How do socioeconomic factors influence urban PM2.5 pollution in China? Empirical analysis from the perspective of spatiotemporal disequilibrium

Yan，Dan1,2; Kong，Ying2,4; Jiang，Peng2; Huang，Ruixian5; Ye，Bin3

2021-03-20

10.1016/j.scitotenv.2020.143266

SCIENCE OF THE TOTAL ENVIRONMENT   影响因子和分区

0048-9697

1879-1026

PM2.5 pollution has harmed the health and social lives of residents, and although evidence of PM2.5 pollution caused by human activities has been reported in a large body of literature, traditional econometric and spatial models can explain the contribution of a given factor from only a global perspective. Given this limitation, this study quantitatively investigated the effects of the spatiotemporal heterogeneity of various socioeconomic factors on PM2.5 pollution in 273 Chinese cities from 2010 to 2016 by exploratory spatial data analysis (ESDA) and geographically weighted regression (GWR). The spatiotemporal distribution pattern and intrinsic driving mechanism of city-level PM2.5 pollution were systematically examined. The results indicate the following: (1) The cities with high PM2.5 pollution are located north of the Yangtze River and east of the Hu line. A notable positive spatial correlation was observed between these cities, and nearly one-third of the cities are in the H-H clustering area. (2) From the global regression point of view, population size and economic development are the main factors causing the deterioration and spread of PM2.5 pollution in Chinese cities, and population size undoubtedly exerts the strongest influence. Industrial structure, economic development, openness degree, urbanization and road intensity also play weak roles in promoting urban PM2.5 pollution. (3) The socioeconomic factors influencing pollution exhibit significant spatial heterogeneity. Specifically, the cities in which pollution is promoted by economic development are mainly concentrated in the northeast and western regions. The cities in which population size exerts a positive driving effect are in most regions, except for a few central and western cities. Three targeted strategies for developing more sustainable cities are comprehensively discussed by building on the understanding of the socioeconomic driving mechanism for PM2.5 pollution. (C) 2020 Elsevier B.V. All rights reserved.

PM2.5 pollution Spatiotemporal disequilibrium Geographically weighted regression China

EI ; SCI ; SSCI

英语

通讯

National Natural Science Foundation of China[71803074] ; Natural Science Foundation of Shenzhen City["JCYJ20190809162809440","JCYJ20190806144415100"] ; High-level Special Funding of the Southern University of Science and Technology["G02296302","G02296402"]

Environmental Sciences & Ecology

Environmental Sciences

WOS:000607780900069

ELSEVIER

20204909583212

Population statistics ; River pollution ; Deterioration ; Regression analysis ; Factor analysis

Water Pollution:453 ; Mathematical Statistics:922.2 ; Materials Science:951 ; Social Sciences:971

ENVIRONMENT/ECOLOGY

Web of Science

1.School of Environmental Science and Engineering,Guangzhou University,Guangzhou,510006,China
2.Tsinghua-Berkeley Shenzhen Institute,Tsinghua University,Shenzhen,518055,China
3.School of Environmental Science & Engineering,Southern University of Science and Technology,Shenzhen,518055,China
4.Department of Economics,York University,Toronto,M3J1P3,Canada
5.Business School,East China University of Political Science and Law,Shanghai,200042,China

Yan，Dan,Kong，Ying,Jiang，Peng,et al. How do socioeconomic factors influence urban PM2.5 pollution in China? Empirical analysis from the perspective of spatiotemporal disequilibrium[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2021,761.

Yan，Dan,Kong，Ying,Jiang，Peng,Huang，Ruixian,&Ye，Bin.(2021).How do socioeconomic factors influence urban PM2.5 pollution in China? Empirical analysis from the perspective of spatiotemporal disequilibrium.SCIENCE OF THE TOTAL ENVIRONMENT,761.

Yan，Dan,et al."How do socioeconomic factors influence urban PM2.5 pollution in China? Empirical analysis from the perspective of spatiotemporal disequilibrium".SCIENCE OF THE TOTAL ENVIRONMENT 761(2021).