focused on developing semantic approaches, in which the use of keywords has been the most common approximation to the topic ( Pukelis et al., 2020 ; Rafols, 2020 ). We adopt a citation-based approach. This approach does not suffer from the ambiguity of semantic approaches (e.g., synonymy, homonymy), and more fundamentally, our approach does not hold the limitation that keyword-based approaches may capture research that is not necessarily aligned with the principles and philosophical foundations of M&SDGs. Grounded on the idea that citations represent concept symbols ( Small, 1978 ), in which scientific authors associate ideas by creating symbolic acts with their citations (see also Haustein et al., 2016 ), it can be argued that our approach captures the body of scientific literature most conceptually related with M&SDGs. To the best of our knowledge, only the Nakamura et al. (2019) study and this one have adopted such a citation-based approach, with this study being the most comprehensive to-date in the body of literature analyzed.

It is important however to remark that our citation-based approach still presents some limitations that must be observed when generalizing its findings. By considering only the Web of Science (WoS) database the study may have limitations due to the underrepresentation of other related published works, which may be indexed in other scientometric databases (e.g., Scopus, Google Scholar, Microsoft Academic…). Also, WoS does not cover all academic fields equally as it presents an underrepresentation of non-English speaking studies. The methodology proposed may not necessarily capture the whole picture of research related to M&SDGs. The sole use of direct citations related to a core set of publications may also be insufficient at times, since many publications genuinely linked to M&SDGs research may be more distanced in their citation relationship with the core set. In addition, despite all types of publications from WoS being included, some other typologies of interest (e.g., governmental reports) are not captured.

Considering the methodological limitations described above, future methodological improvements should take into account the possibility of characterizing not only the directly cited/citing publications of M&SDGs, but also other citation layers (e.g., 2nd, 3 rd , or more—also known as citation cascades — Min et al., 2020 ) in the expansion of the core set of publications. The use of citation cascades would allow the introduction of a more fluid approach (in which a much larger set of scientific publications may be considered regarding their citation proximity to the core set), in contrast with the binary approach (i.e., publication are M&SDGs-related or not) used in this study. Moreover, since this is the first study that has approached the scientific output from MDGs and SDGs together, we cannot assess whether other scientometric approaches or delineations would have delivered other results, therefore this is an aspect to be considered in future studies. Moreover, future studies on the topic might be complemented by means of qualitative research methods to uncover more specific motivations and drivers for research on SDGs in different contexts. The combination of scientometric indicators with other monitoring indicators (e.g., the SDG index) should also be considered. Such combination of methods will enable more advanced insights on the relationship between the research production of countries (as done in this study) and their success in their actual achievement of the specific SDGs, thus providing a more holistic perspective on how research can complement and support the consecution of Agenda 2030.

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found at: https://doi.org/10.6084/m9.figshare.11106113.v1 .

Author Contributions

NB-P: conceptualization, data curation, software, visualization, formal analysis, and writing- original draft preparation. AA: investigation, and writing—review and editing. SL and UA: writing—review and editing. RC: conceptualization, investigation, methodology, resources, software, validation, supervision, and writing—review and editing. All authors: contributed to the article and approved the submitted version.

This work was partly supported by the Department of Science and Innovation and the National Research Foundation of South Africa.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/frsus.2021.620743/full#supplementary-material

1. ^ Sustainable development was defined as a “kind of development that meets the needs of the present without compromising the ability of future generations to meet their own needs” ( United Nations, 1987 ).

2. ^ Information on the MDGs available at the following link: https://www.who.int/topics/millennium_development_goals/about/en/ (accessed December 30, 2019).

3. ^ SDG Index available at: http://sdgindex.org/ (accessed December 30, 2019).

4. ^ There was no public consultation, as with the SDGs.

5. ^ Sustainability science is a new scientific field that investigates “complex and dynamic interactions between natural and human systems and aims “to bridge the gap between science and society and limit its knowledge to actions for sustainability” ( Disterheft et al., 2013 ).

6. ^ From a theoretical point of view, we build on the notion of citations as “concept symbols” ( Small, 1978 ) in which any publication cited by or citing M&SDGs core publications can considered to have a cognitive association with M&SDGs research.

7. ^ The search strategy was composed of the following parameters: TS = “Millennium Development Goal * ” OR TS = “Millennium Goal * ” OR TS = “Sustainable Development Goal * ”.

8. ^ Web of Science divides between author keywords (included in records of articles and determined by the authors) and keywords plus or “paper authors” (index terms automatically generated from the titles of cited articles).

9. ^ The approach used in this study (identification of a seed of papers, and expansion based on citation relationships) has been used in previous studies (see Reijnhoudt et al., 2014 ).

10. ^ The period corresponds with the launch of the MDGs in 2000.

11. ^ Co-citation is defined as the frequency with which two publications are cited together by other publications.

12. ^ VOSviewer is a software tool for constructing and visualizing bibliometric networks. These networks may include nodes of journals, researchers, or individual publications, and they can be constructed based on citation, bibliographic coupling, co-citation, or co-authorship relations. Additionally, it offers text mining functionality that can be used to construct and visualize co-occurrence networks of terms extracted from a research dataset ( https://www.vosviewer.com/ —accessed December 30, 2019).

13. ^ Information available at: https://www.un.org/sustainabledevelopment/sustainable-development-goals/ (accessed December 30, 2019).

14. ^ For more clarification of these values the author is referred to the VOSViewer Manual https://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.8.pdf .

15. ^ Information available at: https://www.who.int/sdg/en/ .

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Keywords: sustainable development goals, millennium development goals, higher education institutions, sustainability science, bibliometrics, scientometrics

Citation: Bautista-Puig N, Aleixo AM, Leal S, Azeiteiro U and Costas R (2021) Unveiling the Research Landscape of Sustainable Development Goals and Their Inclusion in Higher Education Institutions and Research Centers: Major Trends in 2000–2017. Front. Sustain. 2:620743. doi: 10.3389/frsus.2021.620743

Received: 23 October 2020; Accepted: 01 March 2021; Published: 25 March 2021.

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Copyright © 2021 Bautista-Puig, Aleixo, Leal, Azeiteiro and Costas. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Núria Bautista-Puig, nuria.bautista.puig@hig.se

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A bibliometric analysis of sustainable development goals (SDGs): a review of progress, challenges, and opportunities

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• Manoranjan Mishra   ORCID: orcid.org/0000-0003-4545-7218 1 , 11 ,
• Sudarsan Desul   ORCID: orcid.org/0000-0003-4867-236X 2 , 12 ,
• Celso Augusto Guimarães Santos   ORCID: orcid.org/0000-0001-7927-9718 3 ,
• Shailendra Kumar Mishra   ORCID: orcid.org/0000-0002-1840-0374 4 ,
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The Sustainable Development Goals (SDGs) are a global appeal to protect the environment, combat climate change, eradicate poverty, and ensure access to a high quality of life and prosperity for all. The next decade is crucial for determining the planet’s direction in ensuring that populations can adapt to climate change. This study aims to investigate the progress, challenges, opportunities, trends, and prospects of the SDGs through a bibliometric analysis from 2015 to 2022, providing insight into the evolution and maturity of scientific research in the field. The Web of Science core collection citation database was used for the bibliometric analysis, which was conducted using VOSviewer and RStudio. We analyzed 12,176 articles written in English to evaluate the present state of progress, as well as the challenges and opportunities surrounding the SDGs. This study utilized a variety of methods to identify research hotspots, including analysis of keywords, productive researchers, and journals. In addition, we conducted a comprehensive literature review by utilizing the Web of Science database. The results show that 31% of SDG-related research productivity originates from the USA, China, and the UK, with an average citation per article of 15.06. A total of 45,345 authors around the world have contributed to the field of SDGs, and collaboration among authors is also quite high. The core research topics include SDGs, climate change, Agenda 2030, the circular economy, poverty, global health, governance, food security, sub-Saharan Africa, the Millennium Development Goals, universal health coverage, indicators, gender, and inequality. The insights gained from this analysis will be valuable for young researchers, practitioners, policymakers, and public officials as they seek to identify patterns and high-quality articles related to SDGs. By advancing our understanding of the subject, this research has the potential to inform and guide future efforts to promote sustainable development. The findings indicate a concentration of research and development on SDGs in developed countries rather than in developing and underdeveloped countries.

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Sustainable development goals: a bibliometric analysis of literature reviews

Understanding the Research Interlinkages Between Anthropocene, Millennium and Sustainable Development Goals: A Global Bibliometric Analysis

Bibliometric analysis of scientific publications on “sustainable development goals” with emphasis on “good health and well-being” goal (2015–2019)

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1 Introduction

The Anthropocene era is marked by a range of significant global challenges, including climate change, environmental degradation, public health issues such as global pandemics, rising social inequality, and food and water scarcity in several countries (Huang & Chang, 2022 ; Khojasteh et al., 2022 ). The growing human population demands the speedy development of modern infrastructure, including housing, health care, quality roads, education, communication, and related services (Aravindaraj & Rajan Chinna, 2022 ). Traditional lifestyles and values are eroding fast and being replaced by technology-driven living standards (Chen & Wang, 2022 ; Wahab et al., 2012 ).

The rapid development of the global economy driven by excessive consumption of natural resources and unsustainable development policies has led to serious socioeconomic and environmental challenges in recent decades (Guo et al., 2022 ). Achieving benchmarks of economic growth at any cost has become a top priority for governments to withstand international competition and fulfill local aspirations. In this process, narratives on development often ignore and overlook the irreversible harm caused by developmental hazards to natural entities and the amount of entropy raised in the earth’s system (Alcántara-Ayala, 2002 ; Hemingway & Gunawan, 2018 ).

Sustainability has an important role in the world agenda, mainly after the advances of the Rio Declaration on Environment and Development in 1992 (Rio 92), the Declaration of Principles for the Sustainable Management of Forests, and the Agenda 21 of the United Nations Conference on Environment and Development (Guo et al., 2022 ). These advances discussed how to make sustainable development a reality in the world. Furthermore, in September 2001, the United Nations presented the Millennium Development Goals (MDGs) as a list of common goals for the world community to achieve by 2015. Since then, remarkable progress has been made toward achieving the MDGs (Fehling et al., 2013 ). The objectives of MDGs were to minimize deepening global mistrust toward international economic institutions and provide a unique platform for the member states to act collectively with individual accountability (McArthur, 2014 ). Thus, implementing the MDGs would improve health standards, reduce maternal and child mortality, minimize social disparities, promote gender justice and eradicate poverty among populations to make the earth system a better place to live (Chasse, 2016 ; Doyle & Stiglitz, 2014 ). Long-time concerted and consistent efforts of the UN ultimately succeeded in convincing member states to envisage the tenets of MGDs in their development policies and follow the proposed timelines (Lomazzi et al., 2014 ).

In 2015, the United Nations General Assembly adopted the Sustainable Development Goals (SDGs) in the 2030 Agenda for sustainable development, which included 17 goals and 169 targets. Since then, greater attention has been paid to sustainability at different levels of governance structures in financial institutions, companies in the public and private sectors, and in governments across the planet (Death and Gabay, 2015 ). Nevertheless, the ongoing deforestation of the Amazon (Silva et al., 2023 ) and rising levels of greenhouse gas emissions are posing severe threats to the health of our planet. This, in turn, is leading to a chain of climate phenomena that have an impact on the economies of nations and the quality of life of their populations (Espinoza et al., 2023 ), as well as an increase in the frequency of severe natural disasters (Mishra et al., 2022 ). Thus, what are the current progress, challenges, and opportunities for the SDGs? Understanding the level of discussion on the SDGs theme is crucial for us to know the available proposals and solutions and see the path forward. In this sense, SDGs have sparked significant interest among a wide range of stakeholders, including those involved in environmental decision-making, business, finance (Di Vaio et al., 2022 ), and water services, particularly governance, management, and technical solutions (Di Vaio et al., 2021 ). Currently, there is global consensus on the importance of implementing the SDGs, which can lead to development while preserving the environment and the population’s quality of life (Bebbington & Unerman, 2018 ). Water sustainability issues were included in the UN’s Agenda 2030 and 17 SDGs, providing a common framework for measuring sustainable development from a social, economic, and environmental perspective (Glass & Newig, 2019 ).

Before sustainable development, the major pitfall of approaches includes the absence of sectoral integration in making strategies and their implementation on the ground level (Garcia-Feijoo et al., 2020 ). The negative consequences of development policies included focusing on a specific sector over other development sectors, which resulted in diverging outputs and followed by trend-setting of broad objectives (Morley et al., 2017 ). The SDGs were considered to determine the international development agenda and the countries’ development policies and programs. Although the SDGs are universal, member states are free to adopt the goals of their choice based on available resources, socioeconomic priorities, and their decided pace of transformation (Eisenmenger et al., 2020 ). The inception of SDGs has triggered many systematic studies to understand, prioritize, and evaluate the progress of goals adopted by countries. The findings of these studies are expected to promote rigorous, evidence-based, reliable, and timely evaluation of achievements toward fulfilling the purposes of countries in their diverse socioeconomic settings (Kroll et al., 2019 ; Mensah, 2019 ; Weitz et al., 2018 ). Currently, decisions made regarding the SDGs are critical for the social, political, environmental, and economic sustainability of the planet. Understanding the global context based on a review of progress, challenges, and opportunities regarding the SDGs is crucial and must be studied.

Research, innovation, and sustainable education are essential mechanisms to achieve the SDGs. Over the years, the study of SDGs has experienced a consistent increase in research activity since its approval in 2015. The existing body of knowledge on SDGs provides researchers with the opportunity to explore the SDGs research domain from a variety of perspectives based on previous publications, which is essential for revealing the structure of the domain and helping researchers better understand the status quo and future trends of SDGs-related topics and to focus their studies more effectively. Some studies have attempted to assess the literature on SDGs by examining prior works. These studies can be classified into two types: qualitative and quantitative review studies. Among the qualitative SDGs review studies, Allen et al. ( 2018 ) conducted an assessment of national progress and approaches to implementing the SDGs in different countries based on existing literature. Caiado et al. ( 2018 ) discussed the roles and opportunities provided by ICTs and AI for achieving the SDGs. Lund et al. ( 2018 ) systematically reviewed how the SDGs can be used to address the social causes of mental disorders and how they could be improved to help prevent mental disorders. Leal Filho et al. ( 2020 ) explored the potential effects of the coronavirus pandemic on the SDGs. To analyze the inclusion, progress, and challenges of the implementation of SDGs, Persson et al. ( 2016 ) revised the SDGs based on alignment and internalization and concluded that increased attention and visibility of nationally defined and internalized targets are likely to enhance implementation effectiveness and should therefore be accommodated in the follow-up and review systems. Allen et al. ( 2016 ) revised and assessed 80 quantitative models that have the potential to support national development planning for the SDGs. Hak et al. ( 2016 ) highlighted the importance of indicators in analyzing the SDGs. Guo et al. ( 2022 ) measured and evaluated SDG indicators with big earth data for a more comprehensive analysis of SDGs.

In recent years, to supplement the existing qualitative reviews of SDGs research, scholars have also explored the SDGs domain through quantitative support such as meta-analysis and bibliometric analysis. Among these quantitative studies, Yamaguchi et al. ( 2023 ) performed a bibliometric analysis of the literature on SDGs to assess the evolution and consolidation of scientific research from 2015 to 2022 retrieved from the Web of Science core collection and descriptive bibliometric analysis. The results showed that the field of SDGs is fast-growing, with a trend toward diversification of research areas. Similarly, many bibliometric studies are being published on SDGs, mainly related to the business sector, education, and poverty (Pizzi et al., 2020 ; Prieto-Jiménez et al., 2021 ; Yu and Huang, 2021 ). However, there is little bibliometric research that covers the general aspects of the SDGs and their evolution. We believe that multi-disciplinary bibliometric research on the SDGs literature is still needed to enable researchers to capture more comprehensive, diverse, and detailed information in this area. To serve as a complement to previous bibliometric studies, this paper attempts to continue the bibliometric journey by exploring the SDGs research domain from a more holistic perspective. In simple words, this study investigates the bibliometric analysis of progress, challenges, opportunities, trends, and prospects of SDGs by the global community from 2015 to 2022, providing insight into the evolution and maturity of scientific research in this field.

The major factors that distinguish this study from previous bibliometric studies on SDGs are the use of a new bibliometric technique, the SciMat, which examines the intellectual structure of SDGs research from both static and dynamic perspectives. Additionally, we analyzed the contents of the most cited articles on each cluster generated by the SciMat tool. Diverse maps of science, including a word cloud of keywords, the most cited keywords, a conceptual structure map, a keyword co-occurrence network, and strategic diagrams, were constructed to depict the intellectual structure of the SDGs domain from different angles.

A bibliometric analysis of the SDGs can have a significant impact on understanding the evolution and consolidation of scientific research on the subject. It can provide an overview of scientific production, identify trends, gaps, and strengths in research, and establish relationships between different authors, institutions, and countries. In this way, bibliometric analysis can contribute to the planning of future research and improve the efficiency of efforts to achieve the SDGs. Furthermore, it can help assess the progress and impact of efforts already made to achieve the SDGs’ goals and targets, as well as identify areas where more effort and investment are needed. In short, a bibliometric analysis of the SDGs can provide a solid foundation for evidence-based decision-making and contribute to the success of global sustainable development efforts.

In order to analyze the published research on SDGs, we divided this work into several sections, such as this Introduction to the topic, containing a brief theoretical review and the objective of this study. Section two contains a literature review highlighting a brief evolutionary history of the development of MDGs and SDGs, the similarities/differences between MDGs and SDGs, and comparisons with other policies around the world. Section three describes the methodology used, database selection and search strategy, and bibliometric analysis. Section four presents the results and analysis, section five highlights the major discussions about SDGs, and section six shows the conclusions of this study. The study of SDGs has seen a steady rise in research since its approval in 2015. The exponential growth of publications has shown a slowing in recent years, suggesting a consolidation phase where literature reviews play a crucial role as high-evidence documents.

2 A brief history of the development of MDGs and SDGs

2.1 evolutionary history of mdgs and sdgs.

Toward the end of the twentieth century, defining development has increasingly become associated with ‘wellbeing,’ which is generally perceived as more than mere economic growth. There has been increasing consensus on rejecting the hegemony of Gross Domestic Product (GDP), a monetary measure to establish the market value of the finished or final goods and services produced or availed during a specified time period by any country, as an indicator of development. By 1980, emphasis is given to devising alternative indicators to measure and assess development (Allen et al., 2018 ). Some alternatives are the Genuine Progress Indicator, World Value Survey, Gross National Happiness Index, Happy Planet Index, Better Life Index, and many others (Costanza et al., 2009 ; Rajkarnikar, 2022 ). This is in the context of the broader realization that overemphasis on economic growth-centric development has led to massive environmental degradation, economic inequality, conflict, and socio-cultural unrest. The challenges are how to define development. Which indicators are to be monitored to assess development?

Most importantly, ensure that these indicators emphasize improving environmental conditions, quality of social life, reducing economic inequality, and establishing peace and harmony; however, it does not compromise economic development. None of these alternative indicators of development are entirely adequate. However, they become a building block for the foundation of alternative thinking that emphasizes inclusiveness, sustainability, eco-friendly, trans-disciplinary-and-cooperative effort, and global consensus.

The UN’s MDGs were one of the outcomes of these discourses adopted by the UN in 2000. The MDGs comprised eight primary targets, with the first objective being to eradicate extreme poverty and hunger (Chen et al., 2023 ). This objective had a fixed target to reduce the number of people living on less than a dollar per day by half. The second objective was to achieve universal primary education, while the third was to promote gender equity and empower women. The fourth was to reduce child mortality rates below the age of five by two-thirds, and the fifth target was to improve maternal health. The sixth was to combat diseases such as AIDS and Malaria, and the seventh objective was to ensure environmental sustainability by enhancing access to drinking water and other environmental amenities, especially for underprivileged populations. The eighth SDG aimed to promote global partnerships for development. While the MDGs focused on individual development rather than national development, all SDGs promote the idea of equitable development. National and international cooperation is focused on making development accessible to all, especially those who are underprivileged and underdeveloped (Kherbache & Oukaci, 2020 ). By 2020, progress toward achieving the MDGs had been mixed. However, the MDGs framework was widely recognized as a successful program by the end of its term in 2015. For example, the number of people living in extreme poverty declined from 1.9 billion in 1990 to 836 million in 2015, and the average primary education enrolments across the developing world increased from 83% in 2000 to 91% in 2015. However, the positive trend in reducing poverty was interrupted in 2020 due to the COVID-19 crisis, leading to a significant increase in poverty, with the number of people living in extreme poverty rising by 70 million to surpass 700 million. The global extreme poverty rate rose to 9.3%, up from 8.4% in 2020 (World Bank, 2023 ). Similarly, substantial improvements were made in gender equality. Klasen ( 2018 ) found a persistent gender gap in areas of opportunities, wage rate, political and economic empowerment, and other well-being parameters. Some goals were achieved at the global level, while many countries failed to meet the target. For example, child and maternal mortalities were reduced by approximately half by 2015, but children from poor households were still more likely to be affected by malnutrition, and infant mortality rates were twice as high in the poorest households compared to those in richer households (Awaworyi Churchill, 2020 ).

Similarly, the goal of access to safe drinking water was not successfully achieved in rural areas (United Nations, 2015 ). In a nutshell, the progress was uneven. Further, in other goals, though a significant level of success was achieved, the target was not met. MDG assessments suggest adding new goals and changes to existing goals. For example, Swain and Yang-Wallentin ( 2020 ) indicate that adding a ninth goal to the eight MDGs eliminates extreme inequality at the national level in every country. The MDGs were criticized for their lack of adequate focus on people with disabilities (Wolbring, 2011 ), conflict and peace (Hill et al., 2010 ), and human rights (Fehling et al., 2013 ). To summarize, as MDG Gap Task Force, founded by the UN, gives a comprehensive view of the status of the implementation of the MDGs (United Nations, 2015 ). No development program or initiative is ever cent percent successful. The impact assessment of a program is always along with a continuous range in which the present status stands somewhere. From several impact reports, one thing is evident MDGs certainly made visible impacts on the targeted aspects. For example, one of the noteworthy achievements is a decline in extreme poverty from 47 to 14% from 1990 to 2015 (United Nations, 2015b ). Similarly, the share of undernourished people was also reduced to half.

Further, the child mortality rate declined by 45% during this period (United Nations, 2015b ). However, infectious diseases, gender, and income inequality continued to prevail, and millions of people were still in extreme poverty. Around the globe, more than 60 million people were affected by the conflict from 1990 to 2015 (United Nations, 2015b ). While MDGs had considerable achievements, there were some lacunas as well. The distribution pattern of MDGs implementation varies from region to region and goal to goal. Many developing nations were seriously off-target in cases of undernourishment, infant mortality, maternal mortality, and sanitation. For infant and maternal mortality, around 53% and 61% of the developing nations were reported to be seriously off-target. Again, 40% of the nations were seriously off-target for sanitation. On the other hand, many countries had remarkable progress in eradicating extreme poverty, achieving education and gender parity, and providing clean drinking water. The implementation of MDGs had a differential impact on different sections of people. For example, the poorer sections of the developing nations were often left out of the benefits reaped by MDGs (World Bank, 2016 ). Thus, the accomplishments of the MDGs have neither been uniform across all the goals nor across different parts of the globe. Regional variation in the level of achievement in the case of goals like infant mortality rate, maternal mortality rate, and eradication of malnutrition were low, indicating the poor status of these goals across the world.

On the other hand, high regional variations were noticed in the achievements of the goals, such as eradication of poverty, sanitation, maternal mortality rate, and infant mortality rate. There are also differences in the degree of consistency in implementing MDGs. For example, a very low level of consistency in the status of goals is noticed in countries of the Middle East, North Africa, and South Africa. The MDGs were targeted to be achieved by 2015, but the target status at the end of 2015 sowed the seed of thought among the policymakers to chalk out another set of goals to substantiate the earlier existing MDGs. Therefore, the 17 SDGs were reinvented out of the earlier eight MDGs.

