Analysis of China´s provincial carbon emissions factors spatial differences based on geographically weighted regression model

There are significant spatial differences on carbon emissions across China´s provinces. The goal of this work is to explore diverse factors of carbon emissions and space pattern across China´s provinces. IPCC carbon emission model is used to calculate the carbon emissions in China province. Geographically weighted regression (GWR) model is the method for modeling the local relationships, helps to reveal the spatial heterogeneity. Therefore, we calculated the spatial relationships on carbon emissions and its influence factors, and estimated the factors´ coefficient by GWR. The carbon emissions coefficient is in the range of 0.868 to 2.650 from energy structure. The carbon emissions coefficient is in the range of 0.868 to 2.650 from industrial structure. Our findings indicate that significantly non-equilibrium and spatial differences exist between the China´s provinces carbon emissions and the each factor. Therefore, these results provide the basis for making carbon emission reduction measures across China´s provinces.