Evolution simulation of spatial spillover effect of carbon emission efficiency based on improved PSO-PFCM clustering algorithm

By simulating and analyzing the spatial spillover effect between different regions, the spatial correlation of carbon emission efficiency can be studied. Understanding how carbon emission behaviors interact and transmit across regions will help to develop more comprehensive and accurate carbon emission management strategies. Therefore, a new evolutionary simulation method for spatial spillover effect of carbon emission efficiency is proposed in this study. The PSO-PFCM clustering algorithm was improved to detect the overflow of carbon emission efficiency. The main characteristics of the multidimensional spatial spillover effect of carbon emission efficiency were selected, the multidimensional spatial feature mapping model was constructed, and the level of spillover effect was judged to complete the analysis of the evolution of the spatial spillover effect of carbon emission efficiency. The experimental results show that the proposed method has shorter abnormal detection time of carbon emission data spill and higher evolutionary accuracy of spatial spillover effect of carbon emission efficiency.