The first framework of SDGs was chalked out at the Rio + 20 conferences (the United Nations Conference on Sustainable Development) in Rio de Janeiro in June 2012 to carry forward the impetus sowed by the MDGs in the pursuit of holistic global development. In July 2014, a document containing 17 goals was proposed by the UN General Assembly Open Working Group (OWG) for the General Assembly’s approval in September 2015. This document served as the first official draft of the SDGs. The global community adopted the 2030 agenda for sustainable development goals, including 17 SDGs and 169 targets, and 232 indicators, in September 2015. Subsequently, global SDGs commenced in 2016 and offer an evidence-based policy framework for sustainable development and planning till 2030. SDGs represent the commitment of member countries to achieve sustainability in various sectors (Allen et al., 2018 ). SDGs became an important component of the international development agenda for all countries and significantly influenced national planning post-2015. While the SDGs are universal, the countries have the liberty to determine their priorities and target and scale, and pace of transformation.

Assessing the process of SDGs interventions and their progress over different goals by member countries continues to be challenging. As discussed by Allen et al. ( 2018 ), one of the overarching challenges is dealing with each goal in isolation. That means the integration of sustainable economic, social, and environmental development objectives is yet to be achieved. The interactive relationship between seventeen SDGs and 169 targets compels the planning practices to see it holistically. In 2016, in the first voluntary national review of SDGs was fairly presented, the implication of the knowledge gap of a detailed view of interactive relations among targets and goals and the ability to maintain a holistic perspective has an impairing impact on the planning and implementation of SDGs (Weitz et al., 2018 ).

2.2 Similarity and difference between MDGs and SDGs

Since there was a disparity in the achievement status of the MDGs, efforts were taken to build the SDGs in a way so that a sustainable world could be made with equal value for environmental sustainability, social inclusion, and economic development. It is essential to understand that SDGs are not formulated to replace MDGs; instead, they are intended to substantiate them. Some of the goals under SDGs are improvisations over the previous MDGs, while some new goals have been incorporated into this new framework. Compared to MDGs, SDGs are considered a broader and more complex, integrated, and stimulating agenda for all countries to implement.

Relative to the formulation of MDGs, the process of devising the SDGs was more participatory, involving consultation with civil societies, the private sectors, and the governments of a fair number of countries. The result is a far more comprehensive list of goals, far greater targets (169), and several indicators (232), including many of those goals left out by MDGs. For example, it emphasizes climate change, the environment, peace and conflict, work, and the ocean. However, like MDGs, SDGs are criticized for not emphasizing human rights (Sengupta, 2018 ).

Given the comprehensiveness of SDGs, their assessment requires immense human and financial capital that seems too enthusiastic for developing countries with limited resources (Fenny, 2018 ). The MDGs requirements were more modest (21 targets and 60 indicators) in nature and also complex. While 93 SDGs indicators out of 232 are classified as Tier 1. Again, these indicators are more conceptual clarity, and more than 50% of the countries regularly comply with these data. The left-out indicators are defined as Tier 2 (72 indicators) with conceptual clarity, but data are unavailable. However, the data related to Tier 3 (62 indicators) are not regularly collected by countries because of the non-availability of a well-established methodology or available format of data collection.

The challenge of ensuring environmental sustainability is more marked since the new SDGs try to integrate sustainability issues with multidimensional poverty and inequality. While MDGs considered four different types of environmental targets, the number has expressively increased in the SDGs, containing seven environmental goals (i.e., goals No. 7, 9, 11, 12, 13, 14, and 15), monitored through 77 indicators. The goals are as follows: Goal 7: ensure access to affordable, reliable, sustainable, and modern energy for all, Goal 9: build resilient infrastructure, promote sustainable industrialization, and foster innovation, Goal 11: make cities inclusive, safe, resilient, and sustainable, Goal 12: ensure sustainable consumption and production patterns, Goal 13: take urgent action to combat climate change and its impacts, Goal 14: conserve and sustainably use the oceans, seas, and marine resources, and Goal 15: sustainably manage forests, combat desertification, halt and reverse land degradation, halt biodiversity loss.

2.3 Comparing with other policies around the world

The MDGs of the United Nations have been one of the most talked-about policy interventions globally in the last couple of decades. These policy targets have been formulated, critically reviewed, implemented, and analyzed for the achievements and impacts they have made on the globe. As global needs have changed with changing socio-political equations and dynamics, a strong need has been felt to shift the MDGs framework paradigm. Therefore, the MDGs have been revisited and reinvented to give rise to a set of SDGs. MDGs went on to a certain extent to achieve these goals. They paved the way for higher-order growth needs as SDGs, which aim to address more profound and complex health issues, including mental well-being, nutritional security, quality education, innovation, peace and justice, cultural vitality, equality, and environmental and social resilience, etc.

3 Methodology

The study’s methodology is based on a qualitative method focused on the content of papers related to SDGs, as proposed by Di Vaio et al. ( 2020 ). The methodology applied in this study has two stages. In the first stage, the data extraction method, which includes database selection, and the search strategy, were illustrated, and then the bibliometric analysis was done using bibliometric techniques with the help of appropriate software. These databases have been chosen because they notoriously publish theoretical or empirical studies on topics related to SDGs (Alvino et al., 2021 ). The details of the workflow are presented in Figure 1 .

Research flow, methodology, and tools

3.1 Database selection and search strategy

To collect data for this review, we must select one of the citation databases that index all literature related to SDGs. The Scopus and Web of Science are commonly used databases by the research community for literature searches and bibliometric analyses (Mishra et al., 2020 , 2021 ; Sudarsana & Baba, 2019 ). In this study, the Web of Science (WoS) core collection citation database was used as the primary source of data collection for processing and analysis. This study used the year 2015 because SDGs were adopted on September 2015, and further, we have extended it till October 2022, which is the most recent data available. This database is considered the most well-known citation database, and bibliographical data are stored in a well-structured manner (D’Amore et al., 2022 ; Harzing & Alakangas, 2016 ; Vaio et al., 2021 ), which sufficiently validates the use of the WoS database in the existing study. The effectiveness of the analysis results mainly depends on the search strategy technique. Thus, an effective search strategy was constructed according to the database characteristics after selecting the database to be used.

The following advance query was used: TS = (“sustainable development goals” OR “SDGS” OR “millennium development goals”), [refined by]: DOCUMENT TYPES: (ARTICLE OR REVIEWS) AND [excluding] PUBLICATION YEARS: (2023), Timespan: 2015–2022. Indexes: SCI-EXPANDED, SSCI, CPCI-S, A&HCI, CPCI-SSH, BKCI-S, BKCI-SSH, ESCI, IC, CCR-EXPANDED. This query retrieved 12,176 publications (articles and reviews) from 2015 to 2022 on October 2 (2022). The above time period was fixed because SDGs were adopted on September 2015. The identified 12,176 literature records, the citation information, bibliographic information, abstract and keywords, and other information were exported to.txt format files. Then, the dataset in a Bibliometrix package file was transferred from Rstudio software for performing bibliometric analysis and thematic trend analysis (Aria & Cuccurullo, 2017 ). Next, it was transferred to SciMat software for extracting strategic diagrams and thematic evolution maps, after which a specific analysis was performed (Cobo et al., 2012 ).

3.2 Bibliometric analysis

Bibliometrics uses mathematical and statistical methods to analyze literature quantitatively regarding scientific publications’ production, growth, maturation, and consumption. As a result, it has been widely used as an essential tool for assessing and analyzing development status in the research field in terms of the researcher’s production (Ellegaard & Wallin, 2015 ), the collaboration between institutions (Skute et al., 2019 ), the impact of state scientific investment in national R&D productivity (Fabregat-Aibar et al., 2019 ), and the academic quality (van Raan, 1999 ), among other possibilities (Glänzel, 2012 ). The bibliometrics analysis consists of performance analysis and science mapping analysis. Performance analysis is based on bibliometric indicators that measure the production of individual actors (author, intuition, county, and journal) and the impact achieved through publications and citation data. Science mapping analysis provides the topological and temporal representation of a particular research field’s cognitive and social structure (Cobo et al., 2012 ).

A wide variety of bibliometrics tools are available for bibliometric analysis; the mainstream bibliometrics analysis tools include Biblioshiny (R Package), VOSviewer, BibExcel, SciMAT, and CiteSpace (Aria & Cuccurullo, 2017 ; Cobo et al., 2011 , 2012 ; Moral-Muñoz et al., 2020 ). Each tool has different mapping principles, algorithms, visual outputs, and strengths and weaknesses. However, a single tool is not suitable for all types of analysis (Cobo et al., 2011 ). Following Cobo’s review, CiteSpace, Biblioshiny (R Package), and SciMAT were finally selected for this study. The details of each tool as given below.

3.2.1 Biblioshiny (R-tool software)

Biblioshiny is an open-source application that has the potential to import data from different sources (Scopus, Web of Science, among others) and provides various types of bibliometrics analysis (Aria & Cuccurullo, 2017 ). In this study, we have utilized several modules offered by the Bibliometrix application. These modules are primary information, annual scientific production, citation, more relevant sources, more relevant author and affiliation, country, and word cloud.

3.2.2 VOSviewer

VOSviewer is another bibliometric tool widely used for creating bibliometric networks of different actors (e.g., authors and organizations) using various network analysis methods such as co-author, co-citation, term co-occurrence, and bibliographic coupling (Van Eck & Waltman, 2009 ). In this study, we used the term co-occurrence analysis to identify major themes of a research domain. The maps obtained from this software include nodes and edges, indicating the keywords (nodes) and their relationship (edges). Interested readers are referred to the VOSviewer manual for more details about these different analyses ( https://www.vosviewer.com/publications ).

3.2.3 CiteSpace

CiteSpace is also an open-source package based on the Java platform developed by Drexel University (Chen, 2006 ). Indeed, its prime aim is to facilitate the dynamic tracking of emerging trends in the knowledge domain, focusing on identifying key points and turning points in developing knowledge in a field. In the present study, this is mainly applied to the burst detection of analysis function to find hotspots in the research field.

3.2.4 SciMAT

SciMAT is an open-source software tool developed to perform a bibliometrics analysis under a longitudinal framework and provides support to different types of analysis. In this study, we utilized the term co-occurrence module to identify closely linked concepts and explore the thematic evolution of the nexus during the last six years. The information related to the procedure and implementation of this software is presented in (Cobo et al., 2012 ). This software offers two types of maps: strategic diagrams and thematic evolution maps.

3.3 Strategic diagrams

Strategic diagrams (Figure 2 ) reflect the research themes and research keywords based on two indicators of cluster centrality (indicating the strength of interdisciplinary links and the centrality of the theme in research development) and density (indicating the degree of strength)) (Cobo et al., 2012 ). The first diagram (a) is a two-dimensions map divided into four quadrants based on their relevance. The themes are represented as a circle, and their size is proportional to publications associated with the theme. The second is a diagram where the components and their relationship are represented. The four areas, according to their relevance, are Motor themes (Q1: Upper-right quadrant), Highly developed and isolated themes (Q2: Upper-left quadrant), Emerging or declining themes (Q3: Lower-left quadrant), and Basic and transversal themes (Q4: Lower-right quadrant). Motor themes are well-developed topics and the main field of research. Highly developed and isolated themes are topics at a reasonable level in terms of density but are not very central and considered marginal. Emerging or declining is an undeveloped and marginal issue. At the same time, basic and transverse are central issues with a lack of proper density.

Structure of the strategic diagram

4 Result and analysis

To conduct a bibliometric analysis of SDGs related to data retrieved from the WoS in terms of publication, citations, and impact, the following analysis types were considered: Information about data, trends, and characteristics of research publication, most preferred and productive journals, productive author, journal and country, most cited documents, keyword analysis, and thematic evaluation. The detailed results are as follows.

4.1 Information about data

Table 1 provides information on articles retrieved from the Web of Science published from 2015 to 2022. It was found that 12,176 publications published in 1956 journals use 14,120 keywords plus and 26,262 author’s keywords. The number of authors contributing to this domain is 45345, a very high number. There is a high collaboration in SDGs literature, as shown by the collaboration index. The average citation per article is 15.06, and the articles per author ratio are 0.269, which means, on average, almost four authors have written one document.

4.2 Literature trend analysis and characteristics of research publication

In 2015, the SDGs were set up by the United Nations General Assembly (UN-GA) to work toward a sustainable society in which economic prosperity is achieved, and social and environmental concerns are met. Those goals are intended to be completed by 2030 and are included in an UN-GA Resolution called the 2030 Agenda or Agenda 2030. Since then, the interest of the academic community and specialists in the issue of sustainable development, implementations of SDGs at national, regional, and global levels, and informality have materialized in papers, reports, and various other publications.

Table 2 provides the year-wise growth rate of publications and their citations concerning SDGs. A total of 12176 research articles related to SDGs were published from 2015 to 2022, cited 189960 times in total, with an average citation rate per article of 15.06 during the period. In 2015, only 298 articles were published, and these articles received 8725 citations. Since then, it can be seen from Table 2 that the number of published journal articles about SDGs has an obviously and continuously increased trend. This trend shows that progressively more attention has been paid to this domain in recent years. Among the 12176 articles, about 51% were published in the last two years, while nearly 26% were published in 2022. The annual distribution of citation count has shown a slight fluctuation trend. The year 2022 had the highest number of articles, at 3249, and these articles have received 6487 citations. The highest number of citations (34736) was acquired in 2018.

4.3 Most preferred and productive journals for publications

Academic journals are considered the prime medium for disseminating scientific output and are worth researching in any scientific domain (Wuni et al., 2019 ). The most preferred and prominent journals that publish articles in the SDGs domain have been explored. A total number of 3732 articles regarding SDGs were published in these top 15 journals between 2015 and 2022. Table 3 gives the leading journals, each with the number of publications, citations, and the Impact Factor (IF). The leading journals preferred by the researcher are sustainability, Switzerland, with 1730 (12%) publications, 13545 citations, and 3.88 impact factor, followed by Journal of Cleaner Production, UK, with 371 (2.9%) publications, 8574 citations, and 11.07 IF, and Science of the Total Environment, Netherlands with 191 (1.5%) publications, 5655 citations, and 10.75 IF. The table shows that the Journal of Cleaner Production has the highest h-index of 51, the Sustainability has an h-index of 43, and the journal Science of the Total Environment has an h-index of 34. The table also shows that although sustainability has 1359 more publications (total of 1730) than the Journal of Cleaner Production (total of 371 publications), the Journal of Cleaner Production’s impact factor is almost three times higher than Sustainability. A very interesting feature is that in SDGs, the International Journal of Environmental Research and Public Health is the 6 th most productive journal having a total number of productions of 153, but its h-index is too low. It is also observed that Switzerland produces a greater number of journals in this field than other countries.

4.4 Highly productive countries and their collaborations

All corresponding authors and their affiliations in each article were considered in the analysis of the most predominant ones. The articles originate from 137 countries/regions. Figure 3 shows the geographical distribution of production for the countries/regions. Table 4 presents the statistics of the top 10 countries/regions based on the total publications in this field. The USA is the most prolific country with 1313 publications (10.7%), followed by China and the UK with 1310 (10.7%) and 1171 (9.6%) publications each. The three countries account for 31% of the total publications, indicating their prominent position in the research field. Furthermore, the USA’s publications have received the highest number of citations (34013) compared to others, showing that it dominates the publication count and has a solid academic influence in the research field.

Geographical distribution of production in the WoS

Concerning collaboration, the UK and the USA again topped for both Single Country Publications (SCP) and Multiple Country Publication (MCP) (Table 4 ). The ratio of MCP to total publications for most of the Top 10 countries was 22–62%. Still, it was about 50% for the UK, reflecting that each country exhibited a strong preference for international cooperation regarding the SDGs study. Table 4 also includes the 2022 SDGs Index Rank of each country.

4.5 Highly productive institutions/organizations

Table 5 provides the top 10 most productive institutions/organizations in SDGs research in terms of publications. The first-ranked institution is the University of Oxford in the UK, which has published 307 articles in this research field, and most of the articles related to maternal mortality (Kassebaum et al., 2016 ; GBD 2017 DALYs and HALE Collaborators, 2018 ) and maternal health (Patel et al., 2018 ) (see Table 6 ). The second and third were the London School of Hygiene & Tropical Medicine and the Tehran University of Medical Sciences, which published 259 and 244 articles, respectively. The majority of these ten institutions are from the UK (30%) and Australia (20%), and the rest are from Iran (10%), South Africa (10%), the USA (10%), China (10%) and Brazil (10%). It is important to note that there is no single institution from India, even though it was placed in the top ten countries list.

Regarding collaborations, the University of Oxford has strong collaborations with other institutions, especially the University of Cape Town, the London School of Hygiene & Tropical Medicine, King’s College London, Johns Hopkins University, and Stanford University, as depicted in Fig.  4 .

Collaboration network of top 50 organizations/instructions. The node represents a country; the size of a node is proportional to the number of appearances in the dataset. The line represents relationships between two organizations; the thickness of the line reflects the strength of the relationships

4.6 Analysis of the highly productive authors

In this section, the main authors who structured the field of research on the SDGs were identified. Figure 5 presents Lotka’s law distribution map. The ordinate indicates the proportion of authors of different kinds of literature to all authors, and the abscissa indicates the number of documents. The dotted line in the figure is a general image description of Lotka’s law. As shown in Figure 3 , 35605 researchers published an article, accounting for 78.5% of the total. The number of scholars who published more than six papers was 921, accounting for 0.2% of the total. It can be seen that the researchers in the SDGs research area and the number of documents are similar to the dotted line in the figure, which basically obeys the general law of Lotka’s law. This reflects that the number of authors who have written only one or two articles in the field of SDGs is relatively large. Most scholars in this field have just started in this area, and perhaps this is why research has not yet been in-depth.

The frequency distribution of scientific productivity

Table 7 provides the top 10 most prolific authors by the number of articles from 2015 to 2022, which account for 2.3% of overall articles published from 2015 to 2022. The author with the largest number of papers published and the highest h-index is Zulfiqar Ahmad Bhutta. He has published papers in the field of SDGs since 2015. His main research direction is to evaluate health-related SDGs, as presented in Table 8 . One of Zulfiqar Ahmad Bhutta’s papers is ‘Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015’, published in Lancet in 2016, has the highest number of citations ( TC = 1196). Regarding citations, Christopher J. L. Murray has achieved the highest citations compared with other authors. Andrew Adewale Alola, Avik Sinha, and Festus Victor Bekun are published on the same topic, i.e., renewable energy. From the geographical perspective, the core authors from the USA account for 30% of the top 10 core authors, which means that the USA currently has stronger research strength in the SDGs research field than other countries.

4.7 Keyword analysis

Researchers are using keywords to provide a concise description of the research content. As a result, it is one way to identify hot topics and themes of a research domain based on keyword analysis (Zhang et al., 2016 ). The selected documents in the field of SDGs were further examined based on highly occurred keywords via bibliometric software. The Web of Science database offers two types of keywords- author’s keywords and keywords plus. Keywords plus are words or phrases that frequently appear in the titles of an article’s references but do not appear in the title of the article itself (Garfield, 1990 ). The results of this analysis are presented in the form of word clouds. Word cloud analyses of the 30 most frequent keywords in the publication collection are shown in Figure 6 , where a higher occurrence results in a larger font size. The published research trends focused on common terms such as management, impact, health, policy, framework, and governance

Word clouds of the 30 most frequent keywords plus

A deeper analysis was conducted on the co-occurrence of 3739 authors’ keywords which appeared at least ten times in the collection (Figure 7 ). Each node represents a keyword (or topic). The thickness of lines between two nodes represents the strength of the relationship between them, determined by the frequency they appeared together in published papers. Some core research areas were highlighted: sustainable development goals, climate change, agenda 2030, circular economy, Africa, poverty, global health, governance, food security, sub-Saharan Africa, millennium development goals, universal health coverage, indicators, gender, and inequality. The 288 most frequent authors’ keywords were classified into 11 different clusters coded in different colors. Figures 7 and 8 depict several keywords that frequently appeared with sustainable development goal keywords together in published papers.

The co-occurrence of 739 authors’ keywords (at least ten times). The thickness of lines represents the strength of the relationship between keywords, determined by the frequency they appeared together in published papers

The keywords that frequently appeared with the sustainable-development-goals keyword in published papers

4.8 Keyword burst analysis

We carried out keyword burst detection to identify research hotspots of the SDGs domain using CiteSpace (Bommer et al., 2018 ). Table 9 shows 39 keywords with bursts of at least one year. In chronological order, the burst keywords in the SDGs field have changed over the years from 2015 to 2022. The keywords with a burst period greater than four years include global burden (2015–2020), human rights (2015–2020), child mortality (2015–2019), disease (2015–2019), aid (2015–2019), and maternal mortality (2015–2019), which direct that these topics got more attention and are more influential than other keywords. Thus, they became research hotspots of the SDGs domain in corresponding periods. Besides, the perspective and future beginning to burst in 2019 continue to the present, which is currently research hotspots. In connection to burst strength, the millennium development goal (53.01) is the strongest burst, followed by care (24.26), morality (23.75), health (18.33), developing country (17.92), and intervention (16.23), which are research hotspots in their corresponding periods. We argue that the SDGs field’s research hotspots are currently the perspective and future of SDGs-related research.

4.9 Research topics and thematic evolution

SciMAT software offers two types of maps: strategic diagrams and thematic evolution maps. A strategic diagram has been widely used to analyze the trend of change in topics in terms of density and centrality. In contrast, a thematic evolution map has been used to analyze the evolution of topics. To trace the most highlighted themes of the SDGs domain, the study period was divided into two annual intervals (2015–2018 and 2019–2022). Thematic maps of authors’ keywords for each interval and the whole period were generated using SciMAT software from the co-word analysis. In the thematic map (strategic diagram), the circle size is proportional to the number of documents associated with each research theme. An analysis of the results obtained for each period is shown below.

4.9.1 First period (2015–2018)

According to the strategic diagram (Figure 9 ), four research themes can be observed in the 2434 papers selected in this period contributed by 11974 authors: Climate-Change, Millennium-Development-Goals, Middle-Income-Country, Model and Determinants. Of these, two were considered motor themes (Climate-Change and Millennium-Development-Goals), one a highly developed and isolated theme (Middle-Income-Country), one emerging or declining (Model), and finally, one other was considered basic (Determinants). The performance measures for each theme, as shown in Table 10 , complement the information provided by the diagram. According to Table 10 , the following two relevant themes are highlighted: Climate-Change and Millennium-Development-Goals. These themes attain a high impact rate in comparison with the remaining themes.

Strategic diagram for the 2015–2018 period

The motor theme Climate-Change obtained the highest citation count in this period and recorded the highest h-index score. It is related to general topics of SDGs (Climate Action). Mainly, it is focused on how it affects every country on every count due to the rise in average surface temperatures on Earth. It has become a hot research field today since it disrupts national economies and affects lives, costing people, communities, and countries dearly today and even more tomorrow. Figure 10 a depicts a cluster network of Climate-Change. Topics Such as progress on health and climate change (Watts et al., 2017 ), approaches to managing social and environmental issues in the tropics (Reed, 2016 ), soil health and carbon management (Lal, 2016 ), importance of soil and its awareness (Keesstra et al., 2016 ), land degradation Neutrality (Cowie et al., 2018 ), nature-based solutions in land management for enhancing ecosystem services (Keesstra et al., 2018 ), national land system sustainability emergency via sustainability programs (Bryan et al., 2018 ), Strengthening protected areas for biodiversity and ecosystem services (Xu et al., 2017 ), Smart Sustainable Cities (Bibri & Krogstie, 2017 ), future economic consequences of diabetes and Kidney Disease (Luyckx et al., 2018 ), maternal mortality (GBD 2017 DALYs and HALE Collaborators, 2018 ; Kassebaum et al., 2016 ), Sustainable Wellbeing (Costanza et al., 2016 ), social inclusiveness (Gupta & Vegelin, 2016 ), policy for managing the food, water, and energy (Rasul, 2016 ), approaches for Global Sustainable Development (Liu et al., 2018 ), implementation of SDGs (Stafford-Smith et al., 2017 ), sustainable development indicators (Hak et al., 2016 ), transformative innovation policy (Schot & Steinmueller, 2018 ), off-grid solar energy (Nerini et al., 2018 ), electricity access (Alstone et al., 2015 ) are disused in this cluster.

