Spatio-temporal changes in the causal interactions among Sustainable Development Goals in China.
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...
| Published in: | Humanities & Social Sciences Communications Vol. 10; no. 1; pp. 1 - 10 |
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| Main Authors: | , , , , , , , , , , , , , , |
| Format: | Article |
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Springer Nature
7/29/2023
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=168594320&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 168594320 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: MVR0 jtl: Humanities & Social Sciences Communications maglogo: N pubinfo: dt: 7/29/2023 vid: 10 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 168594320 10.1057/s41599-023-01952-z ppf: 1 ppct: 9 formats: tig: atl: Spatio-temporal changes in the causal interactions among Sustainable Development Goals in China. aug: au: Cao, Min Chen, Min Zhang, Junze Pradhan, Prajal Guo, Huadong Fu, Bojie Li, Yue Bai, Yuying Chang, Lijiao Chen, Yu Sun, Zhongchang Xu, Zhenci Zhu, Rui Meadows, Michael E. Lü, Guonian affil: Key Laboratory of Virtual Geographic Environment, Ministry of Education of PRC, Nanjing Normal University, 210023, Nanjing, China International Research Center of Big Data for Sustainable Development Goals, 100094, Beijing, China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, 210023, Nanjing, China Chinese Academy of Sciences, State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, 100085, Beijing, China Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, 14473, Potsdam, Germany Bauhaus Earth, 10115, Berlin, Germany Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, 100194, Beijing, China State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, 100875, Beijing, China Department of Geography, The University of Hong Kong, 999077, Hong Kong, China Systems Science Department, Institute of High Performance Computing, A*STAR, 138632, Singapore, Singapore Department of Environmental & Geographical Science, University of Cape Town, 7700, Rondebosch, South Africa su: Sustainable Development Goals (United Nations) Sustainable development Progress China sug: subj: China Sustainable Development Goals (United Nations) Sustainable development Progress ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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