| Based on the carbon peaking and carbon neutrality goals,green finance and industrial agglomeration can help reduce carbon emissions per unit of output and enhance regional carbon transfer capacity to reduce cross-regional carbon emission.Specifically,the development of green finance will increase the investment in energy conservation and emission reduction projects.that help promote the innovation and application of green technology.Further,energy consumption and industrial structure will be upgraded.It also contribute to the realization of carbon neutrality.However,the existing empirical studies mainly focus on the impact of green finance on carbon peaking(carbon emission reduction effect),and it is rare to explore the empirical analysis of green finance to empower the carbon neutrality from the dimension of spatiotemporal differentiation characteristics of carbon emissions,and there is no test of spatial effects.This paper uses the data of 30 provinces and cities in China from 2001 to 2019 to construct a dynamic spatial Dubin(SDM)model based on carbon emission level measurement and spatial convergence which test to study the spatial effect of per capita carbon emissions in China.The results show that the per capita carbon emissions between different provinces in China have significant spatial effects and spatial convergence.And the industrial structure,urbanization,technological innovation and foreign investment have a significant positive effect on the regional agglomeration of carbon emissions.In the study of the influencing factors of carbon emissions,the development level of green finance and industrial agglomeration are both positive.The development level of green finance has a negative spatial direct effect on carbon emission level,and industrial structure has a positive spatial direct effect on carbon emission level.Besides foreign investment and technological innovation have a negative spatial spillover effect on carbon emission level. |
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