Analysis of resource allocation and PM2.5 pollution control efficiency: Evidence from 112 Chinese cities

The State Council of China initiated an air pollution prevention and control key (APPCK) city program to drive the national economic development and air pollution control since 2003. However, little known about whether the initiation is efficient. This paper examined the PM2.5 pollution control effi...

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Autores principales:	Yu Zhang, Xi Chen, Yanying Mao, Chenyang Shuai, Liudan Jiao, Ya Wu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	PM2.5 pollution Super-SBM model Global Malmquist-Luenberger productivity index Chinese cities Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/3405e29e19f54579a403b1af63aa6e0c
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spelling	oai:doaj.org-article:3405e29e19f54579a403b1af63aa6e0c2021-12-01T04:51:45ZAnalysis of resource allocation and PM2.5 pollution control efficiency: Evidence from 112 Chinese cities1470-160X10.1016/j.ecolind.2021.107705https://doaj.org/article/3405e29e19f54579a403b1af63aa6e0c2021-08-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21003708https://doaj.org/toc/1470-160XThe State Council of China initiated an air pollution prevention and control key (APPCK) city program to drive the national economic development and air pollution control since 2003. However, little known about whether the initiation is efficient. This paper examined the PM2.5 pollution control efficiency (PPCE) of 112 Chinese APPCK cities in 2003–2017 using Super-slack-based measure (Super-SBM) model with undesirable outputs. Results show that: (1) PPCEs of coastal cities (e.g., Shanghai, Guangzhou, and Suzhou) are much higher than those of less-developed northern cities (e.g., Jiaozuo, Anyang and Kaifeng); (2) the overall PPCE of 112 APPCK cities is relatively low and improvable; (3) the annual average growth rate of global Malmquist-Luenberger productivity index is 6.3%; (4) the technological progress is a significant contributor to improve the PPCE of these cities with 3.1% global technological change. These results provide reference to not only the policy-makers of China for synergies and tradeoffs between economic development and PM2.5 pollution control but also the studies on PM2.5 pollution control efficiency in the international context.Yu ZhangXi ChenYanying MaoChenyang ShuaiLiudan JiaoYa WuElsevierarticlePM2.5 pollutionSuper-SBM modelGlobal Malmquist-Luenberger productivity indexChinese citiesEcologyQH540-549.5ENEcological Indicators, Vol 127, Iss , Pp 107705- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	PM2.5 pollution Super-SBM model Global Malmquist-Luenberger productivity index Chinese cities Ecology QH540-549.5
spellingShingle	PM2.5 pollution Super-SBM model Global Malmquist-Luenberger productivity index Chinese cities Ecology QH540-549.5 Yu Zhang Xi Chen Yanying Mao Chenyang Shuai Liudan Jiao Ya Wu Analysis of resource allocation and PM2.5 pollution control efficiency: Evidence from 112 Chinese cities
description	The State Council of China initiated an air pollution prevention and control key (APPCK) city program to drive the national economic development and air pollution control since 2003. However, little known about whether the initiation is efficient. This paper examined the PM2.5 pollution control efficiency (PPCE) of 112 Chinese APPCK cities in 2003–2017 using Super-slack-based measure (Super-SBM) model with undesirable outputs. Results show that: (1) PPCEs of coastal cities (e.g., Shanghai, Guangzhou, and Suzhou) are much higher than those of less-developed northern cities (e.g., Jiaozuo, Anyang and Kaifeng); (2) the overall PPCE of 112 APPCK cities is relatively low and improvable; (3) the annual average growth rate of global Malmquist-Luenberger productivity index is 6.3%; (4) the technological progress is a significant contributor to improve the PPCE of these cities with 3.1% global technological change. These results provide reference to not only the policy-makers of China for synergies and tradeoffs between economic development and PM2.5 pollution control but also the studies on PM2.5 pollution control efficiency in the international context.
format	article
author	Yu Zhang Xi Chen Yanying Mao Chenyang Shuai Liudan Jiao Ya Wu
author_facet	Yu Zhang Xi Chen Yanying Mao Chenyang Shuai Liudan Jiao Ya Wu
author_sort	Yu Zhang
title	Analysis of resource allocation and PM2.5 pollution control efficiency: Evidence from 112 Chinese cities
title_short	Analysis of resource allocation and PM2.5 pollution control efficiency: Evidence from 112 Chinese cities
title_full	Analysis of resource allocation and PM2.5 pollution control efficiency: Evidence from 112 Chinese cities
title_fullStr	Analysis of resource allocation and PM2.5 pollution control efficiency: Evidence from 112 Chinese cities
title_full_unstemmed	Analysis of resource allocation and PM2.5 pollution control efficiency: Evidence from 112 Chinese cities
title_sort	analysis of resource allocation and pm2.5 pollution control efficiency: evidence from 112 chinese cities
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/3405e29e19f54579a403b1af63aa6e0c
work_keys_str_mv	AT yuzhang analysisofresourceallocationandpm25pollutioncontrolefficiencyevidencefrom112chinesecities AT xichen analysisofresourceallocationandpm25pollutioncontrolefficiencyevidencefrom112chinesecities AT yanyingmao analysisofresourceallocationandpm25pollutioncontrolefficiencyevidencefrom112chinesecities AT chenyangshuai analysisofresourceallocationandpm25pollutioncontrolefficiencyevidencefrom112chinesecities AT liudanjiao analysisofresourceallocationandpm25pollutioncontrolefficiencyevidencefrom112chinesecities AT yawu analysisofresourceallocationandpm25pollutioncontrolefficiencyevidencefrom112chinesecities
_version_	1718405717699854336

Analysis of resource allocation and PM2.5 pollution control efficiency: Evidence from 112 Chinese cities

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