Thematic network of ( a ) climate-change and ( b ) millennium-development-goals

Millennium-Development-Goals is one of the motor themes and is the second most crucial theme of this period. This theme comprises research conducted on different aspects of Nations Millennium Development Goals (Figure 10 b), especially healthcare access and quality (Abbott et al., 2017 ; Fullman et al., 2018 ; Milat et al., 2015 ), health policy (Buse & Hawkes, 2015 ), Children mortality (Ebener et al., 2015 ; Wolf et al., 2018 ), global rules for the private sector (Scheyvens et al., 2016 ), drinking water (Adams, 2018 ; Martinez-Santos, 2017 ), poverty (Asadullah & Savoia, 2018 ), MDGs progress (Gaffey et al., 2015 ; Mohammadi et al., 2017 ; Moucheraud et al., 2016 ). It mainly focuses on the global development agenda transitions from the MDGs to the SDGs.

The basic and transversal theme determinants are composed of a few publications, but they received the best impact (h-index) in this period. It represents the research conducted (Figure 11 a) on different aspects of Determinants, such as women, infants, and inequality. It mainly focuses on delivery care services (Pulok et al., 2016 ), Intimate partner violence (Mohammed et al., 2017 ), maternal health care services (Ganle, 2016 ; Mehata et al., 2017 ), and mortality (Ahmed et al., 2016 ; Dendup et al., 2018 ). Middle-Income-Countries is a highly developed and isolated theme that represents research conducted on Middle-Income-Countries (Figure 11 b) with living conditions of poor rural households, Early Childhood Development (Black et al., 2015 , 2017 ; Richter et al., 2017 ), Equity in vaccination coverage nutrition (Arsenault et al., 2017 ), and child marriage (Kalamar et al., 2016 ).

Thematic networks of ( a ) determinants and ( b ) middle-income-countries

4.9.2 Second period (2019–2022)

In this period, a total of 9742 publications were contributed by 36816 authors, distributed in eight SDGs themes (Figure 12 ), with five major research themes (Motor themes plus basic theme): Sustainable-Development-Goals, CO 2 -Emissions, Areas, Emissions, and Strategies. Regarding the performance measures shown in Table 11 , five themes stand out due to the citations achieved and scored h-index over 8: Sustainable-Development-Goals, CO 2 -Emissions, Strategies, Children, and Areas. However, the motor themes Sustainable-Development-Goals and CO 2 -Emissions are the most inflectional for structuring the SDGs research field.

Strategic diagram for the 2019–2021 period

Sustainable-Development was consolidated as a motor theme in this period (Figure 12 ). Moreover, it is the theme with the highest number of documents and achieves the highest number of citations count and h-index score. It obtains the highest density score, which means that its research has great internal cohesion. SDGs rise from the evolution of the themes of Climate change, Model, and Millennium-Development-Goal of the previous period. The research (Figure 13 a) on this theme relates to 17 goals.

Thematic network of ( a ) SDGs, ( b ) CO 2 -Emissions, ( c ) strategies, and ( d ) children

To further show more information from this cluster, some most cited papers of this cluster are also investigated. To name a few, Salvia et al. ( 2019 ) examined the difficulties and potentials in pursuing and implementing the SDGs, especially among developing nations. Schroeder et al. ( 2019 ) studied the contribution of circular economy practices such as repair, remanufacturing, and recycling to SDGs. More efforts in skill training, technology development, and multistakeholder partnerships are required to make advanced Circular Economy practices. Hughes et al. ( 2019 ) discussed Blockchain research, practice, and its potential in the future in various fields and factors. Leal et al. ( 2019 ) noted that the implementation of the SDGs at universities is still in the initial stage. They provided an overview of the level of emphasis placed on the SDGs by Higher Education Institutions. Nerini et al. ( 2019 ) explored the connection of climate change action with other SDGs. They suggested that climate change action can strengthen all 17 SDGs while undermining efforts to achieve 12. Governance processes and structures must be better connected to maximize the legitimacy and effectiveness of action in both domains. Huovila et al. ( 2019 ) reported the standardized indicators for smart, sustainable cities that balance sustainability and smartness. Fonseca et al. ( 2020 ) mapped the relationship between SDGs. They found no significant correlation with other SDGs, epically Climate action and partnerships for the goals, which provides scope for future research.

The theme of CO 2 emissions emerged during this period and can be considered one of the main topics of SDGs, as evidenced by its high h-index score and the considerable number of citations. CO 2 emissions have evolved from the themes of Determinants and Millennium Development Goals in the previous period. Across the globe, countries are consistently facing one of the greatest challenges of the 21st century: saving and sustaining the environment. The most developed countries are often the largest emitters of carbon dioxide (CO 2 ), resulting in an urgent policy drive toward environmental sustainability.

The research on this theme relates to ecological footprint, greenhouse gas emissions, natural resources, pollution, technological innovation, and supply chain (Figure 13 b). To further show more information from this cluster, some most cited papers of this cluster are also investigated. To name a few, following the SDG 17 of improving global partnerships for sustainable development, Shahbaz et al. ( 2019 ) explored the association between foreign direct investment and carbon emissions in the Middle East and North African region in the 1990–2015 period. They found that there is a need to develop comprehensive trade and energy policies by targeting cleaner production practices for a sustainable environment and fulfilling the objectives of SDGs. Sarkodie and Strezov ( 2019 ) examined the effect of foreign direct investment inflows, economic development, and energy consumption on disaggregate greenhouse gas emissions. Alola et al. ( 2019 ) discussed the role of trade policy, energy consumption, economic growth, and fertility rate on environmental pollution in 16 European member countries. Saint Akadiri et al. ( 2019 ) reported that by using renewable energy, carbon emission mitigation is very much achievable in the EU-28 countries and should also be adopted by all countries as an effective global policy to achieve SDGs by the year 2030.

The basic theme of strategies appears in this period as one of the emerging research themes. It mainly focuses (Figure 13 c) on 17 SDGs strategies for promoting sustainable practices and solutions that address our society’s main issues. To further show more information from this cluster, some most cited papers of this cluster are also investigated. To name a few, Chen et al. ( 2020 ) proposed strategies for green chemistry principles implementation from the aspects of governance, industry, and education. Dantas et al. ( 2021 ) reviewed the contribution of the circular economy and industry 4.0 toward achieving SDGs.

The highly developed and isolated motor theme of children appears in this period as a bifurcation of the MDGs theme from the previous period. The research (Figure 13 d) is related to disease, risk, interventions, childhood development, and disability. To further present information from this cluster, we investigated some of the most cited papers. The bold new target of safely managed water, sanitation, and hygiene for all by 2030 warrants the attention of researchers, policymakers, and practitioners. Cumming et al. ( 2019 ) reported that major water, sanitation, and hygiene interventions did not affect childhood stunting, and mixed effects on childhood diarrhea resulted from five consensus points. Chen et al. ( 2019 ) studied how dietary changes can significantly contribute to achieving the 2030 national SDGs. Early childhood development is key to achieving SDGs and can be negatively influenced by many adversities, including home violence, neglect, abuse, and parallel health. There were consistent and strongly negative relationships between all measures of childhood adversity and all five childhood growth and development outcome measures at the age of 18 months (Bhopal et al., 2019 ). Bhutta et al. ( 2020 ) reported how countries could reduce child stunting, with or without closing geographical, economic, and other population inequalities. Josenhans et al. ( 2020 ) studied the sexual exploitation of boys. Hall et al. ( 2019 ) suggested that research should focus on interventions to alleviate poverty-related stress to achieve the United Nations SDGs. Toska et al. ( 2020 ) reported that children of an adolescent mother with AIDS show more health problems than others. This should be controlled in a country with a high number of adolescents.

4.9.3 The most cited publications

The contents of the most cited papers are considered to be of great importance in the academic world, as they reflect the impact of research in a particular field. By analyzing the most cited papers, it is possible to understand the current state of knowledge in a certain area and identify gaps that need to be filled in future research. In this context, it is also possible to understand the implications for future research based on the contents of the most cited papers (Gaffey et al., 2015 ). When it comes to the SDGs, the most cited papers are a reflection of the current state of research in the field and provide important insights into the areas that need further investigation. Table 12 displays the most frequently cited papers according to the total number of citations received. It is noteworthy that the papers authored by Liu et al. ( 2016 ), Pecl et al. ( 2017 ), Zhang et al. ( 2015 ), Black et al. ( 2017 ) Kruk et al. ( 2018 ), Patel et al. ( 2018 ), Black ( 2015 ), and GBD 2017 DALYs and HALE Collaborators ( 2018 ), Kassebaum et al. ( 2016 ) occupy the top 10 spots in the ranking. The majority of these papers focus on health, climate change, nitrogen, and agriculture.

The selected articles address various topics related to the SDGs established by the United Nations. The most cited papers on the SDGs reflect this need, as they often involve the analysis of inequalities and the identification of ways to ensure that everyone has access to the resources and opportunities they need to thrive (Zhu et al., 2021 ). Among the top 10 most cited articles, we have selected the six most highly cited ones for special attention. Liu et al. ( 2016 ) study investigated the causes of infant mortality at the global, regional, and national levels, offering important implications for achieving SDGs related to health. Meanwhile, Pecl et al. ( 2017 ) discussed the effects of climate change on biodiversity, highlighting the importance of preserving ecosystems for human well-being. Zhang et al. ( 2015 ) analyzed nitrogen management as a form of sustainable development, given its importance for agriculture and pollution reduction. On the other hand, Black et al. ( 2017 ) conducted a study on early childhood development, emphasizing the importance of this period for the formation of healthy and productive adults. Kruk et al. ( 2018 ) addressed the need for high-quality health systems to achieve SDGs related to health, highlighting the importance of innovation and political commitment. Finally, Patel et al. ( 2018 ) work explored the relationship between mental health and sustainable development, emphasizing the need for public policies that address this issue in an integrated manner. Together, these articles highlight the complexity and interdependence of the SDGs, as well as the need for an integrated approach to sustainable development. In addition, the studies emphasize the importance of research and innovation in addressing global challenges and achieving the goals established by the United Nations (Table 12 ).

In conclusion, the contents of the most cited papers on the SDGs provide important insights into the current state of research in the field and the implications for future research. The need for interdisciplinary approaches, practical solutions, a focus on equity and social justice, and innovation and technological solutions are some of the key implications that can be derived from the analysis of the most cited papers. By considering these implications, future research can contribute to the achievement of the SDGs and ensure that everyone has access to a high quality of life and prosperity.

5 Discussion

To assess the distribution of SDGs in literature review publications over the years, the articles were individually analyzed and classified. It should be noted that the publications could be included in multiple categories. As a result, the majority of documents were categorized under general aspects of sustainability, including environmental sciences, environmental studies, and green science and sustainable technology.

The results of the bibliometric analysis indicate that research and development on the SDGs are more concentrated in developed countries than in developing and underdeveloped nations. This trend highlights the need for greater investment and engagement from developing countries in addressing the global sustainability challenges posed by the SDGs. This study is the first to conduct a bibliometric analysis of the SDGs and examine the progress, challenges, and opportunities during the period from 2015 to 2022. The results of this study reveal differences in the utilization of the SDGs theme.

Based on the analysis and results obtained from this paper, we have observed a huge disparity in participation in the development process through scientific contributions. The current development trajectories also follow the same path, with countries and regions with more resources contributing more than those with fewer resources. According to Sweileh ( 2020 ), the highest volumes of research are found in SDGs 1, 3, 11, 12, and 15. Similar results were obtained by Sianes et al. ( 2022 ), who used bibliometric methodologies to evaluate the impacts of SDGs on the academic agenda, while Salvia et al. ( 2019 ) highlighted that SDGs 11, 12, 13, and 15 were high research themes, and SDGs 8 and 14 were least researched.

According to the results obtained, articles related to SDGs on hunger, energy, and peace were only published starting in 2017, while articles related to more applied and diverse SDGs research were found starting in 2018, as also reported by Yamaguchi et al. ( 2023 ). Regarding the studies published starting in 2018, those of an environmental nature, i.e., related to nature and technology areas such as water and sanitation, industry, innovation and infrastructure, food and agriculture, business and management, development studies, and urban studies, climate change, and ecosystems, can be highlighted. These results show progress and a trend in SDGs studies, pointing to a growth in environmental research. Similar findings have been reported in previous studies by Sweileh ( 2020 ), Londono-Pineda and Cano ( 2022 ), and Yamaguchi et al. ( 2023 ). However, Yamaguchi et al. ( 2023 ) focused on the most cited articles, and Sweileh ( 2020 ) only analyzed articles with the phrase “sustainable development goal”, while this study has a broader scope. In addition, Londono-Pineda and Cano ( 2022 ) analyzed the main methodologies used for evaluating SDGs through bibliometric analysis. Scopus and Web of Science were identified by El Mohadab et al. ( 2020 ) as the primary databases for bibliometric analysis.

This study demonstrates that countries with the most institutional affiliations from authors also have corresponding funding to support research in diverse universities and institutions. Most of the publications found were articles published in highly indexed journals. However, the concentration of cutting-edge knowledge in specific countries, institutions, and authors is a concern. According to Londono-Pineda and Cano ( 2022 ), co-authorship can be an efficient strategy for institutions in developing countries to generate high-impact publications on issues related to SDG assessments. Sweileh ( 2020 ) notes that collaboration related to SDGs in America and Europe is strong, but collaboration in African and Asian countries is poor. To promote a more comprehensive assessment of the SDGs, it is necessary to transcend independent SDG assessments and recognize the thresholds of each dimension, allowing for the consideration of trade-offs among the SDGs. Didegah and Thelwall ( 2013 ) suggest that inviting and collaborating with researchers from third-world countries would help publish high-impact factor journals and attract funds for research proposals related to SDGs.

It can be inferred that there is a regionalization of research interest related to various goals and targets of SDGs. The developed world (USA, Canada, Australia, and Europe) is more interested in SDG 4 (Quality Education), SDG 11 (Sustainable Cities and Communities), SDG 12 (Responsible Consumption and Production), and SDG 13 (Climate Action) but the African world more interested in SDG 13 (Climate Action), SDG 1 (No Poverty), SDG 2 (Zero Hunger), SDG 5 (Gender Equality), SDG 6 (Clean Water and Sanitation), SDG 15 (Life on Land) (Körfgen et al., 2018 ; Salvia et al., 2019 ). Thus, it is observed that most of the research on SDGs is related to social problems like poverty, hunger, education, conflict, gender, and peace. However, global warming and climate change are also global environmental threats to the life-supporting system on earth (Zhenmin & Espinosa, 2019 ). These results were expected, as environmental sciences are an interdisciplinary academic field that integrates physics, biology, and geography and studies the environment and the solution to environmental problems, covering a wide range of topics (Yamaguchi et al., 2023 ).

The top 10 countries, institutions, and authors publishing on SDGs represent the world’s developed economies. However, most research carried out was related to social problems (poverty, hunger, education, gender, and peace) in the underdeveloped world (Yamaguchi et al., 2023 ). The lack of participation or opportunity to contribute to the global goals research would make countries remain unaware of the happenings around the world, thus making SDGs 2030 unattainable. One of the primary goals of the SDGs is to demonstrate the world as a whole rather than just a few countries. However, the patterns of research and development highlight that research interest is regionalized according to the scale of the problem in their area (Sweileh, 2020 ).

Climate, ecosystems, health systems, and inequality have been major research areas in the past, contributing to SDGs 13, 14, 15, 3, and 10 (Yamaguchi et al., 2023 ). The highly productive countries contributing to SDGs research themes include the USA, UK, Australia, Germany, China, Switzerland, Spain, India, and South Africa. European countries, including Sweden, Austria, France, Finland, and Denmark, are top of the list of high research citations. The top 10 productive institutions/organizations in SDGs research are based on the UK, USA, Australia, Switzerland, and South Africa. The top 10 prolific authors in SDGs come from the USA, Switzerland, the UK, Canada, and Iran. The gap is evident in the goals covered, countries’ participation, institutions, and the share of authors from particular regions. Developed countries research more on SDGs than developing and underdeveloped countries, where most of the world population lives (Salvia et al., 2019 ; Sweileh, 2020 ). The voices of these people are silent in research publications. Their narratives fail to find a place in our research documents.

The study makes a valuable contribution to the literature as the first review to focus on the most frequently evaluated SDGs, and one of the few studies, along with Sweileh ( 2020 ), Londono-Pineda and Cano ( 2022 ), and Yamaguchi et al. ( 2023 ), to identify the recurrent types of assessments related to the 2030 Agenda for SDGs. The findings are in line with the need for research that promotes more comprehensive assessments of the agenda, as highlighted by Ahner-Mchaffie et al. ( 2018 ), El Mohadab et al. ( 2020 ), Meschede ( 2020 ) and Zhu et al. ( 2021 ). To achieve a more comprehensive assessment of the SDGs, it is essential to move beyond individual evaluations and instead recognize the interdependence and trade-offs among the various dimensions, which can be achieved by acknowledging the thresholds of each SDG.

6 Concluding remarks: the way forward

This study investigated the bibliometric analysis of trends, trajectories, and prospects of SDGs by the global community based on the Web of Science core database from 2015 to 2022. Even after seven years of implementation of SDGs, the agenda of 2030 are having still complex interlink age between goals and also overambitious targets. The result of the study revealed an increasing trend of publication during the studied period, but goals are not highlighted in a consolidated manner.

The top five countries with the highest number of publications and citations are from the developed world (USA, China, UK, Australia, and Spain), whereas the least contributing countries are from the developing world. Again, the top 5 productive authors are also from the developed world. It has been highlighted that good health and well-being are the thematic areas of research for the underdeveloped world, and climate action is a focus area of research for high-income countries. Thus, it shows that the goals of SDGs are not consolidated but divisive in nature, and the reason may be practical challenges surrounding implementing SDGs. Again, keyword analysis emphasized about core research areas: ‘sustainable development goals, climate change, agenda 2030, circular economy, Africa, poverty, global health, governance, food security, sub-Saharan Africa, millennium development goals, universal health coverage, indicators, gender, and inequality’; and these words are primary needs of human life.

The goals related to the basic needs of human being to just have human life should not treat as unrealistic aspirations and call for prioritizing SDGs. Therefore, education, funding, and innovation of green technology are critical elements to achieve the target of SDGs in 2030. Again, there is a need for a periodical investigation of SDGs-related published documents to get an insight into the gap in achieving the global 2030 agenda.

There is no specific theory regarding the SDGs. Instead, they represent a holistic approach to global development with 17 interconnected and interdependent goals. Achieving them requires collaboration from all sectors of society, emphasizing an integrated approach, technology, financial inclusion, and continuous monitoring. The importance of collaboration, an integrated approach, technology, financial inclusion, and continuous monitoring has been identified as the main theoretical findings of the SDGs. There are no specific practical discoveries related to the SDGs, as they represent a holistic approach to global development, with goals such as eradicating poverty, ensuring gender equality, protecting the environment, and promoting economic growth. Practical advancements related to the SDGs have been made in areas such as policy and decision-making, partnerships and collaboration, data and measurement, and financing. The implementation of SDGs has also demonstrated the importance of a multi-stakeholder approach, innovative financing mechanisms, and technology to achieve sustainable development.

Studies on the SDGs are highly complex due to the interdisciplinary nature and scope of the objectives and targets involved in this theme. Therefore, more research should be carried out to fill this gap by developing more effective and reliable methods to verify progress toward the SDGs. To achieve this, it is recommended to incorporate other bibliographic databases to further increase the reach of the bibliometric review of this topic, including non-Web of Science databases and the inclusion of grey literature such as reports from government and non-governmental agencies.

Data availability

The data that support the findings of this study are available upon reasonable request.

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Mishra, M., Desul, S., Santos, C.A.G. et al. A bibliometric analysis of sustainable development goals (SDGs): a review of progress, challenges, and opportunities. Environ Dev Sustain 26 , 11101–11143 (2024). https://doi.org/10.1007/s10668-023-03225-w

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Impact of the Sustainable Development Goals on the academic research agenda. A scientometric analysis

Roles Conceptualization, Investigation, Supervision, Validation, Writing – original draft, Writing – review & editing

Affiliation Research Institute on Policies for Social Transformation, Universidad Loyola Andalucía, Córdoba, Spain

Roles Conceptualization, Investigation, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing

Affiliation Public Policy Observatory, Universidad Autónoma de Chile, Santiago, Chile

* E-mail: [email protected]

Affiliation Department of Finance and Accounting, Universidad Loyola Andalucía, Córdoba, Spain

Roles Conceptualization, Investigation, Supervision, Writing – original draft, Writing – review & editing

Affiliation Social Matters Research Group, Universidad Loyola Andalucía, Córdoba, Spain

• Antonio Sianes, 
• Alejandro Vega-Muñoz, 
• Pilar Tirado-Valencia, 
• Antonio Ariza-Montes

• Published: March 17, 2022
• https://doi.org/10.1371/journal.pone.0265409
• Peer Review
• Reader Comments

Today, global challenges such as poverty, inequality, and sustainability are at the core of the academic debate. This centrality has only increased since the transition from the Millennium Development Goals (MDGs) to the Sustainable Development Goals (SDGs), whose scope is to shift the world on to a path of resilience focused on promoting sustainable development. The main purpose of this paper is to develop a critical yet comprehensive scientometric analysis of the global academic production on the SDGs, from its approval in 2015 to 2020, conducted using Web of Science (WoS) database. Despite it being a relatively short period of time, scholars have published more than five thousand research papers in the matter, mainly in the fields of green and sustainable sciences. The attained results show how prolific authors and schools of knowledge are emerging, as key topics such as climate change, health and the burden diseases, or the global governance of these issues. However, deeper analyses also show how research gaps exist, persist and, in some cases, are widening. Greater understanding of this body of research is needed, to further strengthen evidence-based policies able to support the implementation of the 2030 Agenda and the achievement of the SDGs.

Citation: Sianes A, Vega-Muñoz A, Tirado-Valencia P, Ariza-Montes A (2022) Impact of the Sustainable Development Goals on the academic research agenda. A scientometric analysis. PLoS ONE 17(3): e0265409. https://doi.org/10.1371/journal.pone.0265409

Editor: Stefano Ghinoi, University of Greenwich, UNITED KINGDOM

Received: September 10, 2021; Accepted: March 1, 2022; Published: March 17, 2022

Copyright: © 2022 Sianes et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the manuscript and its Supporting Information files.

Funding: The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: The authors have declared that no competing interests exist.

1. Introduction

1.1. from the millennium agenda to the 2030 agenda and the sustainable development goals (sdgs).

To track the origins of the 2030 Agenda for Sustainable Development, we must recall the Millennium Agenda, which was the first global plan focused on fighting poverty and its more extreme consequences [ 1 ]. Approved in 2000, its guiding principle was that northern countries should contribute to the development of southern states via Official Development Assistance (ODA) flows. The commitment was to reach 0.7% of donors’ gross domestic product [ 2 ] to reduce poverty by half by 2015. The relative failure to reach this goal and the consolidation of a discourse of segregation between northern and southern countries [ 3 ] opened the door to strong criticism of the Millennium Agenda. Therefore, as 2015 approached, there were widespread calls for a profound reformulation of the system [ 4 ].

