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
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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 |
DOI | 10.1016/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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