刊行物

内容紹介

Relying on a novel satellite dataset, we examine the spatial distribu-tion of air pollution, specifically PM2.5, and income across 285 Chinese prefectural and above-level cities. A static spatial dependence analysis reveals the locations of high-value clusters (hot spots) and low-value clusters (cold spots), highlighting a strong negative assosiation be-tween income and air pollution. Then, through dynamic spatial clus-tering techniques, we study the intertemporal relationship between air pollution and income and find a polarization effect between different regions. Our integrated approach demonstrates how these analyses complement each other in identifying regions where policies to en-hance air standards can improve the population’s quality of life.