The world in 2015 was very different from that in the early 2000s. Globalization had reached every corner of the world, generating development convergence between countries but increasing inequalities within countries [ 5 , 6 ]. Increasing interest in the environmental crisis and other global challenges, such as the relocation of work and migration flows, consolidated a new approach to development and the need of a more encompassed agenda [ 7 ]. This new agenda was conceived after an integrating process that involved representatives from governments, cooperation agencies, nongovernmental organisations, global business, and academia. The willingness of the 2030 Agenda to ‘leave no one behind’ relies on this unprecedented global commitment by the international community [ 8 ].

As a result of this process, in 2015, the United Nations General Assembly formally adopted the document “Transforming our World: the 2030 Agenda for Sustainable Development” [ 9 ], later known as the 2030 Agenda. This new global agenda is an all-comprising strategy that seeks to inform and orient public policies and private interventions in an extensive range of fields, from climate change to smart cities and from labour markets to birth mortality, among many others.

The declared scope of the Agenda is to shift the world on to a path of resilience focused on promoting sustainable development. To do so, the 2030 Agenda operates under the guidance of five principles, formally known as the ‘5 Ps’: people, planet, prosperity, peace, and partnerships [ 10 ]. With these pivotal concepts in mind, the Agenda has established a total of 17 Sustainable Development Goals (SDGs) and 169 specific targets to be pursued in a 15-year period, which reflects the scale and profound ambition of this new Agenda.

The SDGs do not only address what rich countries should do for the poor but rather what all countries should do together for the global well-being of this and future generations [ 4 ]. Thus, the SDGs cover a much broader range of issues than their predecessors, the Millennium Development Goals [ 11 ], and are intended to be universal on the guidance towards a new paradigm of sustainable development that the international community has been demanding since the 1992 Earth Summit [ 7 , 12 , 13 ].

Despite this potential, some criticise their vagueness, weakness, and unambitious character. Fukuda-Parr [ 14 ], see weaknesses on the simplicity of the SDGs, which can lead to a very narrow conception that reduces the integral concept of development. The issue of measurement is also problematic; for some researchers, the quantification of objectives not only reduces their complexity, but leads to them being carried out without considering the interdependencies between the objectives [ 12 , 13 ]. Other authors have identified difficulties associated with specifying some of the less visible, intangible aspects of their qualitative nature such as inclusive development and green growth [ 14 , 15 ]. Finally, Stafford-Smith et al. [ 16 ] state that their successful implementation also requires paying greater attention to the links across sectors, across societal actors and between and among low-, medium-, and high-income countries.

Despite these criticisms, the SDGs have undoubtedly become the framework for what the Brundtland report defined as our common future. Unlike conventional development agendas that focus on a restricted set of dimensions, the SDGs provide a holistic and multidimensional view of development [ 17 ]. In this line, Le Blanc [ 12 ] concludes that the SDGs constitute a system with a global perspective; because they consider the synergies and trade-offs between the different issues involved in sustainable development, and favour comprehensive thinking and policies.

1.2. Towards a categorization of the SDGs

There is an underlying lack of unanimity in the interpretation of the SDGs, which has given rise to alternative approaches that allow categorizing the issues involved in their achievement without losing sight of the integral vision of sustainable development [ 15 , 18 – 23 ]. However, such categorization of the SDGs makes it possible to approach them in a more holistic and integrated way, focusing on the issues that underlie sustainable development and on trying to elucidate their connections.

Among the many systematization proposals, and following the contributions of Hajer et al. [ 19 ], four connected perspectives can strengthen the universal relevance of the SDGs: a) ‘planetary boundaries’ that emphasize the urgency of addressing environmental concerns and calling on governments to take responsibility for global public goods; b) ‘The safe and just operating space’ to highlight the interconnectedness of social and environmental issues and their consequences for the redistribution of wealth and human well-being; c) ‘The energetic society’ that avoids the plundering of energy resources; and d) ‘green competition’ to stimulate innovation and new business practices that limit the consumption of resources.

Planetary boundaries demand international policies that coordinate efforts to avoid overexploitation of the planet [ 24 ]. Issues such as land degradation, deforestation, biodiversity loss and natural resource overexploitation exacerbate poverty and deepen inequalities [ 21 , 25 – 27 ]. These problems are further compounded by the increasing impacts of climate change with clear ramifications for natural systems and societies around the globe [ 21 , 28 ].

A safe and just operating space implies social inclusivity that ensures equity principles for sharing opportunities for development [ 15 , 29 ]. Furthermore, it requires providing equitable access to effective and high-quality preventive and curative care that reduces global health inequalities [ 30 , 31 ] and promotes human well-being. Studies such as that of Kruk et al. [ 32 ] analyse the reforms needed in health systems to reduce mortality and the systemic changes necessary for high-quality care.

An energetic society demands global, regional and local production and consumption patterns as demands for energy and natural resources continue to increase, providing challenges and opportunities for poverty reduction, economic development, sustainability and social cohesion [ 21 ].

Finally, green competition establishes limits to the consumption of resources, engaging both consumers and companies [ 22 ] and redefining the relationship between firms and their suppliers in the supply chain [ 33 ]. These limits must also be introduced into life in cities, fostering a new urban agenda [ 34 , 35 ]. Poor access to opportunities and services offered by urban centres (a function of distance, transport infrastructure and spatial distribution) is a major barrier to improved livelihoods and overall development [ 36 ].

The diversification of development issues has opened the door to a wide range of new realities that must be studied under the guiding principles of the SDGs, which involve scholars from all disciplines. As Saric et al. [ 37 ] claimed, a shift in academic research is needed to contribute to the achievement of the 2030 Agenda. The identification of critical pathways to success based on sound research is needed to inform a whole new set of policies and interventions aimed at rendering the SDGs both possible and feasible [ 38 ].

1.3. The relevance and impact of the SDGs on academic research

In the barely five years since their approval, the SDGs have proven the ability to mobilize the scientific community and offer an opportunity for researchers to bring interdisciplinary knowledge to facilitate the successful implementation of the 2030 Agenda [ 21 ]. The holistic vision of development considered in the SDGs has impacted very diverse fields of knowledge, such as land degradation processes [ 25 , 26 ], health [ 39 ], energy [ 40 ] and tourism [ 41 ], as well as a priori further disciplines such as earth observation [ 42 ] and neurosurgery [ 43 ]. However, more importantly, the inevitable interdependencies, conflicts and linkages between the different SDGs have also emerged in the analyses, highlighting ideas such as the need for systemic thinking that considers the spatial and temporal connectivity of the SDGs, which calls for multidisciplinary knowledge. According to Le Blanc [ 12 ], the identification of the systemic links between the objectives can be a valuable undertaking for the scientific community in the coming years and sustainable development.

Following this line, several scientific studies have tried to model the relationships between the SDGs in an attempt to clarify the synergies between the objectives, demonstrating their holistic nature [ 12 , 17 , 20 , 44 , 45 ]. This knowledge of interdependencies can bring out difficulties and risks, or conversely the drivers, in the implementation of the SDGs, which will facilitate their achievement [ 22 ]. In addition, it will allow proposing more transformative strategies to implement the SDG agenda, since it favours an overall vision that is opposed to the false illusion that global problems can be approached in isolation [ 19 ].

The lack of prioritisation of the SDGs has been one of the issues raised regarding their weakness, which should also be addressed by academics. For example, Gupta and Vegelin [ 15 ] analyse the dangers of inclusive development prioritising economic issues, relegating social or ecological inclusivity to the background, or the relational aspects of inclusivity that guarantee the existence of laws, policies and global rules that favour equal opportunities. Holden et al. [ 46 ] suggest that this prioritisation should be established according to three moral criteria: the satisfaction of human needs, social equity and respect for environmental limits. These principles must be based on ethical values that, according to Burford et al. [ 47 ], constitute the missing pillar of sustainability. In this way, the ethical imperatives of the SDGs and the values implicit in the discourses on sustainable development open up new possibilities for transdisciplinary research in the social sciences [ 46 , 47 ].

Research on SDG indicators has also been relevant in the academic world, as they offer an opportunity to replace conventional progress metrics such as gross domestic product (GDP) with other metrics more consistent with the current paradigm of development and social welfare that takes into account such aspects as gender equality, urban resilience and governance [ 20 , 48 ].

The study of the role of certain development agents, including companies, universities or supranational organisations, also opens up new areas of investigation for researchers. Some studies have shown the enthusiastic acceptance of the SDGs by companies [ 22 , 49 ]. For Bebbington and Unerman [ 50 ], the study of the role of organisations in achieving the SDGs should be centred around three issues: challenging definitions of entity boundaries to understand their full impacts, introducing new conceptual frameworks for analysis of the context within which organisations operate and re-examining the conceptual basis of justice, responsibility and accountability. On the other hand, the academic community has recognized that knowledge and education are two basic pillars for the transition towards sustainable development, so it may also be relevant to study the responsibility of higher education in achieving the SDGs [ 47 , 50 ]. Institutional sustainability and governance processes are issues that should be addressed in greater depth through research [ 47 ].

Finally, some authors have highlighted the role of information technologies (ICT) in achieving the SDGs [ 23 ] and their role in addressing inequality or vulnerability to processes such as financial exclusion [ 51 ], which opens up new avenues for research.

Despite this huge impact of the SDGs on academic research, to the best of our knowledge, an overall analysis of such an impact to understand its profoundness and capillarity is missing in the literature. To date, reviews have focused on the implementation of specific SDGs [ 52 – 61 ], on specific topics and collectives [ 62 – 70 ], on traditional fields of knowledge, now reconsidered in light of the SDGs [ 71 – 73 ] and on contributions from specific regions or countries [ 74 , 75 ]. By relying on scientometric techniques and data mining analyses, this paper collects and analyses the more than 5,000 papers published on the SDGs to pursue this challenging goal and fill this knowledge gap.

This article aims to provide a critical review of the scientific research on SDGs, a concept that has emerged based on multiple streams of thinking and has begun to be consolidated as of 2015. As such, global references on this topic are identified and highlighted to manage pre-existing knowledge to understand relationships among researchers and with SDG dimensions to enhance the presently dispersed understanding of this subject and its areas of further development. A scientometric meta-analysis of publications on SDGs is conducted to achieve this objective. Mainstream journals from the Web of Science (WoS) are used to identify current topics, the most involved journals, the most prolific authors, and the thematic areas around which the current academic SDG debate revolves.

Once Section 1 has revised on the related literature to accomplish the main objective, Section 2 presents the research methodology. Section 3 presents the main results obtained, and Section 4 critically discusses these results. The conclusion and the main limitations of the study are presented in Section 5.

2. Materials and methods

In methodological terms, this research applies scientometrics as a meta-analytical means to study the evolution of documented scientific knowledge on the Sustainable Development Goals [ 76 – 81 ], taking as a secondary source of information academic contributions (i.e. articles, reviews, editorials, etc.) indexed in the Web of Science (WoS). To ensure that only peer-reviewed contributions authored by individual researchers are retrieved and that such publications have a worldwide prestige assessment, all of them should be published on journals indexed in the Journal Citation Report (JCR), either as part of the Sciences Citation Index Expanded or the Social Sciences Citation Index [ 82 – 84 ].

Following the recommendations of previous studies [ 85 ], it was decided to apply the next search vector from 2015 to 2020 to achieve the research objectives TS = (Sustainable NEAR/0 Development NEAR/0 Goals), which allows the extraction of data with 67 fields for each article registered in WoS.

As the first step, to give meaning to subsequent analyses, we tested the presence of exponential growth in the production of documented knowledge that allows a continuous renewal of knowledge [ 76 , 86 ].

As a second action, given the recent nature of the subject studied, it is of interest to map the playing field [ 87 ] using VOSviewer software version 1.6.16 [ 88 ], to know which topics are most addressed in the matter of SDGs. This analysis seeks an approach, both through the concentration of Keyword Plus® [ 89 ] and by analysing the references used as input in the production of knowledge, which can be treated as cocitations, coupling-citations and cross-citations [ 90 ], using the h-index, in citation terms, as discriminant criteria in the selection of articles [ 91 – 93 ]. This methodology will allow us to establish production, impact and relationship metrics [ 80 , 85 , 87 , 94 , 95 ].

Finally, it is of interest to explore the possible concentrations that may arise. Using Lotka’s Law, we estimated the possible prolific authors and their areas of work in SDGs, and using Bradford’s Law, we conducted a search of a possible adjustment to a geometric series of the concentration zones of journals and therefore a potential nucleus where a profuse discussion on SDGs is taking place [ 96 – 100 ].

3.1. Configuration of the academic production on SDGs

The results present a total of 5,281 articles for a period of six years (2015–2020) in 1,135 journals, with over 60% of these documents published in the last two years. The total of articles is distributed among authors affiliated with 7,418 organisations from 181 countries/regions, giving thematic coverage to 183 categories of the Journal Citation Report-Web of Science (JCR-WoS). Table 1 shows the distribution among the top ten JCR-WoS categories, highlighting the prevalence of journals indexed in green and environmental sciences and, thus, in the Science Index-Expanded.

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https://doi.org/10.1371/journal.pone.0265409.t001

3.2. Existence of research critical mass

Fig 1 shows the regression model for the period 2015–2020, the last year with complete records consolidated in the Web of Science. The results obtained show significant growth in the number of studies on SDGs, with an R 2 adjustment greater than 96%. The exponential nature of the model shows that a ‘critical mass’ is consolidating around the research on this topic, as proposed by the Law of Exponential Growth of Science over Time [ 76 ], which in some way gives meaning to this research and to obtaining derived results.

https://doi.org/10.1371/journal.pone.0265409.g001

3.3. Establishment of concentrations

In accordance with Lotka’s Law, 22,336 authors were identified of the 5,281 articles under study. From this author set, 136 (≈sqrt (22,336)) are considered prolific authors with a contribution to nine or more works. However, a second restriction, even more demanding, is to identify those prolific authors who are also prolific in contemporary terms. Although SDG studies are recent, the growth production rates are extremely high. As previously shown, for the period 2015–2020, 64% of the publications are concentrated between 2019–2020. Based on this second restriction, for 3,400 articles of the 5,281 articles published in 2019 and 2020, and a total of 15,120 authors, only eight prolific authors manage to sustain a publication number that equals or exceeds nine articles. These authors are listed and characterized in Table 2 .

https://doi.org/10.1371/journal.pone.0265409.t002

The analysis shown in Table 2 highlights the University of Washington’s participation in health issues with Murray and Hay (coauthors of eight articles in the period 2019–2020), who are also important in the area of health for the prolific authors Yaya and Bhutta. The environmental SDGs mark a strong presence with Abhilash, Leal-Filho and Kalin. The affiliation of Abhilsash (Banaras Hindu University) is novel, as it is not part of the classic world core in knowledge production that is largely concentrated in the United States and Europe. It is worth noting that other prolific authors belong to nonmainstream knowledge production world areas, such as Russia or Pakistan. Professor Alola also deserves mention; not only is he the only contemporary prolific author producing in the area of economics, but he is also producing knowledge in Turkey.

In the same way, at the journal level, the potential establishment of concentration areas and determination of a deep discussion nucleus are analysed using Bradford’s law.

With a percentage error of 0.6%, between the total journal number and the total journal number estimated by the Bradford series, the database shows a core of 18 journals (2%) where one in three articles published are concentrated (see Table 3 ).

https://doi.org/10.1371/journal.pone.0265409.t003

Regarding the number of contributions by journal, Sustainability has the largest number of studies on SDGs, in which 689 (13%) of the 5,281 articles studied are concentrated. The Journal of Cleaner Production, indexed to WoS categories related to Environmental SDGs, is the second most prominent journal, with 2.7% participation of the articles (147). Both journals are followed by the multidisciplinary journal Plos One, with 2.2% of the total dataset. In terms of impact factor, the 60 points of the health journal The Lancet are superlative in the whole, which in the other cases ranges between 2.000 and 7.246. As shown in Table 4 , we have developed a “Prominence ranking” by weighting article production by impact factor. This metric shows The Lancet, with only 40 articles on SDGs, as the most relevant journal, followed by Sustainability, which becomes relevant due to the high number of publications (689) despite an impact factor of 2.576. These journals are followed by the Journal of Cleaner Production with 147 articles and an impact factor of 7.246.

https://doi.org/10.1371/journal.pone.0265409.t004

3.4. Thematic coverage

Concerning the thematic coverage, Fig 2A and 2B show a diversity of 7,003 Keyword Plus® (KWP), consistently connected to a total of 7,141 KWP assigned by Clarivate as metadata to the set of 5,281 articles studied, which presents a strong concentration in a small number of terms (red colour in the heat map generated with VOSviewer version 1.6.16).

a) Keywords Plus® heatmap and b) heat map zoom to highlight the highest concentration words, data source WoS, 2020.

https://doi.org/10.1371/journal.pone.0265409.g002

Based on this result, a concentration sphere with 85 KWP (= sqrt (7,141)) is established according to Zipf’s Law, which is presented in 50 or more articles out of the total of 5,281. Moreover, a central concentration sphere of 9 KWPs (= sqrt (85)) can be found, with keywords present in a range of 178 to 346 articles out of a total of 5,281. These nine pivotal keywords are all connected in terms of co-occurrence (associated by Clarivate two or more to the same article) and within papers with an average number of citations in WoS that vary from 9.27 to 16.69, as shown in Table 5 . The nine most prominent key words in relation to the study of the SDGs are health, climate change, management, impact, challenges, governance, systems, policy and framework. These terms already suggest some of the themes around which the debate and research in this area revolves.

https://doi.org/10.1371/journal.pone.0265409.t005

The prominence of these keywords is obtained by combining the level of occurrence and average citations (see Table 5 ): on the one hand, the occurrence or number of articles with which the KWP is associated (e.g., Management, 346) and, on the other hand, the average citations presented by the articles associated with these words (e.g., Framework. 9.27). The final score (prominence) mixes both concepts, given the product of the occurrences and the average citations of each KWP in proportion to the mean values (e.g., (330 * 16.69)/(246 * 11.96) = 1.9).

3.5. Relations within the academic contributions

The coupling-citation analysis using VOSviewer identifies the 5,281 articles under study, of which only those found in the h-index as a whole have been considered (the h-index in the database is 81, as there are 81 articles cited 81 or more times). The bibliographic coupling analysis found consistent connections in only 73 of these articles, gathered in seven clusters. Such clusters and unconnected articles are represented in Fig 3 .

Data source WoS. 2020.

https://doi.org/10.1371/journal.pone.0265409.g003

In simple terms, discrimination belonging to one cluster or another depends on the total link number that an article has with the other 80 articles based on the use of the common references. Table 6 specifies the articles belonging to the same publication cluster in relation to Fig 3 .

https://doi.org/10.1371/journal.pone.0265409.t006

Bibliographic coupling analysis can also be used to link the seven clusters that use common references with the field document title (TI), publication name (SO), Keyword Plus-KWP (ID), and research areas (SC). This allows the identification of the main topics of each cluster. As shown in Table 7 , cluster 1 (red) concerns environmental and public affairs; cluster 2 (green), health; cluster 3 (blue), economics; cluster 4 (yellow), health–the burden of disease; cluster 5 (violet), economics–Kuznets curve; cluster 6 (light blue), energy; and cluster 7 (orange), soil—land.

https://doi.org/10.1371/journal.pone.0265409.t007

3.6. Outstanding contributions in the field

The cocitation analysis identified a total of 232,081 references cited by the 5,281 articles under study. It suggests taking as references to review those that present 44 or more occurrences in the database (232,081/5,281). This method results in 34 articles that have been used as main inputs for the scientific production under analysis, cited between 44 and 504 times. A result worth highlighting is that one in three of these documents corresponds to reports from international organisations, such as the United Nations (UN), United Nations Educational, Scientific and Cultural Organization (UNESCO), United Nations International Children’s Emergency Fund (UNICEF), United Nations Fund for Population Activities (UNFPA), World Bank Group (WB) or World Health Organization (WHO). However, it is also possible to identify 21 peer-reviewed scientific contributions. These papers are identified in detail in Table 8 .

https://doi.org/10.1371/journal.pone.0265409.t008

The cocitation analysis yields the degree of relationship of these 21 most cited research articles. It is how such references have been used simultaneously in the same article. Fig 4 displays this information (to help readers, it has also been included in Table 8 , centrality in 21 column).

https://doi.org/10.1371/journal.pone.0265409.g004

According to the relationship level in the most cited article’s selection, the graph ( Fig 3 ) has been clustered in three colours: cluster 1 in red colour groups the highest articles proportion (9) published between 2013 and 2017 in 7 journals. These journals present an impact factor (IF) quite heterogeneous, with values ranging from 2.576 (Sustainability) to 60.39 (Lancet) and indexed in one or more of the following WoS categories: Environmental Sciences (4 journals), Green & Sustainable Science & Technology (4), Environmental Studies (2), Development Studies (1), Medicine, General & Internal (1), Multidisciplinary Sciences (1) and Regional & Urban Planning (1). Three of these articles are cited 130–150 times in the 5,281-article dataset and, at the same time, show a connection centrality of 95–100% with the other 20 articles in the graph, implying a high level of cocitation. The other two clusters group six articles each. The articles of cluster 2 (green colour) are included in a widespread WoS category set: Environmental Sciences (3 journals), Geosciences, Multidisciplinary (2), Ecology (1), Economics (1), Energy & Fuels (1), Environmental Studies (1), Green & Sustainable Science & Technology (1), Materials Science, Multidisciplinary (1), Meteorology & Atmospheric Sciences (1) and Multidisciplinary Sciences (1). The research of Nilsson [ 101 ] was used as a reference in 176 of the 5,281 articles under study, showing a centrality of 100%. This great connection level is also featured in another less cited article [ 17 ] published in Earth’s Future. Finally, cluster 3 (blue) highlights six articles concentrated in three highly cited journals in the WoS categories: Medicine, General & Internal (Lancet) and Multidisciplinary Sciences (Nature and Science), whose IFs range from 41.9 to 60.4. In general, they are articles less connected (cocited) to the set of 21, with centralities of 30–90%. Two of these articles were referenced 140 times or more, although one was published in 2009. Thus, cluster 3 concentrates the references mainly in journals on environmental issues with scientific-technological orientation, as well as classic and high-impact WoS journals (The Lancet, Nature and Science). It is worth noting that some of these top journals may not be listed in Table 4 as they are not included in the Bradford’s nucleus, due to their comparatively low number of contributions published.

Finally, continuing with the thematic study, a cross-citation analysis was developed. Considering only the 81 articles that are part of the h-index of the total set of 5,821 articles under study, the citations that are presented among this elite article set are explored using VosViewer. The cross-citation analysis detects existing relationships between 37 of these 81 articles. Once the directionality of the citations has been analysed, a directed temporal graph is generated using Pajek 64 version 5.09, which is presented in Fig 5 .

https://doi.org/10.1371/journal.pone.0265409.g005

Fig 5 shows how these 37 highly cited articles are related to each other (the number after the name is the publication year), considering that some of these articles are cited as references in other articles in this set. The relationships between the articles in Fig 5 are complex and should be understood under a temporal sequence logic in the citation between two articles. However, some trends can be highlighted.

On the one hand, some contributions stand out for their centrality. Lim et al. [ 102 ] is connected with eight of the 37 articles (21.6%) on citing relationships, as is Fullman et al. [ 27 ], which relates to seven of the 37 articles (18.9%). Both authors researched health issues and are also coauthors of nine articles of the dataset under study. On the other hand, according to the SDG segmentation proposed, Hajer et al. [ 19 ] and Le Blanc [ 12 ] are recognized as seminal articles in social SDGs, since they contribute to the production of other subsequent articles in the set of 37. On the other hand, in health matters, seminal articles are Norheim et al. [ 103 ] and You et al. [ 104 ], two articles published in The Lancet whose citations also contribute to the production of the set introduced as Fig 5 .

4. Discussion

The main purpose of this paper was to develop a critical and comprehensive scientometric analysis of the global academic literature on the SDGs from 2015 to 2020, conducted using the WoS database. The attained results have made it possible to comprehend and communicate to the scientific community the current state of the debate on the SDGs, thus offering insights for future lines of research.

