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PM2.5 mitigation in China: Socioeconomic determinants of concentrations and differential control policies
Luo, Kui1,2,3; Li, Guangdong1,2,3; Fang, Chuanglin1,2,3; Sun, Siao1,2,3
2018-05-01
Source PublicationJOURNAL OF ENVIRONMENTAL MANAGEMENT
ISSN0301-4797
Volume213Pages:47-55
Corresponding AuthorLi, Guangdong(ligd@igsnrr.ac.cn) ; Fang, Chuanglin(fangcl@igsnrr.ac.cn)
AbstractElucidating the key impact factors on PM2.5 concentrations is crucial to formulate effective mitigation policies. In this study, we employed an extended Stochastic Impacts by Regression on Population Affluence and Technology (STIRPAT) model to identify the socioeconomic determinants of PM2.5 concentrations for 12 different regions and across China. The evaluation was based on a balanced panel dataset integrating long-term satellite-derived PM2.5 concentrations and socio-economic data in China from 1999 to 2011. Empirical results indicate that the influencing factors can be ranked in descending order of importance as: proportion of secondary sector of the economy, GDP per capita, urbanization, population, energy intensity, and proportion of tertiary sector. Proportion of secondary sector is the greatest contribution to increasing PM2.5 concentrations, especially for heavily polluted regions. GDP per capita is secondary in importance, and its impact is weakened by the existence of an EKC relationship between GDP per capita and PM2.5 concentrations. Therefore, PM2.5 pollution is an economic development mode problem, rather than a general economic development problem. The impact of urbanization varies across regions; while promoting urbanization will be conducive to decreased PM2.5 concentrations in Northwest China and Northeast China, it will contribute to increased PM2.5 concentrations in other regions. Population and energy intensity are significant in most regions, but neither are decisive factors because of the small absolute value of their coefficients. Finally, different combinations of mitigation policies are proposed for different regions in this study to meet the mitigation targets. (C) 2018 Elsevier Ltd. All rights reserved.
KeywordFine particulate matter (PM2.5) Differential control policies Socio-economic determinants Satellite remote sensing China
DOI10.1016/j.jenvman.2018.02.044
WOS KeywordPARTICULATE AIR-POLLUTION ; LONG-TERM EXPOSURE ; GLOBAL BURDEN ; DRIVING FORCES ; EMISSIONS ; POPULATION ; IMPACT ; REGRESSION ; MORTALITY ; DISEASE
Indexed BySCI
Language英语
Funding ProjectNatural Science Foundation of China[41590842] ; Natural Science Foundation of China[41501175]
Funding OrganizationNatural Science Foundation of China
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000429187400006
PublisherACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57313
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLi, Guangdong; Fang, Chuanglin
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Luo, Kui,Li, Guangdong,Fang, Chuanglin,et al. PM2.5 mitigation in China: Socioeconomic determinants of concentrations and differential control policies[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2018,213:47-55.
APA Luo, Kui,Li, Guangdong,Fang, Chuanglin,&Sun, Siao.(2018).PM2.5 mitigation in China: Socioeconomic determinants of concentrations and differential control policies.JOURNAL OF ENVIRONMENTAL MANAGEMENT,213,47-55.
MLA Luo, Kui,et al."PM2.5 mitigation in China: Socioeconomic determinants of concentrations and differential control policies".JOURNAL OF ENVIRONMENTAL MANAGEMENT 213(2018):47-55.
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