Assessing the pollution convergence across Chinese cities by considering ecological indicators: A continuous distribution dynamics approach

We employ a nonparametric distribution dynamics approach to examine the long-run trend of particulate matter (PM2.5) air pollution in China. Analysis of the data from 288 Chinese prefectural and above (PAA) level cities over the 2001–2019 period shows evidence of convergence in the estimated long-ru...

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Autores principales:	Jianxin Wu, Ziwei Feng, Sajid Anwar
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	PM2.5 concentration Distribution dynamics Poverty-environment trap Conditioning analysis Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/8a332a12b54643e4a24838a46cd9f4c7
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id	oai:doaj.org-article:8a332a12b54643e4a24838a46cd9f4c7
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spelling	oai:doaj.org-article:8a332a12b54643e4a24838a46cd9f4c72021-12-01T04:48:03ZAssessing the pollution convergence across Chinese cities by considering ecological indicators: A continuous distribution dynamics approach1470-160X10.1016/j.ecolind.2021.107552https://doaj.org/article/8a332a12b54643e4a24838a46cd9f4c72021-07-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X2100217Xhttps://doaj.org/toc/1470-160XWe employ a nonparametric distribution dynamics approach to examine the long-run trend of particulate matter (PM2.5) air pollution in China. Analysis of the data from 288 Chinese prefectural and above (PAA) level cities over the 2001–2019 period shows evidence of convergence in the estimated long-run distribution of air pollution, which is consistent with Environmental Kuznets Curve hypothesis (EKC). However, presence of strong persistence suggests that convergence process takes considerable time. Conditioning analysis shows that China’s environment policy since 2013 has been successful in driving the air pollution in several cities to converge to a lower level. Furthermore, we uncover a poverty-environment trap in the estimated long-run distribution. Our analysis highlights the need for targeted environmental policies in heterogeneous city clusters in China. Lessons learned from China’s experience can also be useful to policy makers in other developing countries.Jianxin WuZiwei FengSajid AnwarElsevierarticlePM2.5 concentrationDistribution dynamicsPoverty-environment trapConditioning analysisEcologyQH540-549.5ENEcological Indicators, Vol 126, Iss , Pp 107552- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	PM2.5 concentration Distribution dynamics Poverty-environment trap Conditioning analysis Ecology QH540-549.5
spellingShingle	PM2.5 concentration Distribution dynamics Poverty-environment trap Conditioning analysis Ecology QH540-549.5 Jianxin Wu Ziwei Feng Sajid Anwar Assessing the pollution convergence across Chinese cities by considering ecological indicators: A continuous distribution dynamics approach
description	We employ a nonparametric distribution dynamics approach to examine the long-run trend of particulate matter (PM2.5) air pollution in China. Analysis of the data from 288 Chinese prefectural and above (PAA) level cities over the 2001–2019 period shows evidence of convergence in the estimated long-run distribution of air pollution, which is consistent with Environmental Kuznets Curve hypothesis (EKC). However, presence of strong persistence suggests that convergence process takes considerable time. Conditioning analysis shows that China’s environment policy since 2013 has been successful in driving the air pollution in several cities to converge to a lower level. Furthermore, we uncover a poverty-environment trap in the estimated long-run distribution. Our analysis highlights the need for targeted environmental policies in heterogeneous city clusters in China. Lessons learned from China’s experience can also be useful to policy makers in other developing countries.
format	article
author	Jianxin Wu Ziwei Feng Sajid Anwar
author_facet	Jianxin Wu Ziwei Feng Sajid Anwar
author_sort	Jianxin Wu
title	Assessing the pollution convergence across Chinese cities by considering ecological indicators: A continuous distribution dynamics approach
title_short	Assessing the pollution convergence across Chinese cities by considering ecological indicators: A continuous distribution dynamics approach
title_full	Assessing the pollution convergence across Chinese cities by considering ecological indicators: A continuous distribution dynamics approach
title_fullStr	Assessing the pollution convergence across Chinese cities by considering ecological indicators: A continuous distribution dynamics approach
title_full_unstemmed	Assessing the pollution convergence across Chinese cities by considering ecological indicators: A continuous distribution dynamics approach
title_sort	assessing the pollution convergence across chinese cities by considering ecological indicators: a continuous distribution dynamics approach
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/8a332a12b54643e4a24838a46cd9f4c7
work_keys_str_mv	AT jianxinwu assessingthepollutionconvergenceacrosschinesecitiesbyconsideringecologicalindicatorsacontinuousdistributiondynamicsapproach AT ziweifeng assessingthepollutionconvergenceacrosschinesecitiesbyconsideringecologicalindicatorsacontinuousdistributiondynamicsapproach AT sajidanwar assessingthepollutionconvergenceacrosschinesecitiesbyconsideringecologicalindicatorsacontinuousdistributiondynamicsapproach
_version_	1718405735061127168

Assessing the pollution convergence across Chinese cities by considering ecological indicators: A continuous distribution dynamics approach

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