Analyzing the socioeconomic determinants of PM2.5 air pollution at the global level

被引:9
作者
Chen, Xi [1 ]
Shuai, Chenyang [2 ,3 ,4 ]
Gao, Jing [1 ]
Wu, Ya [5 ]
机构
[1] Southwest Univ, Coll Econ & Management, Chongqing, Peoples R China
[2] Chongqing Univ, Sch Management Sci & Real Estate, Chongqing, Peoples R China
[3] Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI 48109 USA
[4] Univ Michigan, Michigan Inst Computat, Discovery & Engn, Ann Arbor, MI 48109 USA
[5] Southwest Univ, Coll Resources & Environm, Chongqing, Peoples R China
基金
中国国家自然科学基金;
关键词
PM2; 5; concentration; Socioeconomic determinants; Air pollution; Global level; CO2; EMISSIONS; ENERGY INTENSITY; CHINESE CITIES; AMBIENT PM2.5; URBANIZATION; BURDEN;
D O I
10.1007/s11356-022-24194-z
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Since PM2.5 pollution has jeopardized public health, the research on how ambient fine particulate matter (PM2.5) concentrations are influenced has been increasingly important for the implementation of regional PM2.5 concentration reduction. This study analyzed the socioeconomic determinants of PM2.5 air pollution of 132 countries/economies. It was found that the main inhibitor for the PM2.5 air pollution is the emission intensity (EmI), which is measured by the PM2.5 emission when a united of energy is consumed, in every income level of countries, while the energy intensity (EnI) is the second inhibitor. Meanwhile, economic output (EO) was the largest driving factor on the PM2.5 concentrations, while population (P) growth was the second. Overall, the national employment rate (Emp) showed very little impact on the countries. This study also analyzed the income-based variation in the effects of the five factors on PM2.5 concentration changes: overall, the effects of the determinants all decreased with the rise of income levels, i.e., both the inhibiting effects of PM2.5 EmI and EnI and driving effects of EO and P performed stronger in lower-income countries than higher-income ones. Regarding the income-based variation of the determinants, this study also discussed the policy implications, such as adopting technologies on reducing PM2.5 intensity and EnI, transferring the EO from the manufacturing industry to the service industry, and international organizations on public health and environmental protection should provide targeted strategies, guidelines, and other assistances to lower-income countries as both driving and inhibiting factors performed more influential on their PM2.5 concentration changes.
引用
收藏
页码:27257 / 27269
页数:13
相关论文
共 51 条
[1]   Factorizing changes in energy and environmental indicators through decomposition [J].
Ang, BW ;
Zhang, FQ ;
Choi, KH .
ENERGY, 1998, 23 (06) :489-495
[2]   Spatiotemporal Aspects of Real-Time PM2.5: Low- and Middle-Income Neighborhoods in Bangalore, India [J].
Both, Adam F. ;
Balakrishnan, Arun ;
Joseph, Bobby ;
Marshall, Julian D. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2011, 45 (13) :5629-5636
[3]   Global PM2.5-attributable health burden from 1990 to 2017: Estimates from the Global Burden of disease study 2017 [J].
Bu, Xiang ;
Xie, Zhonglei ;
Liu, Jing ;
Wei, Linyan ;
Wang, Xiqiang ;
Chen, Mingwei ;
Ren, Hui .
ENVIRONMENTAL RESEARCH, 2021, 197
[4]  
Carson RichardT., 1997, ENVIRON DEV ECON, V3, P433, DOI [10.1017/S1355770X97000235, DOI 10.1017/S1355770X97000235]
[5]   Household Cooking with Solid Fuels Contributes to Ambient PM2.5 Air Pollution and the Burden of Disease [J].
Chafe, Zoe A. ;
Brauer, Michael ;
Klimont, Zbigniew ;
Van Dingenen, Rita ;
Mehta, Sumi ;
Rao, Shilpa ;
Riahi, Keywan ;
Dentener, Frank ;
Smith, Kirk R. .
ENVIRONMENTAL HEALTH PERSPECTIVES, 2014, 122 (12) :1314-1320
[6]   Understanding the sustainable consumption of energy resources in global industrial sector: Evidences from 114 countries [J].
Chen, Xi ;
Shuai, Chenyang ;
Wu, Ya ;
Zhang, Yu .
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2021, 90
[7]   Decomposition of energy consumption and its decoupling with economic growth in the global agricultural industry [J].
Chen, Xi ;
Shuai, Chenyang ;
Zhang, Yu ;
Wu, Ya .
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2020, 81
[8]   Analysis on the carbon emission peaks of China's industrial, building, transport, and agricultural sectors [J].
Chen, Xi ;
Shuai, Chenyang ;
Wu, Ya ;
Zhang, Yu .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 709
[9]   Identifying the spatial effects and driving factors of urban PM2.5 pollution in China [J].
Cheng, Zhonghua ;
Li, Lianshui ;
Liu, Jun .
ECOLOGICAL INDICATORS, 2017, 82 :61-75
[10]   Socioeconomic and particulate air pollution correlates of heart disease risk [J].
Cox, Louis Anthony , Jr. .
ENVIRONMENTAL RESEARCH, 2018, 167 :386-392