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.

This study empirically analyzes factors influencing the coupling and coordinated development of rural urbanization and rural finance. For this purpose, the study employs the coupling degree model and develops a panel quantile model to estimate the coupling degree and coupling coordination degree of rural urbanization and rural finance. Accordingly, the study presents panel data comprising 31 provinces, municipalities, and autonomous regions in China from 2010 to 2019. The empirical results reveal that the coupling degree of rural urbanization and rural finance is relatively low in most study areas. This result suggests that rural urbanization and rural financial development in most provinces in China have not exhibited coordinated development. Further, the results reveal that urban population density negatively affects the coupling and coordination degree of rural urbanization and rural finance. Moreover, the effects of urban population density are more significant in areas with a low coupling coordination degree compared with those with a higher coupling coordination degree. An increase in the quantile gradually decreases the effect of the proportion of educational expenditure to GDP on the degree of rural urbanization and rural financial coupling coordination. However, the effect of financial development efficiency increases accordingly. The per capita GDP, per capita fiscal expenditure, and per capita built-up area significantly affect all the quantiles, indicating a positive correlation. This correlation can promote the coupling and coordinated development of rural urbanization and rural finance. In areas with a low coupling coordination degree, the financial development scale significantly positively affects the coupling coordination degree of rural urbanization and rural finance. In areas with a high coupling coordination degree, the financial development scale significantly negatively correlates with the coupling coordination degree. In addition, a positive correlation exists between the financial development structure and the coupling coordination degree of rural urbanization and rural finance.