Examining the effects of socioeconomic development on fine particulate matter (PM2.5) in China's cities using spatial regression and the geographical detector technique

• Published in: The Science of the total environment Vol. 619-620; pp. 436 - 445
• Main Authors: Zhou, Chunshan, Chen, Jing, Wang, Shaojian
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.04.2018
• Subjects: China; cities; coal; data collection; dust; electric energy consumption; emissions; Geographical detector technique; human health; monitoring; particulates; PM2.5 concentrations; pollutants; pollution; pollution control; population density; rain; seasonal variation; socioeconomic development; socioeconomic factors; soot; Spatial regression; summer; temperature; trade; winter; China; PM2.5 concentrations; Geographical detector technique; Spatial regression; China; PM(2.5) concentrations

•The direction and strength of the link between PM2.5 level and their drivers are analyzed.•Spatial regression and geographical detector techniques are used.•A spatial agglomeration effect was identified in city-level PM2.5 level.•Population density, industrial structure, industrial dust, and road d...