Research on Spatial Pattern and Influencing Factors of Carbon productivity in China's Service Industry
This paper calculates the carbon productivity of the service industry in 30 provinces in China using the IPCC carbon emission accounting method,explores the spatial correlation characteristics of carbon produc-tivity in China's service industry using spatial autocorrelation analysis,and the spatial dubin model is also used to analyze the influencing factors of carbon productivity in China's service industry.The results show that the overall carbon productivity of China's service industry shows a rising trend year by year,and there is a down-ward trend from the eastern region to the western region.The influencing factors show significant regional dif-ferences in carbon productivity in the service industry in the eastern,central,western,and northeastern re-gions.The population density in the eastern region has a negative impact on the service industry,and the de-velopment process of carbon productivity in the service industry in the central and western regions is greatly af-fected by industrial structure.The carbon productivity in the northeastern region is mainly affected by the level of economic development.It is proposed that the government should implement various energy conservation and emission reduction measures according to local conditions to seek low-carbon development of the service industry in various regions.
Service IndustryCarbon ProductivitySpatial AutocorrelationSpatial Durbin Model
万方数据
维普