To achieve the objectives, the present study analysed a broad spectrum of 5,281 articles published in 1,135 WoS journals. A first aspect that is striking is the great diversity of topics addressed in these studies, which reflects the multidimensionality of the SDGs. Despite this, more than half of the articles are concentrated in two JCR-WoS categories (Environmental Sciences and Green Sustainable Science Technology), a percentage that exceeds 80% if the categories Environmental Studies and Public Environmental Occupational Health are added. Thus, on the one hand, the size of the body of literature and the broad spectrum of topics more than covers the four perspectives of analysis that are relevant in research on the SDGs, according to Hajer et al. [ 19 ]: planetary boundaries, the safe and just operating space, the energetic society and, last, green competition. However, on the other hand, results also highlight a strong focus on the environmental aspects of the SDGs, which undoubtedly concentrate the most contributions.

The Sustainable Development Goals constitute an area of research that has experienced exponential scientific growth, a tendency already suggested by previous studies [ 81 , 105 ], thus complying with the fundamental principles of Price’s law [ 76 ], which suggests the need for this exponential growth to manifest a continuous renewal of knowledge on the subject under study. The results of this study highlight a significant increase in the number of articles published in the last two years, given that six out of ten articles were published in 2019 or 2020. This tendency confirms how the SDGs continue to arouse great interest in the scientific community and that the debate on the interpretation of sustainable development is still open and very present in academia.

The variety of knowledge areas from which science can approach the SDGs demonstrates the different avenues that exist to address different research questions and their multidimensional nature, as anticipated by Pradhan et al. [ 17 ], a dispersion not far from the traditional fields of knowledge or the conventional dimensions of sustainability. Investigating the reasons for this dispersion in academic research on the SDGs may be a topic of great interest, as anticipated by Burford et al. [ 47 ] and Le Blanc [ 12 ], since understanding the phenomenon of development can only be achieved if the main challenges, both current and future, can be viewed holistically and comprehensively. Along these lines, Imaz and Eizagirre [ 106 ] state that the complexity of the study of the SDGs is undoubtedly marked by their aspiration for universality, by their broad scope encompassing the three basic pillars of sustainable development (economic development, environmental sustainability and social inclusion) and by their desire for integration, motivated by the complexity of the challenges and by the countless interlinkages and interdependencies.

This natural multidimensionality of the SDGs calls for strong cooperation and collaboration between researchers, universities, and countries. In this sense, the scientometric analysis provides good news, as more than a hundred prolific authors (defined as those authors who have published nine or more articles on this topic) have been identified, although these are reduced to eight in contemporary terms (2019 or 2020). This select group of eight authors who lead research and publishing on the SDGs (sometimes with dual or triple affiliations) produce knowledge for universities and research centres both in the global north and the global south: Canada, the U.S., the UK, Germany, Pakistan, Turkey, India, Benin, Russia and Cyprus. The protagonist role played by research institutes in countries in the north has already been acknowledged by previous studies [ 81 , 105 ]. However, the emergence of top scholars producing academic knowledge from developing countries is a more recent tendency, which underscores the pertinence of this analysis.

A closer look at the academic and research curricula of these authors leads to the conclusion that the study of the SDGs does not constitute a final field of research at present. These researchers come from very heterogeneous disciplines, so their approach to the SDGs is also multidisciplinary. To illustrate it with an example, the most cited article by Professor Abhilash of Banaras Hindu University (the most published contemporary prolific author along with Christopher Murray of the University of Washington), with 363 WoS citations in February 2021 alone, is on the use and application of pesticides in India.

In more concrete terms, following Wu et al.’s [ 23 ] classification as a frame of reference, the eight most prolific contemporary authors approach the SDG research problem from two main domains, one of an environmental nature (Abhilash, Leal-Filho, Alola and Kalin) and the other related to health (Murray, Yaya, Bhutta, and Hay). The most common journals where these authors publish on environmental issues are the Journal of Cleaner Production, Higher Education, Water and Science of the Total Environment. Health researchers, on the other hand, tend to publish mainly in the journals of the BMC group, The Lancet and Nature.

This wide diversity of academic fora can be clarified with the application of Bradford’s laws, which identified a core of 18 journals that bring together the debates and academic discussions about the SDGs. It is worth noting that the 18 journals that form the core are distributed in 16 different thematic areas or WoS categories: Development Studies; Ecology; Economics; Education & Educational Research; Engineering, Environmental; Environmental Sciences; Environmental Studies; Green & Sustainable Science & Technology; Hospitality, Leisure, Sport & Tourism; International Relations; Medicine, General & Internal; Multidisciplinary Sciences; Public, Environmental & Occupational Health; Regional & Urban Planning; and Water Resources. On the one hand, this wide dispersion in terms of areas of knowledge suggests that research on the SDGs can be studied from different approaches and disciplines, which opens up a wide range of possibilities for researchers from different branches of scientific knowledge, as well as an opportunity for multidisciplinary collaborations. On the other hand, this heterogeneity might also hinder the communication and dissemination of learning from one field to another. The cross-citation analysis provided in Fig 5 suggests this possibility, as seminal works are related to thematic disciplines more than to the seminal contributions identified in Table 8 .

In this sense, it is interesting to analyse the top-cited articles in the database, as they provide a clear picture of the field of knowledge. One-third of these contributions are provided by international institutions, such as the United Nations Development Program or the World Bank, which provide analyses of a normative nature. This prevalence reflects some weaknesses in the academic basis of the analysis of the SDGs as a whole from a scientific approach, an idea reinforced when the most cited papers are analysed. In fact, only six papers have reached more than 100 citations by contributions included in the database [ 4 , 12 , 24 , 29 , 101 , 107 ]. Not only were these papers largely published before the approval of the SDGs themselves, but half of them are editorial material, inviting contributions but are not evidence-based research papers. Highlighting the nature of the most cited contributions does not diminish their value but does speak to the normative approach that underlies the analysis of the SDGs when addressed not individually but as an overall field of research.

Regarding topics and themes of interest, the scientometric analysis carried out in this research identified a strong concentration around a small number of terms, as represented in a heat map ( Fig 2A and 2B ). All these topics constitute a potential source of inspiration for future research on the subject.

Through an analysis of the main keywords, it can be seen that the studies focused on the traditional areas of health and climate change. However, these keywords also provide new elements for discussion, as they uncover some other areas of study that have been highlighted by the literature. First, the appearance of the term Management as one of the main keywords reveals the importance that researchers give to the role of business in achieving the SDGs, as already suggested by Scheyvens et al. [ 49 ] and Spangenber [ 22 ]. Second, the need to address new governance processes and to seek global solutions, as suggested by authors such as Sachs [ 4 ], underscore the keywords Governance, Policy and Framework, all aspects deemed crucial for the achievement of the SDGs and the 2030 Agenda [ 108 ]. Finally, other keywords such as Impact, Challenges or Systems are a clear example of the complexity and interdependencies that exist in research on the SDGs, considered an essential aspect by Griggs et al. [ 13 ] or Le Blanc [ 12 ]. The attained results highlight some of the connections between different domains of sustainable development by identifying categories and themes that are highly related in the groupings that emerge from the bibliographic coupling analysis.

In general terms, the holistic vision of development embodied by the SDGs has drawn the attention of very different disciplines, fields and areas of scientific knowledge. However, seven major areas of research have emerged: environmental and public affairs, health, economics, health-burden of disease, economics-Kuznets curve, energy and soil-land. These areas are not far removed from the current paradigm of sustainable development, where poverty or inequality are problems that are not exclusive to developing countries [ 5 , 6 ]. Thus, emerging issues that mainly affect first world countries, including urban planning, the impact of activities such as hospitality, sport or tourism, or education for development, are starting to stand out with increasing intensity, which continues to open new avenues for future research.

In short, the results of the scientometric analysis have provided a systematized overview of the research conducted in relation to the SDGs since the approval of the 2030 Agenda. Among other things, the critical analysis has identified the main trends with respect to the number of publications, the most relevant journals, the most prolific authors, institutions and countries, and the collaborative networks between authors and the research areas at the epicentre of the debate on the SDGs. As Olawumi and Chan [ 105 ] already acknowledged, the power research networks applied to the study of the SDGs offer valuable insights and in-depth understandings not only of key scholars and institutions but also about the state of research fields, emerging trends and salient topics.

Consequently, the results of this work contribute to the systematic analysis of scientific research on the SDGs, which can be of great interest for decision-making at the governmental level (e.g., which research to fund and which not to fund), at the corporate level and at the level of research centres, both public and private. Furthermore, the scientometric analysis carried out may provide clues for academics regarding future lines of research and topics of interest where the debate on the SDGs is currently situated.

5. Conclusions, limitations and future research lines

As could not be otherwise, all research in the field of social sciences has a series of limitations that must be clearly and transparently explained. The two most relevant in this study are the following.

First, although the study of the SDGs is a recent object of research, the rate of publication is growing exponentially, such that scientific knowledge is renewed practically in its entirety every two years. The only articles that escape this scientometric obsolescence are those with a high number of citations (h-index). This circumstance generates a temporal limitation in terms of the conclusions obtained in the present investigation, conclusions that should be revised periodically until the growth of publications stabilizes by adopting a logistic form, as recommended by Sun and Lin [ 109 ].

Second, the articles used as the basis for this research were restricted to those published in the JCR-WoS. This decision was made for two main reasons. On the one hand, the limitation was to eliminate potential distortions that could occur as a result of the constant growth of journals that are incorporated annually into other databases, such as ESCI-WoS (Emerging Sources Citation Index). On the other hand, it is impossible to compare impact indices if integrating other databases such as Scopus.

We are aware of these limitations, which for developing a more selective analysis imply assuming the cost of less coverage in exchange.

Regarding future lines of research, the analysis highlights how the study of the SDGs is failing to balance their economic, social and sustainability components, as it still maintains an overall focus on environmental studies.

This suggests the urgency of increasing studies on social SDGs, key topics on the 2030 Agenda including equity (SDGs 4, 5 and 10), social development (SDGs 11 and 16) and governance (SDG 17). These topics are part of the public discourse and currently a source of social pressure in many latitudes, but they are still research areas that are necessary to deepen.

Economic sustainability studies are more present, but highly concentrated, in health economics, as previously acknowledged by Meschede [ 81 ]. Academic research on the SDGs against poverty (SDG 1) and hunger (SDG 2) has not achieved such a prominent place as health. Even less so, the economics of technological development (SDGs 8 and 9), which are recognized as crucial for economic development.

Finally, the environmental SDGs do not achieve a balance among themselves either. Academic research has prioritized action for climate (SDG 13) and industrial and human consumption, mainly water (SDG 6) and energy (SDG 7). New research should be developed in the area of land (SDG 15), life under the sea (SDG 14) and sustainable production (SDG 12).

Supporting information

S1 dataset..

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Sustainable development goals: a bibliometric analysis of literature reviews

Natália ueda yamaguchi.

1 Post-Graduation Program in Clean Technologies, Cesumar Institute of Science, Technology and Innovation, Cesumar University, Maringá, Brazil

Eduarda Gameleira Bernardino

Maria eliana camargo ferreira, bruna pietroski de lima, mauro renato pascotini.

2 Post-Graduation Program in Health Promotion, Cesumar Institute of Science, Technology and Innovation, Cesumar University, Maringá, Brazil

Mirian Ueda Yamaguchi

Associated data.

Raw data are available upon request.

The research in sustainable development goals (SDG) increases year by year since its approval in 2015. Typically, after a phase of exponential growth, the number of publications increases at lower rates, suggesting a consolidation process in which literature reviews become a relevant and high-evidence type of document. In this context, the aim of this study was to perform an unprecedented bibliometric analysis of literature reviews on SDG to assess the evolution and consolidation of the scientific research. Article reviews on SDG from 2015 to 2022 were retrieved from Web of Science core collection and a descriptive bibliometric analysis was performed by growth rate, research area, source, citation, and region. Mapping and cluster analysis using keyword co-occurrence, co-authorship, and bibliographic coupling were also applied. The result revealed that SDG is a fast-growing field, with a trend in the diversification of research areas. Most of the review documents were categorized in general aspects of sustainability. Technology (SDG 9) and economic growth (SDG 8) were spotted as hidden key research areas. This result is contrary to previous bibliometric studies on SDG, demonstrating the rapid evolution and change in the field. In addition, literature reviews on reduced inequalities (SDG 10), gender equality (SDG 5); oceans, seas, and marine environments (SDG 14); and peace, justice, and strong institutions (SDG 16) were revealed as research gaps. Thus, the results demonstrated that the research on SDG cannot yet be considered a consolidated area of research, as it leaves many SDG unexplored. Future research has been proposed accordingly.

Introduction

The United Nations (UN) sustainable development goals (SDG) are a universal political agenda that address for a collective action to achieve a better and more sustainable future for all, solving the social, economic, and environmental issues that hinder global progress towards sustainability intended to be achieved by the year 2030 (United Nations 2015 ).

The UN General Assembly approved the Resolution A/RES/70/1 on “Transforming our world: the 2030 Agenda for Sustainable Development.” The agenda outlined 17 SDG and specific targets and indicators for each of the 17 SDG were defined by UN, totalizing 169 targets and 213 indicators that form a global action plan (United Nations 2017 ). Furthermore, the Agenda established five areas of critical importance known as the five pillars (5Ps): people, planet, prosperity, peace, and partnership (Tremblay et al. 2020 ) (Table ​ (Table1 1 ).

United Nation sustainable development goals

* 5Ps , planet, prosperity, people, peace, and partnership

The SDG are a recognized blueprint essential to achieve shared and sustainable prosperity with global action among governmental and non-governmental organizations, businesses, industry, civil society organizations, research, and technology development (Khaled et al. 2021 ).

However, there are crucial challenges to overcome, emphasizing the importance of the interrelationship between sectors, actors, and countries that have lesser and greater economic development (Stafford-Smith et al. 2017 ). Additionally, it can be pointed out the strong interdependencies between the failure or delay to implement one goal and how it will have repercussion in the others goals (Randers et al. 2018 ; Díaz-López et al. 2021 ).

Consequently, due to these interrelationships complexity, it is valuable for researchers to assess the status of the SDG research, for instance by mapping the existing knowledge or creating new knowledge to contribute to achieve the goals defined by the United Nations and also allow the overcoming of previous partial approaches to sustainable development (Belmonte-Ureña et al. 2021 ; Bordignon 2021 ).

A simple query performed through Web of Science (WoS) using the keywords “Sustainable Development Goal*” performed on October 1, 2022 resulted in 37,937 records. This demonstrates the great interest in the SDG as an object of research in recent years. Given these numbers, it is relatively difficult to map and identify the status of SDG research because of their infinity. Other issues deal with subjectivity, transparency, and delay in the literature review process. A broad view of a research area is important for obtaining valuable and impartial prospects for future research developments. Thus, a comprehensive review is needed to facilitate the integration of the contributions to provide a critical perspective (Díaz-López et al. 2021 ).

Bibliometric analysis is a statistical technique applied to examine the scientific production in a field of research. It allows to study the evolution of knowledge on a given topic during a certain period of time based on data publication (Belmonte-Ureña et al. 2021 ; Zupic and Čater 2015 ). It combines two main procedures: (i) the performance analysis and (ii) science mapping. The performance analysis is established on indicators that provide data about the amount and impact of the research through the application of several techniques, as citation analysis, counting publications, word frequency analysis by a unit of analysis (Romanelli et al. 2021 ). Science mapping is a graphic representation of how different scientific elements (knowledge areas, documents or authors) are interrelated. It shows the impact, structural, and dynamic organization of a knowledge topic, a field of research, a group of researchers, or a document, based on relation indicators (Marzi et al. 2017 ; Pizzi et al. 2020 ). Science mapping allows finding insights into patterns of a knowledge area that would be difficult to identify using traditional research review methods (Hallinger and Chatpinyakoop 2019 ; Prieto-Jiménez et al. 2021 ). Furthermore, science mapping analysis can be used to show or uncover some invisible key elements in a specific interest area (Cobo et al. 2011 ).

Although many bibliometric studies have been found in the field of SDGs research, most of them focus on specific disciplines, such as SDG and the business sector (Pizzi et al. 2020 ), education (Prieto-Jiménez et al. 2021 ), poverty (Yu and Huang 2021 ), and few bibliometric studies cover the SDG general aspects and its evolution. Nevertheless, some interesting bibliometric studies of SDG trends are worth mentioning, such as the study of Díaz-López et al. ( 2021 ), Meschede ( 2020 ), Yeh et al. ( 2022 ), and Sianes et al. ( 2022 ). All of them included a large number of documents (thousands) and do none of them focused on literature review articles.

Thus, the aim of this study was to conduct a bibliometric analysis of literature reviews on SDG from 2015 to 2022 with the following specific objectives:

• Get a perspective of the status and evolution on the scientific research of SDG
• Provide a visual representation of interrelations of the SDG review articles and its scientific elements
• Reveal insights from the identified patterns of thematic currents
• Define research gaps and hidden key elements on the SDG and propose future research

Materials and methods

The analysis of scientific literature was performed using a bibliometric analysis and was conducted in three phases (Fig.  1 ). It is worth mentioning that the present study restricted the analysis to review articles, that capture a general view of SDG research, and allow to understand and identify the domain of knowledge, the development of theories and concepts, and the academic debates in SDG research without carrying out any new studies or exhaustive review of the literature, as the review articles examine and summarize the state-of-art on certain topics from the available literature (Meschede 2020 ).

Phases of methodology

Search and data collection

Analyzed metadata used in this investigation were obtained from the Clarivate Analytics WoS core collection database of the Institute for Scientific Information (ISI, Philadelphia, PA). Documents were retrieved by searching (‘‘SUSTAINABLE DEVELOPMENT GOAL*’’ or ‘‘SDG*’’) in the field “TITLE”, on SCI-expanded collection and as filter “REVIEW ARTICLES.” The search was conducted on October 1, 2022 and was narrowed to documents with publications years after 2015, because of the adoption year of the SDG, resulting in 312 documents.

All available metadata (abstract, keywords, funding, author, authors’ affiliation information, year of publication, thematic area, journal) were downloaded as a CSV-file. The data were checked for debugging using Microsoft Excel software, and a thesaurus file was created. In the thesaurus file, the keywords were normalized, eliminating duplicities, unifying synonyms, and developing acronyms. For this purpose, the all keywords were included. The VOSviewer 1.6.18 software was selected for this phase, due to its remarkable visualization feature for bibliometric data and also because it is a freely available tool (Meschede 2020 ; Prieto-Jiménez et al. 2021 ; van Eck and Waltman 2010 ).

Performance analysis

In this step, the basic characteristics of retrieved documents was performed using a descriptive bibliometric analysis exploring: (1) publication output; (2) research area; (3) most productive sources; (4) most-cited documents; (5) most productive countries. For the analysis of the most relevant sources, the impact factors were obtained from the Journal Citation Reports (JCR) published in 2021 that assesses the journals performance via the SCIMago Journal Rank (SJR) indicator based on an average number of citations. Furthermore, the total citations (TC), the average number of citations per paper (AC), the normalized citations (NC), the average normalized citations (ANC), and Hirsch index (h-index) were also used to assess the citation impact and productivity of a document, authors, and/or sources.

Cluster analysis and visualization

The third step included the cluster analysis and visualization by mapping technique. The co-authorship, bibliographic coupling and keyword co-occurrence were selected to be used as indicators (Ferreira 2018 ; Santana et al. 2020 ). The maps were interpreted according to the generated weights and score attributes assigned to each cluster (Garrigos-Simon et al. 2018 ; Prieto-Jiménez et al. 2021 ). An interpretive analysis was used to explore the conceptual structure of the SDG field and identify the thematic currents. Unique and significant keywords were identified in the co-occurrence mapping analysis. Thus, transversal terms (e.g., “sustainability”, “sustainable development goals” or “agenda 2030”) were excluded, as they can be associated with several SDG or the entire sustainable development agenda. In addition, keywords relating to specific methodologies (e.g., “review”, “bibliometric analysis”, “cluster analysis” or “systematic review”) were also excluded according to previous reported methodologies (Yakovleva and Vazquez-Brust 2012 ; Pizzi et al. 2020 ; Belmonte-Ureña et al. 2021 ).

Results and discussion

Publication output.

Figure  2 shows the cumulative distribution of scientific production of documents output of SDG reviews from its first issue in 2015 to 2022, after 7 years of its conception. In general, the publication output seems to increase over the years. In 2015, only one review was published, related to SDG 3, and the number of published review papers increased to 9 in the year of 2016. From 2017 to 2018, the number of published review papers per year increased dramatically from 10 articles to 40. Three years later, the number of published papers per year doubled and from then onwards, continues to grow, achieving a total of 312 publications in October 2022.

Cumulative scientific production of review documents on sustainable development goals

Research areas

The cumulative publications of the main fields covered by literature reviews of SDG classified by WoS thematic categories published over the years are also shown in Fig.  2 . The main fields covered were (i) environmental sciences, (ii) green sustainable science technology, (iii) environmental studies, (iv) public environmental occupational health, (v) water resources, and (vi) energy fuels. The first category represents 44% of the total documents analyzed and it is of particular relevance. This result was expected, as environmental sciences is an interdisciplinary academic field that integrates physics, biology, and geography that studies the environment and the solution of environmental issues and includes a wide range of subjects (Zhu et al. 2021 ). Also, the publications could be included in multiple categories. Most of the documents (56%) were categorized in general aspects of sustainability, such as environmental sciences, environmental studies, and green and sustainable science technology. The others thematic categories that stood out were attributed to the relevance of SDG 3 and to technological themes that include SDG 6 and SDG 7, respectively.

In order to assess the distribution of SDG in literature review publications over the years, the articles were analyzed individually and classified as shown in Fig.  3 . An initial concern with SDG 3 was observed in relation to the first few years, since the first single publication in 2015, was referred to public environmental occupational health, and consequently with 100% of publications. A decrease trend in the proportion of SDG 3 publications over years was observed. It is clear that publications related to SDG 3 increased in number; however, the proportion of articles concerned to SDG 3 decreased, while the number and proportion of other SDG increased.

Sustainable development goals (SDG) distribution of the review publications over the years

In the second year, an interest in relation to SDG 2, 12, and 17 was observed. Only in 2017 review articles of SDG related to hunger, energy, and peace were found. From 2018 onwards, more applied and diversified research were observed. Thus, areas related to nature and technology were covered, as water and sanitation, industry, innovation and infrastructure, food and agriculture, business and management, development studies and urban studies, climate change, life on land and water, are also slowly growing, indicating a trend in research in the environmental area. In addition, the results showed that the social area was the least studied, since only 2 and 4 review articles were found with regard to SDG 10 and SDG 5, respectively. The SDG are integrated, indivisible, and mixed, in a balanced way, in the three dimensions of sustainable development: economic, social, and environmental. Therefore, it will not be possible to achieve the goals if there is no balance between them (United Nations 2015 ).

Furthermore, it was observed that even though the year 2022 has not yet ended, this was the only year that presented review articles that includes all the SDG. This result also shows the trend of more diversified research on SDG.

The most relevant journals regarding the largest number of citations are presented in Table ​ Table2. 2 . Among the top ten journals, most of them are related to general aspects of sustainability, such as, the journals: Current Opinion in Environmental Sustainability, Science of the Total Environment, Journal of Cleaner Production, Sustainability and Sustainability Science. Most journals are in regard to the general aspects of sustainability, according to the previous results. The journal Lancet and Globalization and Health are related to SDG 3, whereas Nature energy and Renewable Sustainable Energy Reviews are attributed to SDG 7. These results are in accordance to the results previously discussed.

