Health damages from air pollution in China

被引:316
|
作者
Matus, Kira [2 ]
Nam, Kyung-Min [1 ]
Selin, Noelle E. [3 ,4 ]
Lamsal, Lok N. [5 ]
Reilly, John M. [1 ]
Paltsev, Sergey [1 ]
机构
[1] MIT, Joint Program Sci & Policy Global Change, Cambridge, MA 02139 USA
[2] Univ London London Sch Econ & Polit Sci, Dept Govt, London WC2A 2AE, England
[3] MIT, Engn Syst Div, Cambridge, MA 02139 USA
[4] MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA 02139 USA
[5] Dalhousie Univ, Dept Phys & Atmospher Sci, Halifax, NS B3H 4R2, Canada
基金
美国海洋和大气管理局; 美国国家科学基金会; 美国国家航空航天局;
关键词
Air pollution; Human health; China; EPPA; LONG-TERM EXPOSURE; DAILY MORTALITY; RESPIRATORY MORBIDITY; PARTICULATE MATTER; BENEFITS;
D O I
10.1016/j.gloenvcha.2011.08.006
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study evaluates air pollution-related health impacts on the Chinese economy by using an expanded version of the Emissions Prediction and Policy Analysis model. We estimated that marginal welfare impact to the Chinese economy of ozone and particulate-matter concentrations above background levels increased from 1997 US$22 billion in 1975 to 1997 US$112 billion in 2005, despite improvements in overall air quality. This increase is a result of the growing urban population and rising wages that thus increased the value of lost labor and leisure. In relative terms, however, welfare losses from air pollution decreased from 14% of the historical welfare level to 5% during the same period because the total size of the economy grew much faster than the absolute air pollution damages. In addition, we estimated that particulate-matter pollution alone led to a gross domestic product loss of 1997 US$64 billion in 1995. Given that the World Bank's comparable estimate drawn from a static approach was only 1997 US$34 billion, this result suggests that conventional static methods neglecting the cumulative impact of pollution-caused welfare damage are likely to underestimate pollution-health costs substantially. However, our analysis of uncertainty involved in exposure-response functions suggests that our central estimates are susceptible to significantly large error bars of around +/- 80%. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:55 / 66
页数:12
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