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Article: Spatio-temporal changes in the causal interactions among Sustainable Development Goals in China

TitleSpatio-temporal changes in the causal interactions among Sustainable Development Goals in China
Authors
Issue Date29-Jul-2023
PublisherSpringer Nature
Citation
Humanities and Social Sciences Communications, 2023, v. 10, n. 1 How to Cite?
Abstract

Extensive efforts have been dedicated to deciphering the interactions associated with Sustainable Development Goals (SDGs). However, these developments are hampered by a lack of efficient strategies to avoid beneficial synergies being offset by harmful trade-offs. To fill these gaps, we used causal diagnosis and network analysis methods to construct 1302 directed networks of SDGs for 31 provinces in China from 2000 to 2020. We observed a dramatic offsetting effect of SDG synergies and trade-offs in China from 2000 to 2020, with approximately 27% of trade-off indicator pairs turning into synergies and about 25% of the synergy indicator pairs turning into trade-offs. However, our findings suggested that prioritising the progress of high-frequency indicators in virtuous cycles could multiply the positive systemic effects of the SDGs. Moreover, controlling the transition from passive to active in the trade-off network of SDGs remains a challenge in advancing the SDGs holistically.


Persistent Identifierhttp://hdl.handle.net/10722/339416
ISSN
2023 Impact Factor: 3.7
2023 SCImago Journal Rankings: 0.871
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorCao, Min-
dc.contributor.authorChen, Min-
dc.contributor.authorZhang, J-
dc.contributor.authorPradhan, P-
dc.contributor.authorGuo, Huadong-
dc.contributor.authorFu, Bojie-
dc.contributor.authorLi, Y-
dc.contributor.authorBai, Y-
dc.contributor.authorChang, L-
dc.contributor.authorChen, Y-
dc.contributor.authorSun, Z-
dc.contributor.authorXu, Zhenci-
dc.contributor.authorZhu, R-
dc.contributor.authorMeadows, M-
dc.contributor.authorLü, Guonian -
dc.date.accessioned2024-03-11T10:36:26Z-
dc.date.available2024-03-11T10:36:26Z-
dc.date.issued2023-07-29-
dc.identifier.citationHumanities and Social Sciences Communications, 2023, v. 10, n. 1-
dc.identifier.issn2662-9992-
dc.identifier.urihttp://hdl.handle.net/10722/339416-
dc.description.abstract<p>Extensive efforts have been dedicated to deciphering the interactions associated with Sustainable Development Goals (SDGs). However, these developments are hampered by a lack of efficient strategies to avoid beneficial synergies being offset by harmful trade-offs. To fill these gaps, we used causal diagnosis and network analysis methods to construct 1302 directed networks of SDGs for 31 provinces in China from 2000 to 2020. We observed a dramatic offsetting effect of SDG synergies and trade-offs in China from 2000 to 2020, with approximately 27% of trade-off indicator pairs turning into synergies and about 25% of the synergy indicator pairs turning into trade-offs. However, our findings suggested that prioritising the progress of high-frequency indicators in virtuous cycles could multiply the positive systemic effects of the SDGs. Moreover, controlling the transition from passive to active in the trade-off network of SDGs remains a challenge in advancing the SDGs holistically.<br></p>-
dc.languageeng-
dc.publisherSpringer Nature-
dc.relation.ispartofHumanities and Social Sciences Communications-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleSpatio-temporal changes in the causal interactions among Sustainable Development Goals in China-
dc.typeArticle-
dc.identifier.doi10.1057/s41599-023-01952-z-
dc.identifier.scopuseid_2-s2.0-85166364325-
dc.identifier.volume10-
dc.identifier.issue1-
dc.identifier.isiWOS:001039100200003-
dc.identifier.issnl2662-9992-

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