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The effect of natural and anthropogenic factors on PM2.5: Empirical evidence from Chinese cities with different income levels
Liu, Qianqian1,2; Wang, Shaojian3; Zhang, Wenzhong1,2; Li, Jiaming1,2; Dong, Guanpeng4
2019-02-25
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
Volume653Pages:157-167
Corresponding AuthorWang, Shaojian(wangshj8@mail.sysu.edu.cn) ; Zhang, Wenzhong(zhangwz@igsnrr.ac.cn)
AbstractThe aim of this paper is to estimate the effects of natural conditions and anthropogenic factors on PM2.5 concentrations, taking into consideration differences in the income levels, and thus the development stages, of the cities studied. To achieve this goal, a balanced dataset of 287 Chinese cities was divided into different income-based panels for the period 1998-2015. The empirical estimation results indicated that meteorological conditions exerted varied effects on PM2.5 concentrations across different income-based panels. The results show that the coefficients of temperature were positive and significant in all panels, with the exception of upper-middle-incomecities. Whilst wind speed and precipitation were found to be conducive to reducing PM2.5 concentrations, no such significant correlation was found in relation to relative humidity (except in high-income cities). In terms of the anthropogenic factors addressed in the study, we found an inverted U-shaped relationship between economic development and PM2.5 concentrations, confirming the Environmental Kuznets Curve hypothesis. In addition, the industrial structure and road density were observed to exert significant positive impacts on PM2.5 concentrations. The empirical analysis of the effects of FDI on PM2.5 concentrations indicate that FDI aggravated PM2.5 pollutions in the total cities and lower-middle-income cities panels, supporting the Pollution Haven Hypothesis. The empirical results for population density suggested that it does not significantly influence PM2.5 concentrations. Moreover, we found that built-up area exerts mixed effects on PM2.5 concentrations. These results cast a new light on the issue of PM2.5 pollution for government policy makers tasked with formulating measures to mitigate the concentration of such pollutants, encouraging that consideration be given to the differences between cities with different income levels. (c) 2018 Elsevier B.V. All rights reserved.
KeywordPM2.5 concentrations Meteorological conditions Anthropogenic factors Income level cities
DOI10.1016/j.scitotenv.2018.10.367
WOS KeywordPARTICULATE MATTER PM2.5 ; ENVIRONMENTAL KUZNETS CURVE ; AIR-POLLUTION ; CO2 EMISSIONS ; ECONOMIC-GROWTH ; METEOROLOGICAL PARAMETERS ; SOCIOECONOMIC-FACTORS ; SOURCE APPORTIONMENT ; ENERGY-CONSUMPTION ; HAZE POLLUTION
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41601151] ; National Natural Science Foundation of China[41871170] ; Natural Science Foundation of Guangdong Province[2016A030310149] ; Pearl River S&T Nova Program of Guangzhou[201806010187] ; General research projects on humanities and social science of the Ministry of Education[17YJAZH125]
Funding OrganizationNational Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province ; Pearl River S&T Nova Program of Guangzhou ; General research projects on humanities and social science of the Ministry of Education
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000458626800017
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/49360
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Shaojian; Zhang, Wenzhong
Affiliation1.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China
3.Sun Yat Sen Univ, Guangdong Prov Key Lab Urbanizat & Geosimulat, Sch Geog & Planning, Guangzhou 510275, Guangdong, Peoples R China
4.Univ Liverpool, Dept Geog & Planning, Liverpool L69 7ZQ, Merseyside, England
Recommended Citation
GB/T 7714
Liu, Qianqian,Wang, Shaojian,Zhang, Wenzhong,et al. The effect of natural and anthropogenic factors on PM2.5: Empirical evidence from Chinese cities with different income levels[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,653:157-167.
APA Liu, Qianqian,Wang, Shaojian,Zhang, Wenzhong,Li, Jiaming,&Dong, Guanpeng.(2019).The effect of natural and anthropogenic factors on PM2.5: Empirical evidence from Chinese cities with different income levels.SCIENCE OF THE TOTAL ENVIRONMENT,653,157-167.
MLA Liu, Qianqian,et al."The effect of natural and anthropogenic factors on PM2.5: Empirical evidence from Chinese cities with different income levels".SCIENCE OF THE TOTAL ENVIRONMENT 653(2019):157-167.
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