Analysis on spatial aggregation and heterogeneity of carbon dioxide emissions

Carbon dioxide emissions within regions affect one another in space, and factors that influence carbon dioxide emissions show different spatial characteristics. To show the spatial aggregation of carbon dioxide emissions and the heterogeneity of the influencing factors, the spatial aggregation analysis model and spatial heterogeneity analysis model were constructed in this study. The Global Moran-Index (Moran'sI) was used to construct the spatial aggregation analysis model of carbon dioxide emissions, and the spatial geographic weighted regression analysis was used to construct the heterogeneous model of the influencing factors. The aggregation and heterogeneity were analyzed, and the validity of the model results was verified by unbiased estimation test and significance analysis. Results demonstrate that, the Moran'sI value of carbon dioxide emissions is greater than 0.6, and carbon dioxide emissions indicate strong spatial correlation and clear spatial agglomeration characteristics; By using the weighted regression of spatial geography, it is also found that the spatial affect of influencing factors on carbon dioxide emissions presents different distribution characteristics, thereby confirming the existence of spatial heterogeneity. The study provides references for the implementation of regional energy conservation and carbon emission reduction policies.