EconPapers    
Economics at your fingertips  
 

Has urbanization accelerated PM2.5 emissions? An empirical analysis with cross-country data

Qichen Dong, Yongyi Lin, Jieyu Huang and Zhongfei Chen

China Economic Review, 2020, vol. 59, issue C

Abstract: As a prominent indicator of economic development, urbanization can exert a significant impact on the PM2.5 level. Using panel data from 126 countries (areas) over the period 1990–2016, this study investigates the relationship between urbanization level and PM2.5 density. A modified stochastic impacts by regression on population, affluence, and technology model is applied as the empirical strategy. Results show that the relationship between urbanization and PM2.5 density has an inverted U shape. The effects of urban agglomeration and technological progress reduce the density of PM2.5 in the late stage of urbanization. This study can help policymakers design appropriate measures relevant to PM2.5 attenuation in the context of breakneck urbanization.

Keywords: Environmental Kuznets curve; PM2.5; Pollution; Urban policy; Urbanization (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1043951X19301427
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chieco:v:59:y:2020:i:c:s1043951x19301427

DOI: 10.1016/j.chieco.2019.101381

Access Statistics for this article

China Economic Review is currently edited by B.M. Fleisher, K. X. D. Huang, M.E. Lovely, Y. Wen, X. Zhang and X. Zhu

More articles in China Economic Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:chieco:v:59:y:2020:i:c:s1043951x19301427