@techreport{oai:agi.repo.nii.ac.jp:02000084,
 author = {Domínguez, Alvaro and Dominguez, Alvaro and ドミンゲス, アルバロ and Li, Jiaqi and Mendez, Carlos},
 month = {2024-04-15},
 note = {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.},
 title = {Space-Time Dynamics of Regional Income and Air Pollution in China},
 year = {}
}