Quantitative Assessment of Relationship between Population Exposure to PM2.5 and Socio-Economic Factors at Multiple Spatial Scales over Mainland China

doi:10.3390/ijerph15092058

	Quantitative Assessment of Relationship between Population Exposure to PM2.5 and Socio-Economic Factors at Multiple Spatial Scales over Mainland China
	Yao, Ling 1,2,3; Huang, Changchun 4; Jing, Wenlong 1; Yue, Xiafang 2,3; Xu, Yuyue 5,6
刊名	INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
	2018-09-01
卷号	15 期号:9 页码:13
关键词	spatial heterogeneity population exposure economic effects quantitative analysis
ISSN号	1660-4601
DOI	10.3390/ijerph15092058
通讯作者	Xu, Yuyue(xuyy@nju.edu.cn)
英文摘要	Analyzing the association between fine particulate matter (PM2.5) pollution and socio-economic factors has become a major concern in public health. Since traditional analysis methods (such as correlation analysis and geographically weighted regression) cannot provide a full assessment of this relationship, the quantile regression method was applied to overcome such a limitation at different spatial scales in this study. The results indicated that merely 3% of the population and 2% of the Gross Domestic Product (GDP) occurred under an annually mean value of 35 g/m(3) in mainland China, and the highest population exposure to PM2.5 was located in a lesser-known city named Dazhou in 2014. The analysis results at three spatial scales (grid-level, county-level, and city-level) demonstrated that the grid-level was the optimal spatial scale for analysis of socio-economic effects on exposure due to its tiny uncertainty, and the population exposure to PM2.5 was positively related to GDP. An apparent upward trend of population exposure to PM2.5 emerged at the 80th percentile GDP. For a 10 thousand yuan rise in GDP, population exposure to PM2.5 increases by 1.05 person/km(2) at the 80th percentile, and 1.88 person/km(2) at the 95th percentile, respectively.
资助项目	National Natural Science Foundation of China[41771380] ; National Natural Science Foundation of China[41671423] ; Guangdong Innovative and Entrepreneurial Research Team Program[2016ZT06D336] ; Guangdong Academy of Sciences' Project of Science and Technology Development[2017GDASCX-0101] ; Fundamental Research Funds for the Central Universities[020914380053]
WOS关键词	YANGTZE-RIVER DELTA ; AIR-POLLUTION ; CHEMICAL-COMPOSITION ; PARTICULATE MATTER ; AREAS ; MORTALITY ; HEALTH ; TRENDS ; INEQUALITIES ; DEPRIVATION
WOS研究方向	Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
语种	英语
出版者	MDPI
WOS记录号	WOS:000445765600266
资助机构	National Natural Science Foundation of China ; Guangdong Innovative and Entrepreneurial Research Team Program ; Guangdong Academy of Sciences' Project of Science and Technology Development ; Fundamental Research Funds for the Central Universities
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/52883]
专题	中国科学院地理科学与资源研究所
通讯作者	Xu, Yuyue
作者单位	1.Guangzhou Inst Geog, Engn Technol Ctr Remote Sensing Big Data Applicat, Guangdong Open Lab Geospatial Informat Technol &, Key Lab Guangdong Utilizat Remote Sensing & Geog, Guangzhou 510070, Guangdong, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China 4.Nanjing Normal Univ, Sch Geog Sci, Nanjing 210023, Jiangsu, Peoples R China 5.Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Jiangsu, Peoples R China 6.Nanjing Univ, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Yao, Ling,Huang, Changchun,Jing, Wenlong,et al. Quantitative Assessment of Relationship between Population Exposure to PM2.5 and Socio-Economic Factors at Multiple Spatial Scales over Mainland China[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2018,15(9):13.
APA	Yao, Ling,Huang, Changchun,Jing, Wenlong,Yue, Xiafang,&Xu, Yuyue.(2018).Quantitative Assessment of Relationship between Population Exposure to PM2.5 and Socio-Economic Factors at Multiple Spatial Scales over Mainland China.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,15(9),13.
MLA	Yao, Ling,et al."Quantitative Assessment of Relationship between Population Exposure to PM2.5 and Socio-Economic Factors at Multiple Spatial Scales over Mainland China".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 15.9(2018):13.