Spatial analysis of carbon dioxide emissions from producer services: an empirical analysis based on panel data from China

This study focuses on producer services based on data from 30 provinces in China from 2005 to 2018. The spatial panel STIRPAT-Durbin model was used to analyze the spatiotemporal evolution characteristics and spatial effects of CO2 emissions. The empirical results reveal four key findings. First, there are significant differences in CO2 emissions between eastern and western China, and the agglomeration areas gradually evolved from east to central and south China. Second, the increase in industrial agglomeration level leads to increased carbon emissions from producer services and produces negative spatial spillover effects. Third, urbanization, employment scale, and per capita wealth significantly increase the provinces' carbon emissions and produce positive spatial spillover effects. Fourth, technology can significantly reduce CO2 emissions, but the positive spatial spillover effect is not significant.

Automated summary

This study analyzes the spatial and temporal evolution characteristics and spatial effects of CO2 emissions in China based on data from 30 provinces from 2005 to 2018. The findings show significant differences in CO2 emissions between eastern and western China, with agglomeration areas shifting gradually from east to central and south China. Industrial agglomeration level leads to increased carbon emissions from producer services and has negative spatial spillover effects. Urbanization, employment scale, and per capita wealth significantly increase carbon emissions and have positive spatial spillover effects. Technology can reduce CO2 emissions, but the spatial spillover effect is not significant.