中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
PM2.5 mitigation in China: Socioeconomic determinants of concentrations and differential control policies

文献类型:期刊论文

作者Luo, Kui1,2,3; Li, Guangdong1,2,3; Fang, Chuanglin1,2,3; Sun, Siao1,2,3
刊名JOURNAL OF ENVIRONMENTAL MANAGEMENT
出版日期2018-05-01
卷号213页码:47-55
关键词Fine particulate matter (PM2.5) Differential control policies Socio-economic determinants Satellite remote sensing China
ISSN号0301-4797
DOI10.1016/j.jenvman.2018.02.044
通讯作者Li, Guangdong(ligd@igsnrr.ac.cn) ; Fang, Chuanglin(fangcl@igsnrr.ac.cn)
英文摘要Elucidating 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.
WOS关键词PARTICULATE AIR-POLLUTION ; LONG-TERM EXPOSURE ; GLOBAL BURDEN ; DRIVING FORCES ; EMISSIONS ; POPULATION ; IMPACT ; REGRESSION ; MORTALITY ; DISEASE
资助项目Natural Science Foundation of China[41590842] ; Natural Science Foundation of China[41501175]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000429187400006
出版者ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
资助机构Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/57312]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Guangdong; Fang, Chuanglin
作者单位1.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
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.

入库方式: OAI收割

来源:地理科学与资源研究所

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