From a spatial perspective, this paper constructs a spatial Durbin model based on the adjacent weight matrix to analyze the impact of environmental regulation on the development of renewable energy in 30 provinces (autonomous regions and municipalities directly under the Central Government) in China from 2007 to 2020. The results show that: 1) Both environmental regulation and renewable energy development have positive spatial autocorrelation, and form relatively similar spatial agglomeration areas, specifically showing the characteristics of "high-high" agglomeration in resource-rich areas, and "low-low" agglomeration in resource-scarce areas. 2) In general, the intensity of environmental regulation in this province has a significant role in promoting the development of renewable energy and has a significant spatial spillover effect on the development of renewable energy in neighboring provinces due to the influence of geographical distance, economic level, infrastructure construction and other factors. 3) The moderating effect results show that infrastructure construction and electricity demand play an inverse moderating role between environmental regulation and renewable energy development. 4) From the perspective of different regions, the impact of environmental regulation on the development of renewable energy is heterogeneous. Based on the research conclusions, this paper finally puts forward some policy suggestions, such as strengthening the environmental assessment and incentive system, strengthening the cooperation between local governments and rationally optimizing the energy structure.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.