The top 10 most-cited journals

D , number of documents; TC , total citations; AC , average number of citations per document; NC , normalized citations; ANC , average normalized citations; h-index , Hirsch index; IF , impact factor

Regarding the number of documents by journal, Sustainability has the largest number of reviews on SDG, concentrating 40 (13.8%) of all the articles analyzed (312), followed by the Journal of Cleaner Production with 4.2% participation of the review articles (13), and Current Opinion in Environmental Sustainability journal with 3.8% of the total dataset, that is also the most-cited journal with 790 total citations (TC). Concerning the impact factor, two journals stand out, the 79-point journal Lancet and the 61-point journal Nature Energy. In respect to the h-index, the Lancet (807) and Nature Communications (410) are the most remarkable. Similar results were obtained by Sianes et al. ( 2022 ) who used bibliometric methodologies to evaluate the impacts of SDG on the academic agenda.

The average number of citations per document (AC) show that Nature Energy, Nature Communications, and the Lancet stand out with 372, 147, and 110 citations, respectively. However, when observing the normalized citation (NC), that is the number of citations of a document equals the number of citations of the document divided by the average number of citations of all documents published in the same year included in the data that is provided to VOSviewer (van Eck and Waltman 2010 ), showed that Science of the Total Environment (NC = 27), Sustainability (NC = 27), and the Journal of cleaner production (NC = 21) are the most prominent sources. This normalization corrects the fact that older documents have more time to receive citations than recent documents (van Eck and Waltman 2010 ). Nonetheless, the average normalized citation (ANC), which indicates the NC divided by the number of documents, demonstrated that Nature Energies (ANC = 6.03), Nature Communications (ANC = 5.43), and the Science of total environment (ANC = 3.35) are the most noticeable journals.

Thus, it is noted that even though the total number of documents, TC, h-index, and IF indicate that SDG 3 is among the top 3 most relevant sources, the normalized citation data indicate that journals research on energy, multidisciplinary and general environmental sciences, and sustainability are among the most noticeable sources. It is important to highlight that this result is contrary to that obtained in bibliometric studies reported previously (Meschede 2020 ; Yeh et al. 2022 ). This indicates that the number of citations alone is not adequate to assess the relevance of a document or journal (Simko 2015 ).

One can observe in Table ​ Table3, 3 , which show the most relevant review documents based on the TC of the documents, that the majority are focused on SDGs 3 and 7. In this way, review publications go even further in determining strategies and methodologies that seek to achieve the SDG through serving the health and energy sectors. However, when analyzing the NC, the document that really stands out is related to SDG 9, followed by the SDGs 7 and 3, which corresponds to innovation, energy and mental health, respectively.

The top 10 most-cited documents

SDG , sustainable development goals; TC , total citations; NC , normalized citations

Furthermore, the density analysis of bibliographic coupling of the most-cited documents is represented in Fig.  4 . For this purpose, a minimum of 148 citations from each document were used as a limit, in order to obtain the top 10 most-cited documents. Thus, 11 documents met the stipulated threshold, as expected, and 4 clusters were formed with 21 links, and total link strength of 56, where the weights were the number of citations. In general, the documents did not present high coupling strengths, as the number of citations is represented by the intensity of the red color and the bibliographic coupling by the proximity of the documents. This behavior was expected, as those papers have distinct themes and their specific attention contribute to SDG and novelty on different areas.

Density diagram of bibliographic coupling of documents (minimum number of citations of a document of the 312 documents: 148, meet the threshold: 11, clusters: 4, links: 21, total link strength: 56, weights: citations, VosViewer 1.6.18)

Nerini et al. ( 2018 ) mapped the synergies and trade-offs in energy and SDG, and Vinuesa et al. ( 2020 ) described about the importance of artificial intelligence. Both documents discussed about technology and SDG, and, thus, they present some coupling strength. However, McCollum et al. ( 2018 ) also discussed about energy (SDG 7) and did not present bibliographic coupling with those articles. These results of bibliographic coupling demonstrated the lack of integration between the research, even when within the same field.

Caiado et al. ( 2018 ) and Biermann et al. ( 2017 ) discuss similar themes of constraints and governance. Therefore, it was expected them to have high coupling strengths. Vanham et al. ( 2018 ) was the only article about the SDG 6 included in the most-cited reviews, which contains water scarcity metrics for monitoring progress, and thus, it was not found bibliographic coupling with others top-cited documents.

Buse and Hawkes ( 2015 ), Bekker et al. ( 2018 ), and Nugent et al. ( 2018 ) focused their articles on SDG 3 and reviewed studies about heath, HIV, and disease prevention, respectively. It is worth mentioning that the article of Lund et al. ( 2018 ), which brings a review study on social determinants of mental disorders, did not presented bibliographic coupling with the other documents of SDG 3. This is an indicative that the psychiatry field is traditionally separated from other medicine branches of medicine and health fields (Fiorillo and Maj, 2018 ), even though mental health should be considered as good health and well-being (SDG 3). These results demonstrate that the areas are not very interconnected even when dealing with the same subject.

In order to represent the importance of SDG review production by the most productive countries based on corresponding authors affiliations country, a total of 88 countries, from all continents, of the place of the scientific production analyzed by country or region were represented (Fig.  5 ). The United Kingdom was the most prolific region, accounting for 21.7% of the review articles (68), followed by the USA and Australia, which represented 19.6% (61) and 16.0% (50), respectively. Finally, India accounted for 10.9% (34) of the scientific production, followed by Germany and China, both accounting with 8% (25) each.

The geographical distribution of documents

To better understand international collaborations, the mapping of co-authorship of countries according to the authors’ affiliations was presented in Fig.  6 . In addition, the citation characteristics of the clusters were provided in Table ​ Table4. 4 . All countries that presented at least 5 publications were included. This condition was true for 34 countries, and 5 clusters were obtained with 310 links, and total link strength of 758. The size of the circle reflected the number of publications (weights) in the dataset that were associated to the country.

Clusters based on co-authorship of countries according to the authors affiliations (minimum number of documents of a country: 5; items that meet the threshold from a total of 88 countries: 34; clusters: 5; links: 310; total link strength: 758; weights: documents; VOSviewer 1.6.18.) https://tinyurl.com/2m5sdem6

Citation characteristics of clusters based on co-authorship of countries according to the authors’ affiliations

D , number of documents; TC , total citations; AC , average number of citations per year; ANC , average normalized citations

The first cluster was composed practically exclusively of European countries that included Italy, Austria, Ireland, Sweden, Spain, Germany, Belgium, the Netherlands, France, and Singapore. This cluster obtained the higher TC, AC, and ANC, despite it not presented the largest number of documents. An interesting result was that the highest value of ANC was for the only non-European country, Singapore (ANC = 2.48), even with only 5 documents published.

The second cluster consisted of multicontinental cooperation, Oceania, Africa, America, and Asia, composed of the countries, New Zealand, Kenya, Brazil, Pakistan, China, Canada, Malaysia, Bangladesh, and Thailand. The European continent was the only excluded in this cluster. The cluster 2 presented higher ANC when compared to cluster 3, which presented the same number of countries, a greater number of documents and citations, but a smaller percentage of developing countries. This is a strong indicative that developing countries are relevant when it comes to SDG, since there is an exclusive SDG that seeks equality (SDG 10) and this topic remains at the center of global debates (Díaz-López et al. 2021 ; Bose and Khan 2022 ).

The third red central cluster involves England and the USA, the most occurring countries. They are linked to almost all countries. However, they have stronger collaboration with United Arab Emirates, Denmark, Japan, India, Scotland, Norway, and Nepal. Despite the USA and England being among the countries with the highest number of documents, this cluster has the AC and ANC among the least cited, indicating that the large number of documents do not reflect the real impact of the review publications related to the SDGs (Bennich et al. 2020 ).

The fourth cluster comprises South Africa, Mexico, Switzerland, and Nigeria. And again, it shows that documents become more impactful and relevant when there is intercontinental cooperation, as this cluster comprises few countries and documents, but have high AC and ANC. In low- and middle-income countries, limited or non-existent resources are the great challenge for the development of research in all areas of knowledge. On the other hand, the reverse innovation approach (Harris et al. 2020 ) has increasingly encouraged rich countries to research in poor countries. In this context, low-resource environments become an opportunity for study and learning to share with rich countries, generating promising options for new products, processes, or policies, which, by different contexts, can provide solutions to gaps or unresolved challenges (Bhattacharyya et al. 2017 ).

Australia was the third most productive country (Fig.  5 ) and thus, was also linked to almost all analyzed countries. Whereas, Australia is linked especially to South Korea, the fifth cluster entails only two countries with cooperation of 5 documents. Furthermore, South Korea, due to having only link to Australia, presented among the lower ANC. This result is a strong indication that articles produced without internationalization are less relevant (Vrontis and Christofi 2021 ).

The analysis of keywords are essential in reflecting and defining the research contents and can be used to identify the framework of a main research in many areas (Wuni et al. 2019 ). The most relevant keywords co-occurrence were used to investigate the conceptual structure of the SDG literature reviews to identify the prevailing thematic (Pizzi et al. 2020 ). Figure  7 and Table ​ Table5 5 present the results of the co-occurrence analysis of the diversity of 1933 of all keywords from 312 documents analyzed with 6 as a minimum number of occurrences of a keyword, and no minimum number of citations and documents. The map resulted in 93 keywords that met the threshold with 6 clusters, 1250 links, and total link strength of 2036. The size of the circle reflected the number of occurrences (weights) of each keyword in the dataset.

Clusters based on co-occurrence of all keywords (minimum number of occurrences of a keyword: 6; items that meet the threshold: 93; clusters: 6; links: 1250; total link strength: 2036; weights: occurrences; maximum lines: 600, VosViewer 1.6.18) https://tinyurl.com/2gfbs3hk

General characteristics of clusters based on co-occurrence of all keywords

ANC , average normalized citation; SDG , sustainable development goals; 5Ps , Planet, prosperity, people, peace and partnership

* Included keywords with ANC > 1.00

Analyzing the corresponding keywords of the review articles in the co-occurrence map a big cluster was obtained, which, despite being divided into six main clusters, they are very interconnected, indicating that all the keywords are related.

The first cluster is mainly associated with the thematic core of social issues, such as poverty, public health, education, gender equality, and reduced inequalities which reflects to the SDG 1, 3, 4, 5, and 10, respectively. The most frequent keywords in this cluster were policy, Africa, education, poverty, diseases and covid-19 with 28, 28, 16, 15, 12, and 12 occurrences, respectively. However, regarding their ANC, the most influential keywords was middle-income countries . Furthermore, despite this cluster having the largest number of keywords, its ANC is among the smallest. Thus, this is a strong indicative that social issues are not taken as seriously as those dealt with in other clusters.

The second cluster is divided in two main hubs, one for economic growth (SDG 8), production (SDG 12) and innovation (SDG 9) with the keywords Industry 4.0, big data, supply chain , technology, corporate social-reasonability, innovation, management, business , governance, circular economy; and one for climate action (SDG 13) and energy (SDG 7), with the keywords energy, impacts, climate . It is clear that energy and climate are well connected, as the growth of some industrial sectors directly affects the consumption and production of energy and consequently the impacts on the climate. Investigating the normalized words, a hidden key element was observed, the keyword industry 4.0 presented the highest ANC (3.99), which is 3.5 times higher than the average ANC of the analyzed keywords, followed by the keywords big data , supply chain , nexus , strategy , circular economy and technology .

Previous bibliometric studies have reported that research related to the SDGs is focused mainly on health (SDG 3), climate change (SDG 13), food (SDG 2), energy (SDG7), and sanitation (SDG 6) (Meschede 2020 ; Belmonte-Ureña et al. 2021 ; Yeh et al. 2022 ; Londoño-Pineda and Cano 2022 ; Sianes et al. 2022 ). Controversially, the present research found that academic research on SDGs 8, 9, 11, which was considered poorly researched and lacking in consolidated literature (Pizzi et al. 2020 ), obtained greater evidence, despite the number of occurrences and citations that can lead to an erroneous conclusion. This result is very important, as it is possible to observe the rapid growth and the importance of technology to achieve the goals, aiming at profitability and economic growth, in addition to pursuing environmental benefits (Walsh et al. 2020 ).

The third cluster is composed of a miscellaneous of SDG. However, regarding the occurrences of keywords, the keyword health (SDG 3) is central and is the most used keyword in this cluster with 37 occurrences, followed by water (SDG 6), cities (SDG 11), indicators , and sanitation (SDG 6). Furthermore, in regard to the ANC of the keywords, life-cycle assessment (SDG 12), waste management (SDG 11), tourism (SDG 8), industry (SDG 9) presented the higher scores. This result indicates that the most influential keywords in this cluster are related to economic growth, industry, innovation, and production, which are also linked to health conditions and the reduction of impacts on the planet, explaining the occurrence of the keywords, such as emission (SDG 13) and environmental impacts that are also part of this cluster (Rosa and Hassmiller 2020 ).

The keywords food security, agriculture , and food are the most used keywords in the fourth cluster and are associated with SDG 2. Bioenergy (SDG 7) and waste-water (SDG 6) are also present in the fourth cluster and can be also linked to the agricultural and/or food production. Some keywords could be attributed to SDG 15, such as land and soil . However, they possibly refer to land cultivation and therefore, are aiming at higher agricultural productivity, and thus, they were also classified as SDG 2. Furthermore, trade-offs and stakeholders were among the most evident keywords according to the ANC, and are related to the difficulties of implementing the SDG, being the only cluster where the 5Ps category partnership was found (SDG 17). This result indicate that applied research aiming at the implementation of the SDG is being developed.

The most prominent keyword in the fifth cluster is climate-change , with 53 occurrences, followed by ecosystem, adaptation, biodiversity , and gender . This cluster is well-defined and its issues can be assigned mainly to SDGs 13 and 15, and consequently to the 5Ps category, planet. Furthermore, regarding the ANC, it was noted that this cluster presented the lowest ANC, indicating the inferior relevance of the topic among the review articles studied.

No reviews articles related to marine water (SDG 14) were found (with a minimum number of 6 occurrences). Some authors (Bordignon 2021 ) also include freshwater in SDG 14, as being “life below water.” However, in the official document, the 2030 agenda only includes marine life (United Nations 2015 ). Many authors disagree with this distribution, which also causes some disagreements in the classification of SDG 6 on 5Ps, as people or planet. Tremblay et al. ( 2020 ) addressed this issue in his paper and proposed a relative distribution of the 5 Ps among the 17 SDGs according to the targets, whereas for SDG 6, about 40% corresponded to planet and 31% to people. Therefore, the lack of review articles on SDG 14 indicates a research gap in this field.

The sixth and last cluster includes the keywords, Electricity, greenhouse-gas, emissions, renewable energy, barriers, developing-countries that can be attributed to the SDGs 7, 10, and 13. International collaborative studies between developing countries and high-income countries were reported previously (Fig.  6 ). These collaborations are important for understanding the dynamics that affect developing countries due to the mixed and complicated impacts on achievement of SDG (Sianes et al. 2022 ). In this cluster, the most frequent keyword was developing-countries ; however, the ones with the highest ANC were electricity and greenhouse-gas emission , while developing-countries was the one with the lowest ANC, indicating assuredly that the number of citations is not an adequate method for measuring subject relevance (Simko 2015 ).

In addition, the SDG 16, peace, justice, and strong institutions , showed to be a major gap in the research on SDG literature reviews. This topic is directly related to society, policies and governments, and plea for global peace. The targets also aim to reduce violence, corruption, bribe, exploitation, trafficking, torture, abuse, illicit arms, organized crime, and also develop international cooperation, participatory, and inclusive decision-making, inclusive (United Nations 2015 ).

Armed conflicts pose serious threats within the reach of the SDGs. As an example, the Russian-Ukrainian armed conflict is a dramatic world event that, in addition to the loss of life, impacts the environment, economy, and society. Both in countries directly involved, as well as in other countries, especially in developing countries, which are more vulnerable to the economic crisis. The negative regional and global impact could weaken the ability of many nations to achieve the SDGs by 2030, and could even make them unattainable (Pereira et al. 2022 ).

Conclusions

This bibliometric analysis provided the perspective of the status and evolution of research trend in the domain of SDG, with special emphasis on literature reviews regarding the fulfillment and consolidation of the agenda 2030. The revealed conclusions were:

• An increasing trend in publications of SDG literature reviews was observed with a growing diversification in research areas.
• Most of the review documents were categorized in general aspects of sustainability. In addition, most of relevant sources were associated with energy, multidisciplinary, and also general aspects of sustainability.
• The most-cited documents and the most relevant sources indicated that the SDG with the greatest relevance was related to artificial intelligence (SDG 9) according to normalized citation analysis.
• The results of bibliographic coupling demonstrated the lack of integration between the research, even when within the same research area.
• England, the USA, and Australia were the most productive countries in SDG review articles. However, countries with intercontinental collaboration and with collaboration with developing countries showed greater relevance.
• The terms with the highest values of keywords occurrences were health (SDG 3), climate change (SDG 13), food (SDG 2), energy (SDG 7), and water (SDG 6).
• The keywords co-occurrence analysis spotted technology (SDG 9) and economic growth (SDG 8) as hidden key elements and with the greatest relevance among the analyzed keywords.
• An imbalance between the different SDG was observed among academic research, and the main gaps found were for literature reviews on reduced inequalities (SDG 10), gender equality (SDG 5); oceans, seas, and marine environments (SDG 14); and related to peace, justice, and strong institutions (SDG 16).

Finally, the analysis revealed that the proposed methodology using bibliometric analysis of literature reviews presented different results when compared to previous reports in which a large number of documents was analyzed. The SDG is highly complex due to the many targets involved, trade-offs, and its multidisciplinary aspects. Therefore, future research should be directed to fulfill this gap through the development of more effective and reliable methods to verify the evolution of SDG in each area of research. Furthermore, the conceptualization and implementation of a theoretical framework that can be used in a generic way and also that describe standalone research areas to analyze the SDG considering their complexity will be also needed. In addition, it was observed that much research is still very disciplinary. Therefore, another future opportunity observed was the inclusion of more direct inter-linkages between certain SDG and practical applications. Thus, all research should be associated with the SDG, so that the efforts would be focused on achieving the agenda 2030, and a paradigm shift, practical, interdisciplinary actions with a system thinking perspective are necessary.

Author contribution

All authors contributed to the study conception and design. Investigation, methodology, data collection, and analysis were performed by Natália Ueda Yamaguchi, Eduarda Gameleira Bernardino, Maria Eliana Camargo Ferreira, Bruna Pietroski de Lima, Mauro Renato Pascotini, and Mirian Ueda Yamaguchi. The first draft of the manuscript was written by Natália Ueda Yamaguchi and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

This work was supported by Cesumar Institute of Science, Technology and Innovation, Cesumar University (ICETI, Brazil).

Data availability

Declarations.

Not applicable.

The authors declare no competing interests.

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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• Published: 12 November 2019

Sustainable Development Goals (SDGs): Are we successful in turning trade-offs into synergies?

• Christian Kroll   ORCID: orcid.org/0000-0001-9954-6123 1 ,
• Anne Warchold 2 &
• Prajal Pradhan   ORCID: orcid.org/0000-0003-0491-5489 2  

Palgrave Communications volume  5 , Article number:  140 ( 2019 ) Cite this article

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The Agenda 2030 with its 17 Sustainable Development Goals (SDGs) provides the framework that all United Nations (UN) member states have pledged to fulfill. The achievement of this agenda crucially depends on whether humankind will be able to maximize synergies and resolve existing trade-offs between the SDGs. We provide the first analysis of future interactions for projected SDG trends until 2030 within and between goals, and we analyze how trade-offs and synergies have evolved in the recent past globally. For certain goals, we find positive developments with notable synergies in our projections, especially for SDGs 1, 3, 7, 8, and 9: Poverty alleviation and strengthening the economy, rooted in innovation, and modern infrastructure, therefore continue to be the basis upon which many of the other SDGs can be achieved. However, especially SDGs 11, 13, 14, 16, and 17 will continue to have notable trade-offs, as well as non-associations with the other goals in the future, which emphasizes the need to foster innovations and policies that can make our cities and communities more sustainable, as well as strengthen institutions and spur climate action. We show examples of a successful transformation of trade-offs into synergies that should be emulated in other areas to create a virtuous cycle of SDG progress. The alarming inability to overcome certain persistent trade-offs we have found, and indeed the deterioration for some SDGs, can seriously threaten the achievement of the Agenda 2030.

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Introduction.

The Agenda 2030 with its 17 Sustainable Development Goals (SDGs) provides the framework that all 193 United Nations (UN) member states have pledged to achieve (United Nations, 2015 ). Unlike previous development agendas that put an emphasis on economic growth, the SDGs are a universal framework that contains many potentially diverging policy goals in the economic, social, and environmental sphere, while some goals are thought to be mutually supportive. The achievement of the agenda crucially depends on whether we will be able to maximize such synergies and resolve the existing trade-offs.

To shed light onto this important topic, research is beginning to examine the interlinkages between the 17 goals (Lu et al., 2015 ; Schmidt et al., 2015 ; Pradhan, 2019 ; Breuer et al., 2019 ). Previous studies prior to the SDGs had already looked at interlinkages, for instance, between climate change adaptation and mitigation response (Smith and Olesen, 2010 ); poverty alleviation (Mathy and Blanchard, 2016 ); meeting the Millennium Development Goals (MDGs) (Bue and Klasen, 2013 ); and balancing economic development, environmental sustainability, and social inclusion for human well-being (Ibisch et al., 2016 ; Sachs, 2012 ). With the SDGs, however, a new level of opportunities for classifying interactions has emerged so that these issues can be examined more systematically in the future (Costanza et al., 2016 ; Rickels et al., 2016 ; Nilsson et al., 2016 ). The first complete quantification of synergies and trade-offs within and across the SDGs was provided by Pradhan et al. ( 2017 ). It was found that SDG 1 ( No poverty ) has synergetic relationship with many goals, while SDG 12 ( Responsible consumption and production ) is associated with trade-offs, especially regarding economic progress. A similar pattern was found in a more recent study by Lusseau and Mancini ( 2019 ) who reported that “limiting climate change, reducing inequalities and responsible consumption are key hurdles to achieving 2030 goals across countries [while] […] poverty alleviation and reducing inequalities will have compound positive effects on all SDGs”. Modeling three alternative policy pathways (technology, lifestyle change, and decentralized governance) for achieving SDG targets, these alternative development paths lead to synergies that enhance target achievement, while others lead to trade-offs (Moyer and Bohl, 2019 ). Additional studies have highlighted selected aspects of SDG interactions, such as between energy (SDG 7) and other SDGs (Nerini et al., 2018 ), or between selected social and environmental goals (Scherer et al., 2018 ), or with a case study to facilitate the prioritization of SDG targets for 22 countries in the Arab region (Allen et al., 2019 ), or at the local level in Sweden for selected SDG interactions (Engström et al., 2019 ), or relating urban scaling with SDG 11 ( Sustainable cities and communities ) indicators (Akuraju et al., 2020 ).

Although such studies of a snapshot in time on interactions are helpful to assess the current state of the challenge, in the end the world community’s ability to achieve Agenda 2030 will crucially depend on whether over time trade-offs across the entire spectrum of the SDGs can be minimized and synergies can be maximized. Therefore, this study examines whether countries are currently good enough at dealing with these interlinkages based on extrapolated developments in the recent past in relation to the level needed for SDG achievement by 2030: How have interactions within and between the 17 SDGs across countries evolved over time? Are we successful in moving from trade-offs to synergies at the rate that is necessary to achieve the goals? We analyze how trade-offs and synergies between the goals have developed between 2010 and 2018. Most importantly, we provide the first analysis of future interactions for projected SDG trends until 2030. The most significant added value to the literature of our study is therefore that it fills a gap by being the first analysis to use SDG trends to calculate projected SDG interactions in the future. Given the increased focus in recent years on the need for synergies between economic, social, and environmental progress (in addition to the studies mentioned earlier in this section, see e.g. Stiglitz et al., 2009 , 2018 ), we hypothesize that synergies between these three spheres of progress will occupy a larger portion in our projections of the interlinkages until 2030 than trade-offs. Table  1 lists all SDGs and their full titles.

