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运用空间面板模型对我国省域碳排放分别从全国层面及东、中、西三大区域层面进行空间计量分析。分析结果表明:总体而言,全国省域碳排放存在显著的空间正自相关性,各省份碳排放对相邻省分的碳排放具有溢出效应;区域层面上,我国东、西部省域碳排放存在正向的空间相关性,而中部地区存在负向的空间相关性;人均GDP、人口规模、能源强度对我国三大区域碳排放均存在显著的正向影响,但影响强度有所不同;产业结构对东部地区碳排放有显著影响,但对中、西部地区影响不显著;能源消费结构对中、西部地区碳排放有显著影响,但对东部地区影响不显著。
Spatial echelon modeling is used to conduct spatial econometrics analysis on China’s provincial carbon emissions from the national level, the east, central and western regions respectively. The results show that there is a significant positive spatial autocorrelation of provincial carbon emissions in China as a whole, and carbon emissions in all provinces have a spillover effect on carbon emissions of adjacent provinces. At the regional level, carbon emissions in the eastern and western provinces There is a positive spatial correlation, while there is a negative spatial correlation in the central region; GDP per capita, population size and energy intensity have significant positive impacts on carbon emissions in three major regions in China, but the intensity of impact is different; Structure has a significant impact on carbon emissions in the eastern region, but not significant impact on the central and western regions; energy consumption structure has a significant impact on carbon emissions in the central and western regions, but the impact on the eastern region is not significant.