Spatial heterogeneity analysis of CO

The thermal power industry is a major contributor to China's CO2 emissions, and its absolute emissions are still increasing year by year. Hence, this paper introduced a geographically weighted regression model to explore the spatial heterogeneity of different driving factors for this industry's CO2 emissions. The empirical results show that standard coal consumption is a decisive factor affecting thermal power industry's CO2 emissions, and its response to the western region is at the forefront. The average utilization hours of thermal power equipment in the central region exert a profound impact, while the western region devotes a lot to the installed capacity, and these two variables have great potential for CO2 emission mitigation. However, the urbanization level and per capita electricity consumption have a slight effect on CO2 emissions. These findings furnish constructive reference and policy implications to achieve emission abatement targets of different regions