Data and method

The SDG Index and Dashboards database provides globally available data at country level on SDG indicators from 2010 to 2018 (Sachs et al., 2018 ). This is the first study on SDG interactions using the SDG Index and Dashboards report data which has been described as “the most comprehensive picture of national progress on the SDGs and offers a useful synthesis of what has been achieved so far” (Nature Sustainability Editorial, 2018 ). The database contains data for 193 countries with up to 111 indicators per country on all 17 SDGs (as of 14 May 2019; detailed information, including the full list of indicators and the raw data used here are available from www.sdgindex.org ; see also Schmidt-Traub et al., 2017 for the methodology). In order to avoid discussions associated with the aggregation of the goals into a single number (Diaz-Sarachaga et al., 2018 ), we do not use the aggregated SDG Index score in this paper but only scores for the separate goals.

Interactions can be classified as synergies (i.e. progress in one goal favors progress in another) or trade-offs (i.e. progress in one goal hinders progress in another). We examine synergies and trade-offs to the results of a Spearman correlation analysis across all the SDG indicators, accounting for all countries, and the entire time-frame between 2010 and 2018. We thereby analyze in the main analytical section (section “Interactions between SDGs”) up to 136 SDG pairs per year for 9 consecutive years minus 69 missing cases due to data gaps, resulting in a total of 1155 SDG interactions under study.

In a first analysis (section “Interactions within SDGs”), we examine interactions within each goal since every SDG is made up of a number of targets that are measured by various indicators. In a second analysis (section “Interactions between SDGs”), we then examine the existence of a significant positive and negative correlations in the SDG performance across countries. We conduct a series of cross-sectional analyses for the period 2010–2018 to understand how the SDG interactions have developed from year to year. We use correlation coefficient (rho value) ± 0.5 as the threshold to define synergy and trade-off between an indicator pair. An association is considered to have at least moderate relationship when the rho value is >0.5 or <−0.5 (Smarandache, 2009 ). The development on SDG interactions identified based on maximum change occurred in the shares of synergies, trade-offs, and no relations for SDG pairs between 2010 and 2018. All variables were re-coded in a consistent way towards SDG progress to avoid false associations, i.e. a positive sign is assigned for indicators with values that would have to increase for attaining the SDGs, and a negative sign in the opposite case. Our analysis is therefore applying a similar method as described by Pradhan et al. ( 2017 ) in so far as we are examining SDG interlinkages as synergies (positive correlation) and trade-offs (negative correlation). However, in important contrast to the aforementioned paper, we do not investigate SDG interactions within countries longitudinally, but instead we carry out cross-sectional investigations across countries on how the global community’s ability to manage synergies and trade-offs has evolved over the last 9 years, as well as projected SDG trends until 2030. We therefore examine global cross-sectional country data. An advance of such a global cross-sectional analysis is that it can compare the status of different countries at a given point in time, covering the SDG interactions over the whole range of development spectrum from least developed to developed ones. The longitudinal analysis covers only the interactions occurred within a country for the investigated period. Moreover, we repeat this global cross-sectional analysis for a number of consecutive years. Another novel contribution of this study is therefore to highlight how such global SDG interactions have evolved in the recent years. Finally, by resorting to the SDG Index database for the first time in the research field of SDG interactions, we use a more comprehensive dataset than was used in Pradhan et al. ( 2017 ).

In the last analytical section (“Interactions in the projected SDG trends until 2030”), we provide the first examination of how interlinkages between the projected trends in the SDGs will evolve until 2030. Based on SDG country performance from 2010 until 2015, Sachs et al. ( 2018 ) have calculated linear trajectories for the SDGs with respect to the level that will be required to achieve each goal by 2030. An important feature here is that the development in each country and goal from 2010 to 2015 up until the year 2030 is not only extrapolated but for the final score also set in relation to the level needed for SDG achievement by then. More precisely, all available data points between the years 2010 and 2015 were gathered by Sachs et al. ( 2018 ), and then their development over said period was extrapolated into the future. The linear annual growth rates (i.e. annual percentage improvements) needed to achieve each SDG by 2030 was compared to the actual average annual growth rate in each country and indicator over the period 2010–2015 (with some exceptions). The overall goal trends are an arithmetic average of the rescaled values for all trend indicators under the respective goal. This projection results in a five-point scale variable with the following classification: “decreasing” (country score is moving away from SDG achievement on this indicator), “stagnating” (country score remains stagnant or is improving at a rate below 50% of what is needed for SDG achievement by 2030), “moderately increasing” (country score is increasing at a rate above 50% but below the rate needed for SDG achievement by 2030, “on track” (score is improving at the rate needed for SDG achievement by 2030), “maintaining goal achievement” (country score is level and remains at or above SDG achievement). More details on the calculation method are available in Sachs et al. ( 2018 ). We perform the first analysis of future interactions for this new variable by assessing the synergies and trade-offs between future SDG achievement trends until 2030. Additionally, we investigate the projected SDG interactions for different income groups (low/middle/high-income countries as categorized by the World Bank) to identify similarities and differences among the income groups regarding future SDG achievement trends. In order to do so, as the first step we group the five scores into three categories to reflect their progress towards SDG achievement. If the indicator trend is classified as “decreasing”, we assign a value −1. The “stagnating” score trend is given a value 0. Since the rest of the categories (“moderately increasing”, “on track”, and “maintaining SDG achievement”) reflect positive developments towards the SDGs, we assign to them a value of 1. We then analyze interactions by multiplying these assigned values, leading to the following three outcomes: synergies (1), not-classified (0), and trade-offs (−1). Akin to the previous section, this procedure is first conducted within each SDG using its component sub-indicators, followed by an analysis of interactions between the 17 SDGs.

Interactions within SDGs

Each SDG in itself is an umbrella term that can be multi-faceted and contain numerous policy goals (United Nations, 2015 ). For example, SDG 7 ( Affordable and clean energy ) calls for “access to affordable, reliable, sustainable, and modern energy for all”. This leads to the question of potential trade-offs and synergies also within each SDG, for instance between affordable and sustainable energy, which we address here first of all, and we examine their evolution over time. We observe a mixture of results on interactions within SDGs for the period under study 2010–2018: (i) increase in synergies, (ii) growing trade-offs, and (iii) diluting associations within an SDG (Fig.  1 ).

Interactions within SDGs from 2010 to 2018. The color bars represent the shares of trade-offs (orange), synergies (green), and not-classifieds (yellow) observed within a goal. The gray bar depicts insufficient data for the analysis

The majority of goals show synergies between their component sub-indicators that are relatively stable over time. Interestingly, regarding SDG 1 ( No poverty ), SDG 2 ( Zero hunger ), and SDG 5 ( Gender equality ) they have emerged only recently. Before 2016, only weak associations can be observed within these goals. Interactions within SDG 5 have even flipped for a share of trade-offs to synergies between 2016 and 2017. In SDG 2, a mixed share of synergies and trade-offs are observed after 2016, with an increased share of synergies and decreased share of trade-offs. This is a positive sign for a successful implementation of the 2030 Agenda.

Trade-offs are prevalent in particular for SDG 13 ( Climate action ) and SDG 7 ( Affordable and clean energy) , illustrating the difficulty in aligning even the components within a single goal. In the case of SDG 7 these trade-offs have only emerged in 2017 while before the components were in a synergetic relationship with each other. Similarly, for SDG 11 ( Sustainable cities and communities ) mostly weak associations are observed before 2017 that have given way to trade-offs in the recent past. These results illustrate that for certain goals new challenges have arisen regarding successful SDG implementation.

Finally, interactions within many SDGs show that the associations among the indicators have been diluted across time, e.g., within SDG 3 ( Good health and well-being ), SDG 4 ( Quality education ), SDG 6 ( Clean water and sanitation ), SDG 8 ( Decent work and economic growth ), SDG 10 ( Reduced inequalities ), SDG 16 ( Peace, justice and strong institutions ), and SDG 17 ( Partnerships for the goals ). In these cases, shares of synergies have mainly been reduced by increases in shares of not-classified associations in these goals. Such diluting associations show the difficulty of maintaining intra-goal synergies, and might also be due to disproportional progress towards the goals and their targets among the countries.

Interactions between SDGs

Changes in synergies between sdgs.

We turn to interactions between the SDGs and examine 136 SDG pairs over 9 consecutive years, which can be classified into changes in (section “Changes in synergies between SDGs”) synergies, (section “Changes in trade-offs between SDGs”) trade-offs, and (section “Changes in strength of associations between SDGs”) strength of associations. Figure  2 displays the significant increases in the share of synergies (left) and the significant decreases in the share of synergies (right). Between 2010 and 2015, we observe an increase in a share of synergies for nine SDG pairs. This finding is driven by two mechanisms: (i) a decrease of trade-offs and (ii) a strengthening of associations. For example, the indicators for SDG 2 and SDG 6 shows an increase in synergies mainly due to the breaking away of trade-offs. Both SDGs were also part of the MDGs and many countries have made progress on these goals during the MDG period, which might contribute to this increase in synergies. Another such positive example can be seen in the interactions between SDG 13 and SDGs 6, 7, 9, 11, and 16. A large share of trade-offs was converted into synergies in the recent years because of efforts to reduce emissions per capita and reconcile climate action with economic and social outcomes. However, many significant trade-offs remain, as well as in fact a long way to go to meet the well below 2 °C global warming target. Meanwhile, a strengthening of positive associations can be observed, for example, between SDGs 5 and 16.

Changes in synergetic association among the SDGs with an increased share of synergies (left) and a decreased share (right). The color bars represent the shares of trade-offs (orange), synergies (green), and not-classifieds (yellow) observed within a goal. The gray bar depicts insufficient data for the analysis

During the same period, we observe a higher number of 15 SDG pairs with a decrease in a share of synergies compared to the nine SDG pairs with an increase in synergies. In most cases, synergies have decreased due to diluting associations between SDG pairs. For example, SDG pair 3–7, 4–7, and 8–16 has shown almost 100% synergies in 2010, which has been reduced to <50% by 2018. This might be alarming in two senses: (i) positive associations might be vanishing and negative ones might be building up and (ii) countries might be having different paces in attaining the SDGs that can increase inequalities between the countries. Increases in trade-offs with a decrease in synergies can already be observed for several SDG pairs, i.e., 1–16, 3–7, 4–7, and 11–17.

Changes in trade-offs between SDGs

Following on a decrease in share of synergies, we observed an increase in the share of trade-offs (Fig.  3 ). In line with the previous sub-section, the number of SDG pairs where trade-offs are increasing (15) is higher than those which are decreasing (9). In most of cases, the mechanism underneath the deterioration is that weak associations among the goals have evolved to trade-offs, e.g. SDG pairs 1–7, 1–15, 8–15, 15–16. These trade-offs are particularly alarming and could hinder the achievement of SDGs. Therefore, a deep investigation for the caused for this is needed in future in-depth research. A good news is reducing trade-offs between some SDGs in this decade, mainly between SDG 13 and SDGs 1, 2, 3, 4, and 5. In this case, trade-offs have been converted to either synergies or weak associations.

Changes in conflicting associations among the SDGs with an increased share of trade-off (left) and a decreased share (right). The color bars represent the shares of trade-offs (orange), synergies (green), and not-classifieds (yellow) observed within a goal. The gray bar depicts insufficient data for the analysis

Changes in strength of associations between SDGs

Between 2010 and 2018, we also observed an increase in weak association among 36 SDG pairs (Fig.  4 ). Most cases are of weakening synergies among the SDG pairs. For example, SDG pairs 1–2, 1–3, 1–4, 1–6, and 1–10 have mostly synergistic relations (a share of more than 66%) in the beginning of the decade, however, the share has decreased up to 40% in these goal pairs, sometimes with an appearance of trade-offs. Nevertheless, weakening of trade-offs has also been observed for some SDG pairs, e.g., 1–14, 2–3, 2–7, 4–5, 2–11, 5–6, and 10–14.

Changes in strength of associations among the SDGs with an diluted association (left) and a strengthened one (right). The color bars represent the shares of trade-offs (orange), synergies (green), and not-classifieds (yellow) observed within a goal. The gray bar depicts insufficient data for the analysis

By contrast, for some SDG interactions the associations, strengthened relations can be observed over time. These are due to an increase in synergies, trade-offs or both. For example, SDG pairs 4–8, 6–9, 6–16, and 7–8 shows strengthening synergistic associations, while associations between SDG 15 and SDGs 2, 3, 9, 11, and 17 evolve toward an increase in trade-offs. For the pairs, SDGs 2–8, 2–16, 6–15, 7–15 and 13–15, both share of synergies and trade-offs increase between 2010 and 2018.

Interactions in the projected SDG trends until 2030

Looking ahead to the year 2030, the question arises how the performance on the SDGs will evolve over time and in particular the interactions between them. Figure  5 displays the results from the first interaction analysis of future SDG trends based on a projected trend variable that extrapolates the development in each country and goal from 2010 to 2015 up until the year 2030 and crucially relates it to the level needed for SDG achievement by then (as opposed to a mere extrapolation).

Interactions between sub-indicators within (left) and between (right) projected SDG trends until 2030. The color bars represent the shares of trade-offs (orange), synergies (green), and not-classifieds (yellow) observed within a goal. The gray bar depicts insufficient data for the analysis. The numbers in the boxes represent the number of data pairs used for each analysis. Icon images courtesy of United Nations

In line with our analysis in the section “Interactions within SDGs”, we begin by examining the sub-indicators within each SDG (Fig.  5 , left), since they are often multi-faceted goals in themselves. With regard to the projected developments until 2030, the largest trade-offs that will need to be solved within the SDGs concern SDGs 2 ( Zero hunger ), 11 ( Sustainable cities and communities ), and 14 ( Life below water ). By contrast, the most synergetic elements are to be found within SDGs 3 ( Good health ), 7 ( Affordable and clean energy ), 8 ( Decent work and economic growth ), 9 ( Industry, innovation , and infrastructure ), and 16 ( Peace, justice , and strong institutions ). No results can be obtained here for goals that have insufficient trend data (SDG 10 and 12), or contain only one trend indicator (SDG 1 and 13), respectively.

Figure  5 (right) shows the interactions between projected SDG trends until 2030. It turns out that SDG 1 (No poverty) will have the most synergetic relationships with other SDGs on our way to 2030. We also expect SDGs 3 ( Good health ), 7 ( Affordable and clean energy ), 8 ( Decent work and economic growth ), and 9 ( Industry, innovation and infrastructure ) to have significant synergies with the other goals. The strongest mutually reinforcing relationships in our projections are between the following SDG pairs: 1–3, 1–7, 1–8, 1–9, and 8–9. Poverty alleviation and strengthening the economy, rooted in innovation and modern infrastructure, therefore continue to be the basis upon which many of the other SDGs can be achieved. However, trade-offs are still strongest for SDG 11 ( Sustainable cities and communities ) followed by SDGs 14 ( Life below water ), 16 ( Peace, justice, and strong institutions ) and 17 ( Partnerships for the goals ), and 13 ( Climate action ). In particular, the SDG pairs 9–11 and 11–13 constitute large trade-offs. This finding emphasizes the need to invest in research to foster innovations that can make our cities and communities more sustainable, as well as climate-friendly.

We extend the analysis of interactions between the projected SDG trends by examining high-income countries (HICs) (Fig.  6 ), middle-income countries (MICs) (Fig.  7 ), and low-income countries (LICs) (Fig.  8 ) separately. When examining the sub-indicators within each SDG (left-hand side of Figs  6 – 8 ), it becomes evident that the overall picture is very similar across all income groups: Countries will face similar challenges with regard to intra-goal consistency regardless of their current stage of development. The only notable differences concern SDGs 6 ( Clean water and sanitation ) and 15 ( Life on land ). For SDG 6, no synergies can be observed for HICs but their share rises for MICs and especially LICs. This finding lends support to the notion that as countries develop, the pressure to provide accessible and yet sustainable water systems will intensify in the future. By contrast, HICs show synergies regarding SDG 15 that are weaker for MICs and almost non-existent for LICs. Biodiversity protection is therefore beginning to pay off in developed regions, while the conditions for Life on land are projected to become more difficult especially in MICs and LICs. This finding sheds a light of urgency onto current public discussions around protecting green spaces, such as the Amazon forest versus economic interests.

Interactions between sub-indicators within (left) and between (right) projected SDG trends until 2030 for high-income countries. The color bars represent the shares of trade-offs (orange), synergies (green), and not-classifieds (yellow) observed within a goal. The gray bar depicts insufficient data for the analysis. The numbers in the boxes represent the number of data pairs used for each analysis. Icon images courtesy of United Nations

Interactions between sub-indicators within (left) and between (right) projected SDG trends until 2030 for middle-income countries. The color bars represent the shares of trade-offs (orange), synergies (green), and not-classifieds (yellow) observed within a goal. The gray bar depicts insufficient data for the analysis. The numbers in the boxes represent the number of data pairs used for each analysis. Icon images courtesy of United Nations

Turning to interactions between projected SDG trends until 2030 by income group (right-hand side of Figs  6 – 8 ), we see again a similar picture overall for all stages of development. It becomes evident, however, that for certain goals the share of projected trade-offs is lower compared to MICs and especially LICs. This is especially true for SDG 6 ( Clean water and sanitation ) and SDG 13 ( Climate action ). In other words: The pressure on pursuing climate action as well as clean water and sanitation that is not detrimental for achieving the other goals is likely to rise especially for LICs in the coming years. Unless HICs provide the technical and financial assistance necessary to let LICs benefit from state-of-the-art solutions in this regard, the development gap will rise even more at the expense of the planet and all its inhabitants—rich and poor.

Discussion: Towards a virtuous cycle of SDG progress

This study asked the timely questions: How have interactions within and between the 17 SDGs across countries evolved over time? Are we successful in moving from trade-offs to synergies? Most importantly, we provided the first analysis of interlinkages for projected SDG achievement trends until 2030.

For some goals we found positive developments with diminishing trade-offs and increasing synergies with other SDGs. This was particularly strong, for example, for SDG interactions between SDG 13 ( Climate action ) and SDG 9 ( Industry, innovation and infrastructure ), as well as SDG 13 and SDG 11 ( Sustainable cities and communities ). Such findings provide some support to the notion that climate-friendly infrastructure is beginning to spread, which not only improves the quality of life in cities and communities but mitigates the dangers of global warming, although our data do not provide evidence of a causal link. Likewise, synergies have begun to emerge in the recent past between SDG 5 ( Gender equality ) and SDG 16 ( Peace and justice, strong institutions ) indicating to some extent that as countries are getting better at providing strong institutions, this development may be beneficial to equality between men and women, or vice versa. In any event, such efforts will have to be significantly intensified over the next decade in order to reach the SDGs, and in these particular examples also the Paris Climate Accord and long overdue gender equality, respectively. Nonetheless, these best practices of turning trade-offs into synergies (see Fig.  2 left, Fig.  3 right, Fig.  4 right) may inform a learning process rooted in more in-depth research to expand the lessons onto other goals with more persistent trade-offs.

For numerous SDG interactions, though, the synergies are diminishing and trade-offs as well as non-associations are increasing. This worrying finding was particularly strong for the interactions, for instance, between SDG 7 ( Affordable and clean energy ) and SDG 1 ( No poverty ), as well as SDG 7 and SDG 3 ( Good health and well-being ). This means that as countries manage to lift millions out of poverty and provide much-needed health care, the demands on affordable and clean energy currently rises at a rate that jeopardizes progress regarding the Agenda 2030. Further investments in smart solutions and research on energy supply that can meet these new demands without putting too much pressure on planetary boundaries will be needed in the future.

Comparing our cross-sectional analysis with longitudinal analysis performed by Pradhan et al. ( 2017 ), we obtained similarities and differences. Our findings are similar in the sense that we also found, overall, a larger share of synergies than trade-offs within and across the goals. Both studies also highlight that eliminating poverty (SDG1) and improving health and well-being (SDG3) will have large synergies with other goals. However, one of the key differences is that we observed a larger share of not-classified associations in our cross-sectional analysis in comparison to the results of the longitudinal analysis by Pradhan et al. A reason for this is that our cross-sectional analysis covers a large spectrum of data from the whole range between developed and developing countries. By contrast, the aforementioned longitudinal analysis only has a comparatively narrow range of countries for the investigated period.

We provided the first analysis of future interactions between projected SDG trends until 2030, and found that SDG 1 ( No poverty ) will have the most synergetic relationships with other SDGs. In clear terms, this means that eliminating extreme poverty in developing countries and reducing relative poverty in more advanced nations will be a policy strategy that, given limited resources and the need for prioritization, will yield the most significant benefits beyond just this one policy goal of No poverty . Focusing on SDG 1 would therefore be the most promising strategy to ultimately start-off a virtuous cycle of SDG progress. For example, a family that no longer suffers from extreme poverty (SDG1) will be able to lead healthier lives for themselves and others, halting the spread of infectious diseases (SDG 3), contributing to a stronger economy (SDG 8), raising the means of implementation through tax payments (SDG 17) which will in turn enable public investments in infrastructure (SDG 9), which will provide education and other important services (SDG 4). The key challenge for policymakers here will then be to emulate such synergetic relationships with respect to other goals.

Despite those strong synergies, however, we were able to show that all SDG interactions between projected SDG trends until 2030 still contain a significant portion of trade-offs. This outlook into the future gives further reason for concern, and indeed casts a shadow on even most of the positive findings from our analysis of the past and present, for example regarding SDG 13 ( Climate action ). While we had hypothesized that synergies will occupy a larger portion in our projections of the interlinkages than trade-offs, the results indicated a nuanced picture with notable synergies for SDGs 1, 3, 7, 8 and 9, while especially SDGs 11, 13, 14, 16, and 17 are likely to have notable trade-offs with the other goals going forward.

Further distinguishing by income group has shown that, overall, countries will face similar challenges in terms of projected trade-offs and synergies across all stages of development. There were notable differences, however, especially to the detriment of LICs in the projected trade-offs for SDGs 6 ( Clean water and sanitation ) and 13 ( Climate action ) being larger than in HICs. This finding provides both an imperative and incentive for the latter to step up their technical and financial efforts to let LICs benefit from the latest advances which are already being implemented in HICs, e.g. in terms of the growing accessibility and affordability of solar panels in order to reduce emissions. It is very much in the interest of the rich countries themselves given the potentially harmful effects of a lack of climate protection by the growing populations in MICs and LICs on the HICs.

Our analysis is limited by the availability of data, which remains a challenge in SDG monitoring. A number of data gaps persist that prevent us from analyzing several SDG interactions, and the number of available SDG indicators fluctuates. Further efforts must be made by data providers to close these gaps in the future. This is especially important given the fact that 2015 is the baseline year in which the SDGs were signed into action, and most synergies/trade-offs will materialize with a time lag. We also emphasize that the method used in our paper, Spearman’s correlation, is useful to establish empirically whether improvements in one SDG go together with improvements (synergy) or deteriorations (trade-off) in another SDG. The method does not, however, allow us to determine causation. Where the terms of synergy and trade-off are used in our study, it happens in an understanding that causation is potentially from a to b, b to a, or both ways. This approach is in line with other studies on SDG interactions as quoted in our paper. In order to establish causation in the large number of interactions examined here, comprehensive additional analyses over time are required. They go beyond the scope of this paper but should be performed in future research (in a series of papers given the complexity of the task), and we hope to have sparked research along those lines with our initial inquiry.

In future research, we additionally recommend that the complexity of the SDG system be represented not only by a series of pairwise interactions but as a network, where both direct and indirect interactions produce synergies and trade-offs. The analysis according to income groups provides promising avenues for future research, and should in fact be complemented in the future by analyses that distinguish not just by income group but also by region or political system, for instance. Nonetheless, we hope that our initial findings present a useful inspiration for examining in more detail the promising patterns we have identified.

