Carrying out the research on the spatial heterogeneity of carbon emissions and influencing factors at the county scale is an important link to help achieve the goal of"double carbon"for counties and districts and other multi-scale regions.Using 122 counties in Hunan province as the research object,the carbon emissions of each county in Hunan province were estimated through nightlight data,the exploratory spatial data analysis methods were used to depict the spatial and temporal patterns of carbon emissions in the counties,and the geodetector and geographically and temporally weighted regression(GTWR)model were used to quantitatively investigate the spatial differentiation of carbon emissions in the counties and the factors influencing in terms of policy,economy,energy,society,and industry.The results show that ① from 2012 to 2020,the overall trend of carbon emission in the counties of Hunan province is weakening and the difference is more obvious,the spatial pattern distribution is high in the north and low in the south,and the gap between the east and west is relatively small;② the Moran's I value decreases year by year,the spatial clustering feature is more significant,and the overall positive correlation trend is shown;③ the financial expenditures,the size of population,the urbanization rate,energy carbon intensity and agricultural development level are the dominant factors affecting carbon emissions in the counties;④ based on GTWR model,there are significant spatial and temporal differences in the impact of the same indicator on carbon emissions in different counties.
维普
万方数据