title: Assessment of health and economic effects by PM2.5 pollution in Beijing: a combined exposure-response and computable general equilibrium analysis.
abstract: Assessment of the health and economic impacts of PM2.5 pollution is of great importance for urban air pollution prevention and control. In this study, we evaluate the damage of PM2.5 pollution using Beijing as an example. First, we use exposure-response functions to estimate the adverse health effects due to PM2.5 pollution. Then, the corresponding labour loss and excess medical expenditure are computed as two conducting variables. Finally, different from the conventional valuation methods, this paper introduces the two conducting variables into the computable general equilibrium (CGE) model to assess the impacts on sectors and the whole economic system caused by PM2.5 pollution. The results show that, substantial health effects of the residents in Beijing from PM2.5 pollution occurred in 2013, including 20,043 premature deaths and about one million other related medical cases. Correspondingly, using the 2010 social accounting data, Beijing gross domestic product loss due to the health impact of PM2.5 pollution is estimated as 1286.97 (95% CI: 488.58-1936.33) million RMB. This demonstrates that PM2.5 pollution not only has adverse health effects, but also brings huge economic loss.
authors.affiliation: a Institute of Climate Change & Public Policy, Nanjing University of Information Science and Technology , Nanjing , People's Republic of China.|b School of Computer and Software , Nanjing University of Information Science and Technology , Nanjing , People's Republic of China.
authors.forename: Guizhi
authors.initials: G
authors.lastname: Wang
authors.affiliation: c School of Mathematics and Statistics , Nanjing University of Information Science and Technology , Nanjing , People's Republic of China.
authors.forename: SaiJu
authors.initials: S
authors.lastname: Gu
authors.affiliation: c School of Mathematics and Statistics , Nanjing University of Information Science and Technology , Nanjing , People's Republic of China.
authors.forename: Jibo
authors.initials: J
authors.lastname: Chen
authors.affiliation: d School of Economics and Management , Nanjing University of Information Science and Technology , Nanjing , People's Republic of China.
authors.forename: Xianhua
authors.initials: X
authors.lastname: Wu
authors.affiliation: e Department of Mathematics and Statistics , University of Vermont , Burlington , VT , USA.
authors.forename: Jun
authors.initials: J
authors.lastname: Yu
mesh_terms: D000393:Air Pollutants / Q000009:adverse effects / Q000191:economics; D000397:Air Pollution / Q000009:adverse effects* / Q000191:economics*; D000068476:Beijing; D004781:Environmental Exposure / Q000009:adverse effects* / Q000191:economics*; D006801:Humans; D008962:Models, Theoretical; D010316:Particle Size; D052638:Particulate Matter / Q000009:adverse effects* / Q000191:economics*
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter
keywords: CGE; PM2.5; economic loss; exposure–response functions; health effects