Our results may have important implications for global institutions, first and foremost the UN High-level Political Forum on Sustainable Development (HLPF), where countries meet annually to review progress on the SDGs. While the country-led Voluntary National Reviews (VNRs) are now an established tool to showcase what each country is doing in terms of progressing towards Agenda 2030 using a basket of indicators, a perspective on the interlinkages between the goals is still missing despite being crucial to the fulfillment of the goals as our study indicates. The review process of the HLPF should therefore require countries to report on what is the status of SDG interlinkages in their country (in terms of existing and projected synergies and trade-offs), as well as to outline a policy strategy to deal with these interlinkages. Country processes of SDG implementation, as well as coordination mechanisms by international organizations on Agenda 2030 should make more use of the findings on SDG interlinkages. For example, by using the evidence as a tool to inform budget allocation with a view to maximizing effect of the money spent. Likewise, research on the SDGs should by default take into account the fact that there are important interlinkages between the goals, and incorporate such effects into analytical design as well as the formulation of implications.

All in all, our findings offer a starting point for how researchers and policymakers can resolve the challenge of interactions between the SDGs, in particular regarding the persistent issue of trade-offs. We have identified best practices where it has been possible over the last 9 years to turn trade-offs into synergies. Further research should build on these successful examples and explore in depth the drivers and mechanism that enabled them. At the same time, we have found evidence of a widespread and alarming inability to overcome trade-offs and indeed a deterioration in this regard for certain SDGs. Further research into how these trends can be reversed is urgently needed as otherwise they will seriously threaten the achievement of the UN Agenda 2030.

Data availability

The datasets analyzed during the current study are available from www.sdgindex.org .

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Acknowledgements

CK and PP designed study; CK, AW, and PP collected and analyzed data; CK and PP wrote manuscript. The authors gratefully acknowledge financial support from the Potsdam Institute for Climate Impact Research and Bertelsmann Stiftung. AW acknowledges funding from the German Federal Ministry of Education and Research (BMBF) for the SUSFOOD project (grant agreement No. 01DP17035). PP acknowledges funding from the German Federal Ministry for the Environment, Nature Conservation, Building, and Nuclear Safety for the I-CCC project (Contract No. 81227263) and the European Union’s Horizon 2020 research and innovation program under for the European calculator project (grant agreement No. 730459).

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Kroll, C., Warchold, A. & Pradhan, P. Sustainable Development Goals (SDGs): Are we successful in turning trade-offs into synergies?. Palgrave Commun 5 , 140 (2019). https://doi.org/10.1057/s41599-019-0335-5

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• Published: 15 September 2021

Achieving sustainable development goals from the perspective of solid waste management plans

• K. M. Elsheekh   ORCID: orcid.org/0000-0001-7257-3201 1 , 2 ,
• R. R. Kamel 2 ,
• D. M. Elsherif 1 &
• A. M. Shalaby 2  

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Achieving the Sustainable Development Goals (SDGs) by 2030 ad is one of the challenges and among the cross-cutting issues that countries around the world strive to achieve, despite it is not mandatory, to take control of the various negative environmental, economic, social, and urban impacts that threatened cities, in addition to benefits that are realized from achieving it. The research aims to promote the achievement of Sustainable Development Goals from the perspective of solid waste management (SWM) plans and programs, through analyzing and finding the interrelationship between SWM plans and programs and the related specific targets for each goal, in addition to using experts’ questionnaires to conclude the varying degrees of impact of SWM plans and programs at the level of 17 SDGs, which have been classified into groups, according to the most and the least affected by the SWM plans and programs. Where the goals of “sustainable cities and communities” and “good health and well-being” came in the lead of the goals; however, the goals of “quality education” and “peace, justice, and institutions” came in the tail of the goals that are affected by SWM plans and programs, according to the experts’ opinion.

Introduction

Rapid growth and urbanization processes in developing countries over the past decades have negatively affected cities, such as high rates of poverty and unemployment; problems related to providing infrastructure and social services, in addition to environmental problems and depletion of local resources; and other negative economic, social, and environmental impact be annexed on cities. Therefore, the need for achieving the Sustainable Development Goals appeared in all countries.

SDGs address not only the measurable changes in the well-being of people, economic development of countries, and better environment on the planet but also the means of how these changes shall be induced, in addition to enabling an environment of peace and security and rule of law and conditions for inclusion and participation [ 1 ]. All sectors of development can contribute to achieving SDGs, and every contribution, small or big, will make an impact on our world. Integrated solid waste management (ISWM) is one of the systems that can contribute to achieving 17 SDGs; it can act as a strong driver for achieving a wide range of specific target of goals, whether directly or indirectly.

The research focuses on the role of ISWM in achieving SDGs; it aims to observe the impact of solid waste management plans and programs on achieving the seventeen sustainable development goals and identifying the sustainable development goals that are the most/the least affected by solid waste plans and programs. The methodology of the research is based on two parts, the first part discussing “the concept of integrated solid waste management and “the role of SWM sector in achieving the SDGs” by analyzing the seventeen sustainable development goals from the perspective of solid waste management plans and programs. The second part is arranging the goals from the most affected by solid waste management to the least, depending on structured interviews and experts’ questionnaires for a diverse sample of 30 experts in this field from academics, researchers, and employees in local administrations.

The experts’ questionnaires were designed by 27 questions distributed into three sections; the first section included 8 questions at the level of “policies and general principles of the system,” the second section dealt with 10 questions at the level of “the solid waste management parties,” and the third section dealt with 9 questions at the level of “the technical stages solid waste management.” All the sections included the seventeen sustainable development goals. By transcribing the experts’ answers through 27 questions and by aggregating the number of times each goal was selected during each of the 27 questions and collecting them, it was possible to calculate the number of points collected for each goal through the use of Microsoft Excel. Accordingly, it was possible to arrange the goals from the most affected by solid waste management to the least.

The concept of integrated solid waste management

ISWM is used to refer to the management of the chain of processes, which starts with discharge/storage and extends through the collection, intermediate, treatment, and final disposal of all waste materials [ 2 ]. The core concept of ISWM has been developed out of the experience to address certain common problems with municipal waste management. The international agencies realized that improvements in waste management could not be achieved through a piecemeal approach. An integrated approach was required to reduce the increasing amount of waste that requires the proper collection, treatment, and disposal [ 3 ]. This integrated approach tries to take into account all the dimensions that may affect the solid waste management processes, in addition to taking into account all the actors and influencers on the solid waste management processes.

The role of SWM sector in achieving the SDGs

Considering SDGs, which encompass multiple sectors of urban governance. It can be seen that the interconnectedness and the basic interdependence between it and the solid waste management sector, where environmentally sound and integrated solid waste management programs and plans affect the achievement and improvement of many indicators of SDGs, whether that effect is directly or indirectly. “The environmentally sound management of waste touches on many vital aspects of development,” says Silpa Caza [ 4 ]. The next part deals with how the solid waste management sector affects the achievement of the SDGs, at the level of 17 goals.

Waste pickers and improve poverty rates

While it is known, millions of people in developing countries earn their living from recycling or reusing waste. Reliable statistical data are difficult, as waste pickers are mobile and their population may fluctuate by seasons. For example, Brazil’s official statistical system found over 229,000 people did this work in 2008 [ 5 ]. Many developing countries aim to determine the factors for successful informal sector integration in SWM systems to design measures for the integration of the informal workers in formal waste management strategies, which will have an impact on reducing poverty rates within this sector.

Organic waste and food security

Recycling of organic waste is a real opportunity to provide a large number of organic fertilizers that may improve the quality of crops and raise the rates of agricultural productivity in countries, thus supporting the provision of more safe and nutritious food throughout the year and reducing the proportion of the world population suffering from hunger. Only 13.5% of the world’s waste is recycled, and 5.5% turns into organic fertilizer [ 6 ]. This requires a greater effort to raise those rates and make greater use of them at the level of that goal.

SWM processes and ensuring a healthy life

The medical waste disposal system in developing countries is often subject to defects and faults. Under the pressure of crowded hospitals, workers make mistakes and get infected in return. Adopting the proper management of medical waste inside the health facilities, by incineration or sterilizing and shredding, can greatly reduce the transmission of infection and the transmission of pathogens.

In addition, garbage collectors are still exposed on a daily and continuous basis to the dangers of disease and infection as a result of improper practices of sorting and recycling this hazardous waste, especially many are pregnant and postpartum women within the garbage collectors communities, and to the dangers of premature death as a result of their abuse of sorting processes in the informal system and dealing with waste directly without taking precautionary measures to prevent the transmission of infection and disease.

Therefore, hepatitis C virus (HCV) is one of the most common diseases among litter collectors, which leads to their lives at early ages. Figure 1 shows a comparison between the population in Manshiyat Nasser (one of the largest garbage collectors communities in Egypt) and Greater Cairo by age groups. The available data indicate that the age group over 50 years old in Manshiyat Nasser is much lower compared to Greater Cairo, where the percentage in the Nasser facility is 8.4%, while the Cairo governorate is 14.3%, according to the Central Agency for Public Mobilization and Statistics [ 7 ], which reflects the low average age in the region. This confirms that the proper management of solid waste collection and sorting processes has a great impact on reducing disease rates.

The population in Manshiyat Nasser and Greater Cairo by age groups [the author]

Ensuring quality education for garbage collector communities

Looking at the garbage collectors’ communities in most developing countries, it can be seen the use of children significantly throughout the work system, which increases the cases of illiteracy, and children drop out of education in exchange for the temptations of financial return. As in Manshiyat Nasser, which represents one of the largest garbage collectors’ communities in Egypt, statistics indicate that the level of education in it is much lower if compared to Cairo, where the illiteracy rate in Manshiyat Nasser is 52%, while in Cairo it is 24.2%, according to the Central Agency for Public Mobilization and Statistics [ 7 ]. The illiteracy rate among females in Manshiyat Nasser is 59.6%, while in Cairo, it reaches 30.6% for males; the illiteracy rate in Manshiyat Nasser stands at 45.1%, while in Cairo governorate, it reaches 18.2% [ 7 ]. Figure 2 illustrates an approach between the ratios of the education in Manshiyat Nasser and Greater Cairo.

Educational levels ratios in Greater Cairo and Manshiyat Nasser [the author]

The previous data can be interpreted as an indication of the increasing rates of dropout from education with the advancement of age in one of the largest garbage collector communities in Egypt as a result of work requirements and the rise of child labor within the profession. The reduction of child labor and the provision of technical and vocational education for them, especially in developing countries, supports enrollment opportunities. In schools and learning for garbage collectors’ communities and family members of those in charge of this profession.

Achieve gender equality and empower all women and girls in SWM

Women and girls are considered one of the main actors in informal SWM as they play a major role in the waste sorting stage, which is one of the most influential stages on health, as most of the sorting processes take place in the informal system inside residential spaces and residential streets [ 8 ], as shown in Fig. 3 that affects women’s health as women spend most of their time inside the home practicing this process, which makes them more vulnerable to serious diseases [ 9 ], in addition to the use of young girls in this process as well, which leads to an increase in the educational dropout rate among girls. This confirms the importance of the efforts made by civil organizations in Egypt such as the association for the Protection of the Environment (APE) and Youth Spirit Association (YSA) to spread awareness of the importance of adopting proper practices for sorting solid waste, as well as providing proper job opportunities based on solid waste recycling directed at women and girls and providing medical assistance to women who got infected, in addition to the inclusion of young girls in recycling schools that allow them to practice recycling for a paid fee while ensuring their continuation in the educational system.

Women and young girls sorting garbage in Manshiyat Nasser [ 8 ]

Dumping solid waste and provide clean water

Freshwater sources are exposed to pollution from a wide range of sectors, which threatens human health, as well as wildlife as a whole, and water pollutants include plastic garbage as well as invisible chemicals, in addition to direct discharges of factory waste. It ends up in lakes, rivers, streams, and underground water.

One-third of plastic waste ends up in the soil or freshwater. Plastic never degrades, but rather into tiny particles less than 2.5 mm in size known as nano-plastics, which break down further into nanoparticles (less than 0.1 μm in size) and that becomes part of the food chain. Fresh drinking water becomes contaminated with plastic particles, causing various diseases of cancer origin and hormonal disorder s[ 10 ]. For sure, reducing pollution caused by dumping hazardous wastes in or near waterways increases the chances of obtaining higher quality water.

Energy recover from solid waste

The scientific and technical development in dealing with solid waste has led to a review of the tons of waste that the city produces daily, and to look at it as alternative sources of energy. The concept of generating energy from waste is based on chemically treating solid waste to produce energy; waste is currently the third growing renewable energy source worldwide, after solar and wind. It also contributes, with biomass energy, to more than half of the renewable energy used globally [ 11 ]. This is what made many countries of the world strive in research and development and devising plans on a large scale to separate garbage and recycle it to convert it into energy.

Now, due to the tremendous development in the science of solid waste management and a large number of specialists in it, more than half of the garbage is incinerated and converted into liquid or gaseous fuels [ 10 ].

The informal sector in SWM and decent work for all

Informal employment remains a major challenge to the goal of providing decent work for all. In the SWM system, the percentage of informal employment is increasing in developing countries, which operates according to a framework that does not guarantee social insurance or safety standards, which requires improving the working conditions of the informal sector in the SWM system by integrating it within the formal framework of the system.

The utilization of the human resources of the informal sector in the SWM system and its accumulated experience in this field according to a framework that guarantees to improve the work environment and provide opportunities for decent work. It can support the promotion of economic growth by increasing the productivity rates of the several SWM sectors, by investing in solid waste recycling technology and maximizing the economic return by saving in the use of raw materials used in industries and replacing them with solid waste materials in different industries. These activities, industries, and small enterprises that are based on recycling operations of solid waste produce great decent job opportunities for the informal sector.

Recycling projects to stimulate industrialization and foster innovation

Small industries constitute the backbone of industrial development in developing countries [ 12 ], with a relatively small amount of investment and a domestic resource base. Small industries generate a great deal of employment and self-employment to which the SWM sector can contribute. Recycling materials is one of the processes that create opportunities for unlimited industries and small projects that stimulate innovation processes in various fields of industry, which depends on the output of sorting solid waste from plastic, glass, paper, or cloth and other recyclable materials, in addition to making use of organic waste to create opportunities for small projects that depend on the production of compost from well-separated organic waste. All of that can support growth and innovation processes in manufacturing.

Promoting social and economic inclusion for informal SWM communities

SWM sector could contribute to achieving economic and social integration within developing countries and reducing inequalities. As it is divided in many developing countries into two main systems, namely the formal and informal systems, each of them affects the economic growth processes to varying degrees. Therefore, the merger between the formal and informal SWM sectors will support the reduction of social and economic inequalities for all.

Many developing countries are making great efforts and multiple attempts and putting forward new policies to support the merging processes between the two systems because of the great economic and social benefits that this merging will bring. Some governments are trying to allay the concerns of the informal sector about bearing new tax and insurance burdens, as they try to add benefits to enjoy health care in addition to implementing appropriate systems of insurances and pensions in exchange for monthly installments. This enhances the ability to reduce social and economic inequalities within communities.

Sustainable SWM enhancing the quality of life

By looking at the services of SWM, there are two billion people without access to waste collection services globally, and 3 billion people lack controlled waste disposal facilities according to data collected between 2010 and 2018 ad [ 13 ]. This leads to a lack of indicators of quality of life for cities and the sustainability of local communities. Therefore, good practices for SWM through waste reduction, reuse, recycling, and exploitation in generating energy or safe disposal of it are an essential element in sustainable city management and improving the quality of life. “It is impossible to create a sustainable, livable city without rational solid waste management. It is no longer about technical solutions only. There are impacts on climate, health, and safety as well as important social considerations,” Vasquez stresses [ 14 ]. Therefore, there is an urgent need to invest in waste management infrastructure, including the opportunities to convert full landfills into green parks.

SWM and “sustainable consumption and production patterns”

ISWM contains many concepts related to reducing production and controlling consumption patterns such as moving towards the circular economy model which is based on recycling of materials and converting useful waste into resources. That supports the use of fewer natural resources in manufacturing processes. It can also be said that adopting the concept of extended producer responsibility which requires companies to collect and recycle the waste generated from their products is one of the applications of the green circular economy concepts.

In addition to many practices that are being developed to maximize the benefit from the generated solid waste, such as the MSWM Hierarchy (5Rs), which is considered a widely accepted guideline method on what is better for the environment, as it gives top priority to preventing waste generation in the first place then for reuse, recycling, energy recovery, and finally for final disposal. The importance of using the concept of hierarchy for managing solid waste (5Rs) is due to avoiding wasting an important economic value, which is recyclable waste and reducing the rates of environmental pollution.

Solid waste disposal and climate change measures

Greenhouse gasses such as methane emitted from solid waste are a major factor in air pollution and climate change. Many municipal solid waste (MSW) disposal facilities in developing countries are open dumpsites that contribute to air, water, and soil pollution, as well as greenhouse gas emissions. In 2016, 5% of global emissions were generated from solid waste [ 15 ]. This calls for the need to improve solid waste disposal in most parts of the world, as the safe disposal and the reduction of open burning of garbage are one of the most important climate change-related measures.

According to the statistics issued by the World Bank, the world generates 2.01 billion tons of MSW annually, and at least 33% of it is not managed in an environmentally safe manner. Without improvements in the SWM sector, emissions related to solid waste are probably to increase to 2.6 billion tons of carbon dioxide equivalent by 2050 ad [ 16 ]. Environmentally sound management of solid waste will help reduce the spread of carbon dioxide and other greenhouse gasses in the atmosphere.

SWM and “conserve the oceans, seas, and marine resources”

The oceans constitute the largest ecosystem on the planet, and they produce about half of the oxygen we breathe and act as a climate regulator, they also absorb heat from the atmosphere and more than a quarter of the carbon dioxide that man makes, and carbon emissions lead to the accumulation of heat in the oceans and to changes in their chemical composition, which increases acidification. Reducing open burning can limit the diffusion of carbon dioxide. On the other hand, plastic waste is one of the biggest threats to the oceans. Global production of plastic reached more than 300 million tons in 2014. Much of this plastic has ended up in the oceans, where plastic waste accounts for 90% of marine debris, damaging wildlife and harming marine ecosystems [ 17 ]. The environmentally sound management of solid waste and its safe disposal, especially plastics, can reduce damage to the oceans.

SWM impact on land ecosystems

As a result of the rapid urbanization processes and the increase in the population, the solid waste sector is one of the important sectors with a significant impact on the health of ecosystems with their growth rates of waste. One of the aspects of preserving the ecosystems on the earth’s surface is the safe disposal of solid waste. and Adopting an integrated and sustainable SWM system, which takes care of reducing the amount of waste from the source according to a set of concepts related to such as the (3Rs), and (5Rs), in addition to the circular economy model, which are all widely accepted approaches and principles for waste management operations. The importance of using these concepts is due to the reduction of waste production, which supports the reduction of the need for land utilized for the sanitary burying of waste and using a lower amount of land sustainably and the reduction of the impact on the pollution of soil, water, and air.

Integrated SWM and institutional building strengthening

Given the ISWM, the institutional framework depends on delegating and distributing responsibilities and functions between central governments and local administrations, in addition to the partnership with the private sector, civil society organizations, and all actors in the system. This ensures that decisions are made in a manner that is responsive, inclusive, participatory, and representative at all levels. Many developing countries have turned to the institutional framework based on the principle of decentralization because of its potential benefits as a result of its application in the processes of integrated solid waste management, such as improving economic efficiency, protecting local interests, enhancing citizen participation, and ensuring the availability of tools and methods to activate transparency and accountability to ensure that the costs of programs and projects are evaluated and then monitor the service delivery process.

Partnerships between different parties and sectors

The participation of multiple parties in the SWM system is one of the most important points that the system aspires to, as the transformation from the traditional government sector to the government as a partner by adopting multi-lateral partnerships such as the private sector, non-governmental organizations, and the local community has become inevitable and necessary for the success of the SWM system, also establishes partnerships with other sectors such as industry and trade. All of that is a result of the government sector in developing countries’ realization of its limited ability alone to meet the increasing demand for SWM services. And its need to benefit from the local and foreign experiences of the private sector, ensure the utilization of the human capital and the accumulated experiences of the informal sector, and the inclusion of the local community in identifying the actual needs and evaluating the services provided to it, all of that to support the improvement of the SWM system’s performance. Partnerships with donors also provide opportunities to support the system technically and financially. This supports the achievement of goal 17 by making use of the experiences gained from partnerships and their resource mobilization strategies.

Results and discussion

In view of the Egyptian case and its similarity with developing countries with regard to the solid waste management systems, the research committed to monitoring the impact of SWM plans and programs in developing countries on achieving SDGs through their specific related targets, as the research limitations.

Through the previous section, it became possible to analyze the possibility of achieving the SDGs from the perspective of SWM plans and programs, as it supports the achievement of a wide range of specific targets set within the 17 SDGs, whether directly or indirectly, starting with the development of the natural and urban environment by improving the quality of life for cities, maintaining the sustainability of local communities, reducing the individual negative environmental impacts of cities, and preserving the ecosystems on earth, and its ability to contribute to economic and social development by providing job opportunities. In addition to its support for building transparent institutional frameworks that guarantee partnerships with different sectors and various stakeholders as well. Table 1 deduced the contribution of SWM plans and programs to each of the 17 SDGs.

An expert questionnaire (30 experts) was designed to put the 17 SDGs in the order of the impact of SWM plans and programs on achieving it. The questionnaire included 27 questions distributed into three sections: policies and general principles of the system, the system parties, and the technical stages of the system. Figure 4 shows SDGs and the number of times each goal is chosen as a result of being affected by plans and programs for solid waste management. It is based on analyzing expert answers through 27 questions in the experts’ questionnaire.

SDGs and the lead of goals that are affected by SWM programs [the author]

By transcribing the experts’ answers through 27 questions, it is possible to note the following:

Goal 11: Sustainable cities and communities and goal 3: Good health and well-being goal are in the lead goals that are affected by SWM plans and programs.

Then, comes the second stage goal 9: Industry and innovation, goal 8: decent work and economic growth, and goal 12: Responsible consumption and production.

Then, the third stage goal 17: Partnerships for the goals, goal 15: Life on land, and goal 13: Climate action. Then comes the rest of the SDGs.

Goal 4: Quality education and goal 16: Peace, justice and institutions are representing the least affected goals by the SWM plans and programs, according to the experts’ opinion.

Conclusions

It was clear that there was an impact of solid waste plans and programs on achieving SDGs, in various degrees at the level of 17 SDGs, and the greatest impact appeared in the goals related to improving the quality of life and health in cities, in addition to the goals related to providing decent work for all, supporting industrialization and innovation, and improving production and consumption patterns, as well as addressing climate change, enhancing life on earth and supporting partnerships. While some goals appeared less affected by SWM plans and programs, such as the goal related to quality and equitable education for all and the goal related to establishing institutions subject to the issue. The future direction of research should be focusing on developing a framework for achieving goals 3 and 11 (the most affected by SWM) in Egypt from the perspective of SWM plans and programs.

Availability of data and materials

The datasets generated and analyzed during the current study are available in the Google/forms repository [ https://docs.google.com/forms/d/1eDuL-tDf_xxOAKaDIUKiz8Qji6iGonwbQZHCmCgQc68/edit ].

Abbreviations

Solid waste management

• Sustainable Development Goals

Municipal solid waste

Refuse, reduce, reuse, repurpose, recycle

• Integrated solid waste management

Municipal solid waste management

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KM was a major contributor in writing the manuscript and analyzed and interpreted the experts’ questioner data regarding the impact of solid waste management plans and programs on achieving sustainable development goals. DM contributed to identifying the experts to be interviewed. RR, DM, and AM contributed to the review of the experts’ questioner and the manuscript. All authors read and approved the final manuscript.

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Elsheekh, K.M., Kamel, R.R., Elsherif, D.M. et al. Achieving sustainable development goals from the perspective of solid waste management plans. J. Eng. Appl. Sci. 68 , 9 (2021). https://doi.org/10.1186/s44147-021-00009-9

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Received : 16 April 2021

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Published : 15 September 2021

DOI : https://doi.org/10.1186/s44147-021-00009-9

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• Decentralized solid waste management
• Merging informal SWM sector