Strategizing the relation between urbanization and air pollution: Empirical evidence from global countries

被引:182
作者
Wang, Shaojian [1 ,2 ]
Gao, Shuang [1 ]
Li, Shijie [3 ]
Feng, Kuishuang [4 ]
机构
[1] Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China
[2] MIT, Dept Urban Studies & Planning, Cambridge, MA 02138 USA
[3] Guangdong Univ Technol, Sch Architecture & Urban Planning, Guangzhou 510090, Guangdong, Peoples R China
[4] Univ Maryland, Dept Geog Sci, College Pk, MD 20740 USA
关键词
PM2.5; concentrations; Urbanization; Income level; Panel data model; Global countries; PARTICULATE MATTER PM2.5; ECONOMIC-GROWTH; ENERGY-CONSUMPTION; CO2; EMISSIONS; POPULATION EXPOSURE; SPATIAL VARIATIONS; URBAN SPRAWL; RIVER DELTA; QUALITY; CHINA;
D O I
10.1016/j.jclepro.2019.118615
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
While urbanization has boosted the global economy, it is putting increasing pressure on air quality. Previous studies on the link between urbanization and air pollution have tended to focus on individual aspects of urbanization. In addition, research into the global scale has been scarce. This study constructed an urbanization index system integrating demographic, spatial, economic, and social components and divided 190 countries into 4 subpanels according to the national income levels, in order to identify the heterogeneity effects of urbanization on PM2.5 pollutants for the period 1998-2014 from a global perspective. The results of the panel regression models prove that the effect of urbanization on atmospheric contamination varied significantly across the income-based subpanels. The model analysis shows that demographic urbanization has a significant positive effect on PM2.5 concentrations in all subpanels. Spatial urbanization had exerted a negative effect on air pollution in high-income countries and a positive influence on air pollution in other countries. Social urbanization, in contrast, presented the opposite trend. Additionally, the model analysis shows that the economic urbanization in upper-middle-income and high-income groups can effectively alleviate PM2.5 pollutants. This study indicated that the level of development needs to be taken into account when government policy makers formulate targeted measures to control haze and improve air quality. (C) 2019 Elsevier Ltd. All rights reserved.
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页数:10
相关论文
共 51 条
[1]   Biomass energy consumption, economic growth and carbon emissions: Fresh evidence from West Africa using a simultaneous equation model [J].
Adewuyi, Adeolu O. ;
Awodumi, Olabanji B. .
ENERGY, 2017, 119 :453-471
[2]   Exploring the relationship between urbanization, energy consumption, and CO2 emission in MENA countries [J].
Al-mulali, Usama ;
Fereidouni, Hassan Gholipour ;
Lee, Janice Y. M. ;
Sab, Che Normee Binti Che .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 23 :107-112
[3]  
[Anonymous], WORLD BANK PUBL
[4]   Internal migration and urbanization in China: Impacts on population exposure to household air pollution (2000-2010) [J].
Aunan, Kristin ;
Wang, Shuxiao .
SCIENCE OF THE TOTAL ENVIRONMENT, 2014, 481 :186-195
[5]   Megacities, air quality and climate [J].
Baklanov, Alexander ;
Molina, Luisa T. ;
Gauss, Michael .
ATMOSPHERIC ENVIRONMENT, 2016, 126 :235-249
[6]   ECONOMIC-GROWTH AND THE ENVIRONMENT - WHOSE GROWTH - WHOSE ENVIRONMENT [J].
BECKERMAN, W .
WORLD DEVELOPMENT, 1992, 20 (04) :481-496
[7]   The representation of emissions from megacities in global emission inventories [J].
Butler, T. M. ;
Lawrence, M. G. ;
Gurjar, B. R. ;
Van Aardenne, J. ;
Schultz, M. ;
Lelieveld, J. .
ATMOSPHERIC ENVIRONMENT, 2008, 42 (04) :703-719
[8]   Global and regional trends in particulate air pollution and attributable health burden over the past 50 years [J].
Butt, E. W. ;
Turnock, S. T. ;
Rigby, R. ;
Reddington, C. L. ;
Yoshioka, M. ;
Johnson, J. S. ;
Regayre, L. A. ;
Pringle, K. J. ;
Mann, G. W. ;
Spracklen, D. V. .
ENVIRONMENTAL RESEARCH LETTERS, 2017, 12 (10)
[9]   Impacts of energy consumption structure, energy intensity, economic growth, urbanization on PM2.5 concentrations in countries globally [J].
Chen, Jing ;
Zhou, Chunshan ;
Wang, Shaojian ;
Li, Shijie .
APPLIED ENERGY, 2018, 230 :94-105
[10]   Identifying the socioeconomic determinants of population exposure to particulate matter (PM2.5) in China using geographically weighted regression modeling [J].
Chen, Jing ;
Zhou, Chunshan ;
Wang, Shaojian ;
Hu, Jincan .
ENVIRONMENTAL POLLUTION, 2018, 241 :494-503