EVALUATION OF SPATIAL AGGLOMERATION EFFECTS OF URBAN CARBON EMISSIONS BASED ON SPATIAL LAG REGRESSION

Due to the complex reasons of spatial aggregation of urban carbon emissions, the existing carbon emission assessment methods do not consider the spatial interaction effect of exogenous variables, which makes it impossible to accurately determine the changes and influencing factors of urban carbon emission aggregation. A spatial lag regression based assessment method of spatial aggregation effect of urban carbon emissions is proposed. According to the significance test, the paper analyzes the global and local spatial correlation of the study area through the calculation of coefficient of variation, the spatial lag regression model, the spatial error regression model and so on, and obtains the carbon emission accumulation law of the study area urban agglomeration. The results show that the overall carbon emission of the region is high. The overall carbon emission of urban agglomeration shows high and low aggregation effect, with large spatial difference. The population and per capita wealth are important factors affecting carbon emission, this study can provide a reliable reference for effectively reducing carbon pollution and realizing the sustainable development of low-carbon environmental protection.