Modeling interlinkages between sustainable development goals using network analysis

•We investigate the interlinkages between the Sustainable Development Goals (SDGs) indicators.•We further identify the community of interlinked SDG indicators to be benchmarked and prioritized for different regions.•Employing network analysis on IAEG-SDG data, we find that trade-offs tend to be weak...

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Veröffentlicht in:	World development Jg. 138; S. 105136
Hauptverfasser:	Bali Swain, Ranjula, Ranganathan, Shyam
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.02.2021 Elsevier Science Publishers Pergamon Press Inc
Schlagworte:	Ambiguity Ambition Environmental indicators Network analysis Objectives Regions Sustainability Sustainable development Sustainable Development Goals (SDGs) Sustainable Development Goals (SDGs)System analysisNetwork analysisSustainable development indicators Sustainable development indicators System analysis Target recognition Tradeoffs D85 O1 Q01 Q56 Network analysis Sustainable Development Goals (SDGs) Sustainable development indicators O20 System analysis
ISSN:	0305-750X, 1873-5991, 1873-5991
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Abstract	•We investigate the interlinkages between the Sustainable Development Goals (SDGs) indicators.•We further identify the community of interlinked SDG indicators to be benchmarked and prioritized for different regions.•Employing network analysis on IAEG-SDG data, we find that trade-offs tend to be weaker than the synergies.•Analysis for different regions suggests that universal benchmarking of SDGs is counterproductive.•We argue that it is useful to identify and use a community of indicators to prioritize certain SDGs in different regions. Universal, ambitious, and arguably ambiguous, the UN’s Sustainable Development Goals (SDG) are difficult to measure, monitor, prioritize and achieve. They are a multi-dimensional construct of economic, social and environmental indicators that work through complex interlinkages. We investigate these interlinkages at the SDG target level to identify the trade-offs and synergies between the SDGs. Second, we identify the community of interlinked SDG targets to determine if the SDGs can be benchmarked and prioritized for different regions. Employing network analysis approach the analysis is based on the IAEG-SDG data for the period 2000–2017. We find several positive and negative interlinkages (reinforcing and balancing feedbacks) between the SDG targets. The trade-offs, however, are much weaker than the synergies. Analyzing network structures for different regions, our results suggest that universal benchmarking of SDGs is counterproductive. We argue that it may be useful to identify a specific community of SDG targets, and use them as a guide to prioritize certain goals in different regions.
AbstractList	Universal, ambitious, and arguably ambiguous, the UN’s Sustainable Development Goals (SDG) are difficult to measure, monitor, prioritize and achieve. They are a multi-dimensional construct of economic, social and environmental indicators that work through complex interlinkages. We investigate these interlinkages at the SDG target level to identify the trade-offs and synergies between the SDGs. Second, we identify the community of interlinked SDG targets to determine if the SDGs can be benchmarked and prioritized for different regions. Employing network analysis approach the analysis is based on the IAEG-SDG data for the period 2000–2017. We find several positive and negative interlinkages (reinforcing and balancing feedbacks) between the SDG targets. The trade-offs, however, are much weaker than the synergies. Analyzing network structures for different regions, our results suggest that universal benchmarking of SDGs is counterproductive. We argue that it may be useful to identify a specific community of SDG targets, and use them as a guide to prioritize certain goals in different regions. Universal, ambitious, and arguably ambiguous, the UN's Sustainable Development Goals(SDG) are difficult to measure, monitor, prioritize and achieve. They are a multi-dimensional construct of economic, social and environmental indicators that work through complex interlinkages. We investigate these interlinkages at the SDG target level to identify the trade-offs and synergies between the SDGs. Second, we identify the community of interlinked SDG targets to determine if the SDGs can be benchmarked and prioritized for different regions. Employing network analysis approach the analysis is based on the IAEG-SDG data for the period 2000–2017. We find several positive and negative interlinkages (reinforcing and balancing feedbacks) between the SDG targets. The trade-offs, however, are much weaker than the synergies. Analyzing network structures for different regions, our results suggest that universal benchmarking of SDGs is counterproductive. We argue that it may be useful to identify a specific community of SDG targets, and use them as a guide to prioritize certain goals in different regions. •We investigate the interlinkages between the Sustainable Development Goals (SDGs) indicators.•We further identify the community of interlinked SDG indicators to be benchmarked and prioritized for different regions.•Employing network analysis on IAEG-SDG data, we find that trade-offs tend to be weaker than the synergies.•Analysis for different regions suggests that universal benchmarking of SDGs is counterproductive.•We argue that it is useful to identify and use a community of indicators to prioritize certain SDGs in different regions. Universal, ambitious, and arguably ambiguous, the UN’s Sustainable Development Goals (SDG) are difficult to measure, monitor, prioritize and achieve. They are a multi-dimensional construct of economic, social and environmental indicators that work through complex interlinkages. We investigate these interlinkages at the SDG target level to identify the trade-offs and synergies between the SDGs. Second, we identify the community of interlinked SDG targets to determine if the SDGs can be benchmarked and prioritized for different regions. Employing network analysis approach the analysis is based on the IAEG-SDG data for the period 2000–2017. We find several positive and negative interlinkages (reinforcing and balancing feedbacks) between the SDG targets. The trade-offs, however, are much weaker than the synergies. Analyzing network structures for different regions, our results suggest that universal benchmarking of SDGs is counterproductive. We argue that it may be useful to identify a specific community of SDG targets, and use them as a guide to prioritize certain goals in different regions.
ArticleNumber	105136
Audience	Trade Academic
Author	Bali Swain, Ranjula Ranganathan, Shyam
Author_xml	– sequence: 1 givenname: Ranjula surname: Bali Swain fullname: Bali Swain, Ranjula email: Ranjula.Bali@hhs.se organization: Misum, Stockholm School of Economics and Department of Economics, Södertörn University, Stockholm, Sweden – sequence: 2 givenname: Shyam surname: Ranganathan fullname: Ranganathan, Shyam email: shyam81@vt.edu organization: Department of Statistics, Virginia Tech, USA
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Snippet	•We investigate the interlinkages between the Sustainable Development Goals (SDGs) indicators.•We further identify the community of interlinked SDG indicators... Universal, ambitious, and arguably ambiguous, the UN's Sustainable Development Goals (SDG) are difficult to measure, monitor, prioritize and achieve. They are... Universal, ambitious, and arguably ambiguous, the UN’s Sustainable Development Goals (SDG) are difficult to measure, monitor, prioritize and achieve. They are... Universal, ambitious, and arguably ambiguous, the UN's Sustainable Development Goals(SDG) are difficult to measure, monitor, prioritize and achieve. They are a...
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SubjectTerms	Ambiguity Ambition Environmental indicators Network analysis Objectives Regions Sustainability Sustainable development Sustainable Development Goals (SDGs) Sustainable Development Goals (SDGs)System analysisNetwork analysisSustainable development indicators Sustainable development indicators System analysis Target recognition Tradeoffs
Title	Modeling interlinkages between sustainable development goals using network analysis
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