Carbon Emissions and National Sustainable Development Goals Coupling Coordination Degree Study from a Global Perspective: Characteristics, Heterogeneity, and Spatial Effects

Wenli Yang, Langang Feng, Zuogong Wang () and Xiangbo Fan
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Wenli Yang: School of Big Data Applications and Economics, Guizhou University of Finance and Economics, Guiyang 550025, China
Langang Feng: School of Big Data Applications and Economics, Guizhou University of Finance and Economics, Guiyang 550025, China
Zuogong Wang: School of Economics, Henan University, Kaifeng 475004, China
Xiangbo Fan: School of Big Data Applications and Economics, Guizhou University of Finance and Economics, Guiyang 550025, China

Sustainability, 2023, vol. 15, issue 11, 1-23

Abstract: While the environmental issues resulting from carbon emissions are widely recognized by the public, there is a lack of in-depth research on whether controlling carbon emissions will have an impact on social development at the national level. In this study, we used panel data from 166 countries worldwide from 2005 to 2020 to construct coupled coordination models, panel regression models, and spatial Durbin models to assess the impact of carbon emissions on the coupled coordinated development of sustainable development goals (SDGs) in different countries around the world. This study is the first to investigate the features, heterogeneity, and spatial effects of carbon emissions on the SDG coupling coordination degree. We found that: (1) Globally, the SDG coupling coordination degree was generally low from 2005 to 2020. Despite the slow improvement in the global SDG coupling coordination degree over the past 16 years, it has always been in a barely imbalanced transitional development state. At the same time, there was a phenomenon of “high-income > high–middle-income > low–middle-income > low-income” difference in the SDG coupling coordination development level among countries of different income types. (2) Carbon emissions have a significant promoting effect on the SDG coupling coordination degree for low-income and low–middle-income countries while having a significant inhibitory effect on the SDG coupling coordination degree for high–middle-income and high-income countries. In addition, the impact of carbon emissions on the SDG coupling coordination degree also exhibits regional heterogeneity. (3) Carbon emissions have a significant spatial spillover effect on the SDG coupling coordination degree, with a positive promoting effect on the SDG coupling coordination degree in one’s own country and a significant inhibitory effect on the SDG coupling coordination degrees of neighboring countries. Our research can help decision-makers develop targeted carbon reduction plans to avoid social development losses caused by controlling carbon emissions in a crude manner. Our research findings provide crucial evidence for the formulation of international policies aimed at reducing carbon emissions, in order to avoid the inequities that may result from the adoption of extreme carbon reduction policies.

Keywords: carbon emissions; sustainable development; coupling coordination degree; spatial effect (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (6)

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