Clean air for some: Unintended spillover effects of regional air pollution policies

被引:126
|
作者
Fang, Delin [1 ]
Chen, Bin [1 ]
Hubacek, Klaus [2 ,3 ,4 ,5 ]
Ni, Ruijing [6 ]
Chen, Lulu [6 ]
Feng, Kuishuang [4 ]
Lin, Jintai [6 ]
机构
[1] Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100875, Peoples R China
[2] Univ Groningen, Ctr Energy & Environm Sci IVEM, ESRIG, NL-9747 AG Groningen, Netherlands
[3] Masaryk Univ, Dept Environm Studies, Brno, Czech Republic
[4] Univ Maryland, Dept Geog Sci, College Pk, MD 20740 USA
[5] Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria
[6] Peking Univ, Lab Climate & Ocean Atmosphere Studies, Dept Atmospher & Ocean Sci, Sch Phys, Beijing 100871, Peoples R China
来源
SCIENCE ADVANCES | 2019年 / 5卷 / 04期
基金
中国国家自然科学基金;
关键词
COMPARATIVE RISK-ASSESSMENT; INTERNATIONAL-TRADE; ENVIRONMENTAL IMPACTS; GLOBAL BURDEN; CO-BENEFITS; CHINA; WATER; CONSUMPTION; EMISSIONS; QUALITY;
D O I
10.1126/sciadv.aav4707
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
China has enacted a number of ambitious pollution control policies to mitigate air pollution in urban areas. Unintended side effects of these policies to other environmental policy arenas and regions have largely been ignored. To bridge this gap, we use a multiregional input-output model in combination with an atmospheric chemical transport model to simulate clean air policy scenarios and evaluate their environmental impacts on primary PM2.5 and secondary precursor emissions, as well as CO2 emissions and water consumption, in the target region and spillover effects to other regions. Our results show that the reduction in primary PM2.5 and secondary precursor emissions in the target regions comes at the cost of increasing emissions especially in neighboring provinces. Similarly, co-benefits of lower CO2 emissions and reduced water consumption in the target region are achieved at the expense of higher impacts elsewhere, through outsourcing production to less developed regions in China.
引用
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页数:10
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