Back to Search Start Over

Identifying the effects of industrial land expansion on PM2.5 concentrations: A spatiotemporal analysis in China.

Authors :
Li, Qiao
Chen, Wei
Li, Meng
Yu, Qianyu
Wang, Yanan
Source :
Ecological Indicators. Aug2022, Vol. 141, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

• Use the balanced panel data of 324 cities in China from 2007 to 2016. • Investigate the changes of industrial land expansion and PM 2.5 concentrations. • The impact of industrial land expansion on PM 2.5 concentrations is estimated. • Socioeconomic and meteorological factors play a key role in PM 2.5 concentrations. • Suggestions on land and industrial policies are put forward for different regions. Industrial land is a prerequisite for industrial development and a crucial factor in promoting local economic growth. However, while promoting industrial development, industrial land expansion has produced much environmental pollution, but its impact has not been effectively evaluated. Based on the balanced panel data of 324 cities in China from 2007 to 2016, the effect of industrial land expansion on PM 2.5 concentrations is studied using a spatial econometric model. The results show the evident regional heterogeneity of industrial land expansion. The eastern region has the largest expansion scale. Additionally, since 2013, the scale of industrial land expansion has decreased. The vast cities in the central and eastern regions have relatively high PM 2.5 concentrations, especially in the North China Plain. Furthermore, the overall PM 2.5 concentrations show a downward trend; however, a noticeable interannual fluctuation has been observed. Besides, the industrial land expansion has significantly promoted increased PM 2.5 concentrations, both nationally and regionally. The most significant impact is in the eastern region, and the smallest impact is in the central region. Population density (POPD), road density (RORD), and temperature (TEM) positively correlate with PM 2.5 concentrations, whereas economic development levels (EDL), industrial structure upgrading (ISU), vegetation coverage (NDVI), and precipitation (PRE) have varying effects on PM 2.5 concentrations in each region. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1470160X
Volume :
141
Database :
Academic Search Index
Journal :
Ecological Indicators
Publication Type :
Academic Journal
Accession number :
158118382
Full Text :
https://doi.org/10.1016/j.ecolind.2022.109069