Xiaomin Wang

TL;DR: It is found that natural factors, including ecological environments and climate, were more influential than socioeconomic factors, and climate was the predominant factor in influencing PM2.5 pollution.

TL;DR: Wang et al. as mentioned in this paper explored the spatiotemporal profile of PM 2.5 concentrations in China from 1998 to 2016, examined its relationship with urbanization and other socioeconomic factors, including industry, abatement investment, and clean energy consumption by constructing the Environmental Kuznets Curve (EKC) model, and interpreted its responses to urbanisation and these factors using the Generalized Additive Model (GAM).

TL;DR: In this article, the authors investigated the spatial distribution, temporal variation, and evolutionary relationships of global urbanization and PM2.5 and provided an interpretation on the evolution of urbanization.