Economic impacts from PM2.5 pollution-related health effects in China's road transport sector: A provincial-level analysis

被引:75
作者
Tian, Xu [1 ]
Dai, Hancheng [2 ]
Geng, Yong [1 ,3 ]
Wilson, Jeffrey [1 ]
Wu, Rui [1 ,4 ]
Xie, Yang [5 ]
Hao, Han [6 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Environm Sci & Engn, Shanghai 200240, Peoples R China
[2] Peking Univ, Coll Environm Sci & Engn, 5 Yiheyuan Rd, Beijing 100871, Peoples R China
[3] Shanghai Inst Pollut Control & Ecol Secur, Shanghai 200092, Peoples R China
[4] Nanjing Normal Univ, Sch Business, 1 Wenyuan Rd, Nanjing 210023, Jiangsu, Peoples R China
[5] Natl Inst Environm Studies, Social & Environm Syst Div, 16-2 Onogawa, Tsukuba, Ibaraki 3058506, Japan
[6] Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China
基金
中国博士后科学基金;
关键词
FINE PARTICULATE MATTER; OUTDOOR AIR-POLLUTION; CO-BENEFITS; CLIMATE-CHANGE; PUBLIC-HEALTH; QUALITY; MORTALITY; POLICIES; CONSEQUENCES; CONSUMPTION;
D O I
10.1016/j.envint.2018.03.030
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Economic impact assessments of air pollution-related health effects from a sectoral perspective in China is still deficient. This study evaluates the PM2.5 pollution-related health impacts of the road transport sector on China's economy at both national and provincial levels in 2030 under various air mitigation technologies scenarios. Health impacts are estimated using an integrated approach that combines the Greenhouse Gas and Air Pollution Interactions and Synergies (GAINS) model, a computable general equilibrium (CGE) model and a health model. Results show that at a national level, the road transport sector leads to 163.64 thousand deaths per year, increases the per capita risk of morbidity by 0.37% and accounts for 1.43 billion Yuan in health care expenditures. We estimate 442.90 billion Yuan of the value of statistical life loss and 2.09 h/capita of work time loss in 2015. Without additional control measures, air pollution related to the transport sector will cause 177.50 thousand deaths in 2030, a 0.40% per capita increase in the risk of morbidity, accounting for 4.12 billion Yuan in health care expenditures, 737.15 billion Yuan of statistical life loss and 2.23 h/capita of work time loss. Based on our model, implementing the most strict control strategy scenario would decrease mortality by 42.14%, morbidity risk by 42.14%, health care expenditures by 41.94%, statistical life loss by 26.22% and hours of work time loss by 42.65%, comparing with the no control measure scenario. In addition, PM2.5 pollution from the road transport sector will cause 0.68% GDP loss in 2030. At a provincial level, GDP losses in 14 out of 30 provinces far exceed the national rate. Henan (1.20%), Sichuan (1.07%), Chongqing (0.99%), Hubei (0.94%), and Shandong (0.90%) would experience the highest GDP loss in 2030. Implementing control strategies to reduce PM2.5 pollution in the road transport sector could bring positive benefits in half of the Chinese provinces especially in provinces that suffer greater health impacts from the road transport sector (such as Henan and Sichuan).
引用
收藏
页码:220 / 229
页数:10
相关论文
共 45 条
[1]   Impact of air pollutants from surface transport sources on human health: A modeling and epidemiological approach [J].
Aggarwal, Preeti ;
Jain, Suresh .
ENVIRONMENT INTERNATIONAL, 2015, 83 :146-157
[2]  
[Anonymous], 2012, HUNG GEOGR B, DOI DOI 10.1787/1999155X
[3]   Addressing Global Mortality from Ambient PM2.5 [J].
Apte, Joshua S. ;
Marshall, Julian D. ;
Cohen, Aaron J. ;
Brauer, Michael .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2015, 49 (13) :8057-8066
[4]   Bounding the role of black carbon in the climate system: A scientific assessment [J].
Bond, T. C. ;
Doherty, S. J. ;
Fahey, D. W. ;
Forster, P. M. ;
Berntsen, T. ;
DeAngelo, B. J. ;
Flanner, M. G. ;
Ghan, S. ;
Kaercher, B. ;
Koch, D. ;
Kinne, S. ;
Kondo, Y. ;
Quinn, P. K. ;
Sarofim, M. C. ;
Schultz, M. G. ;
Schulz, M. ;
Venkataraman, C. ;
Zhang, H. ;
Zhang, S. ;
Bellouin, N. ;
Guttikunda, S. K. ;
Hopke, P. K. ;
Jacobson, M. Z. ;
Kaiser, J. W. ;
Klimont, Z. ;
Lohmann, U. ;
Schwarz, J. P. ;
Shindell, D. ;
Storelvmo, T. ;
Warren, S. G. ;
Zender, C. S. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (11) :5380-5552
[5]   Assessing the impact of aviation environmental policies on public health [J].
Brunelle-Yeung, Elza ;
Masek, Tudor ;
Rojo, Julien J. ;
Levy, Jonathan I. ;
Arunachalam, Saravanan ;
Miller, Sondra M. ;
Barrett, Steven R. H. ;
Kuhn, Stephen R. ;
Waitz, Ian A. .
TRANSPORT POLICY, 2014, 34 :21-28
[6]   The impact of the "Air Pollution Prevention and Control Action Plan" on PM2.5 concentrations in Jing-Jin-Ji region during 2012-2020 [J].
Cai, Siyi ;
Wang, Yangjun ;
Zhao, Bin ;
Wang, Shuxiao ;
Chang, Xing ;
Hao, Jiming .
SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 580 :197-209
[7]   Association between long-term exposure to outdoor air pollution and mortality in China: A cohort study [J].
Cao, Jie ;
Yang, Chunxue ;
Li, Jianxin ;
Chen, Renjie ;
Chen, Bingheng ;
Gu, Dongfeng ;
Kan, Haidong .
JOURNAL OF HAZARDOUS MATERIALS, 2011, 186 (2-3) :1594-1600
[8]   Climate change: Hidden health benefits of greenhouse gas mitigation [J].
Cifuentes, L ;
Borja-Aburto, VH ;
Gouveia, N ;
Thurston, G ;
Davis, DL .
SCIENCE, 2001, 293 (5533) :1257-1259
[9]   Physical and economic consequences of climate change in Europe [J].
Ciscar, Juan-Carlos ;
Iglesias, Ana ;
Feyen, Luc ;
Szabo, Laszlo ;
Van Regemorter, Denise ;
Amelung, Bas ;
Nicholls, Robert ;
Watkiss, Paul ;
Christensen, Ole B. ;
Dankers, Rutger ;
Garrote, Luis ;
Goodess, Clare M. ;
Hunt, Alistair ;
Moreno, Alvaro ;
Richards, Julie ;
Soria, Antonio .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2011, 108 (07) :2678-2683
[10]   Estimating health and economic benefits of reductions in air pollution from agriculture [J].
Giannadaki, Despina ;
Giannakis, Elias ;
Pozzer, Andrea ;
Lelieveld, Jos .
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 622 :1304-1316