title: Economic Impacts from PM2.5Pollution-Related Health Effects: A Case Study in Shanghai.
abstract: PM2.5pollution-related diseases cause additional medical expenses and work time loss, leading to macroeconomic impact in high PM2.5concentration areas. Previous economic impact assessments of air pollution focused on benefits from environmental regulations while ignoring climate policies. In this study, we examine the health and economic impacts from PM2.5pollution under various air pollution control strategies and climate policies scenarios in the megacity of Shanghai. The estimation adopts an integrated model combining a Greenhouse Gas and Air Pollution Interactions and Synergies (GAINS) model, exposure-response functions (ERFs), and a computable general equilibrium (CGE) model. The results show that without control measures, Shanghai's mortality caused by PM2.5pollution are estimated to be 192 400 cases in 2030 and the work time loss to be 72.1 h/cap annually. The corresponding GDP values and welfare losses would be approximately 2.26% and 3.14%, respectively. With an estimated control cost of 0.76% of local GDP, Shanghai would gain approximately 1.01% of local GDP through local air pollution control measures and climate policies. Furthermore, the application of multiregional integrated control strategies in neighboring provinces would be the most effective in reducing PM2.5concentration in Shanghai, leading to only 0.34% of GDP loss. At the sectoral level, labor-intensive sectors suffer more output loss from PM2.5pollution. Sectors with the highest control costs include power generation, iron and steel, and transport. The results indicate that the combination of multiregional integrated air pollution control strategies and climate policies would be cost-beneficial for Shanghai.
authors.affiliation: Key Lab on Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences , No. 72 Wenhua Road, Shenyang 110016, China.|School of Environmental Science and Engineering and ∥China Institute for Urban Governance, Shanghai Jiao Tong University , No. 800 Dongchuan Road, Minhang, Shanghai 200240, China.|University of Chinese Academy of Sciences , No. 19A Yuquan Road, Beijing 100049, China.
authors.forename: Rui
authors.identifier: http://orcid.org/0000-0002-5389-1199
authors.initials: R
authors.lastname: Wu
authors.affiliation: College of Environmental Sciences and Engineering, Peking University , No. 5 Yiheyuan Road, Beijing 100871, China.
authors.forename: Hancheng
authors.identifier: http://orcid.org/0000-0003-4251-4707
authors.initials: H
authors.lastname: Dai
authors.affiliation: School of Environmental Science and Engineering and ∥China Institute for Urban Governance, Shanghai Jiao Tong University , No. 800 Dongchuan Road, Minhang, Shanghai 200240, China.
authors.forename: Yong
authors.identifier: http://orcid.org/0000-0002-2284-1375
authors.initials: Y
authors.lastname: Geng
authors.affiliation: Department of Social Engineering, Tokyo Institute of Technology , 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan.
authors.forename: Yang
authors.initials: Y
authors.lastname: Xie
authors.forename: Toshihiko
authors.initials: T
authors.lastname: Masui
authors.affiliation: School of Environmental Science and Engineering and ∥China Institute for Urban Governance, Shanghai Jiao Tong University , No. 800 Dongchuan Road, Minhang, Shanghai 200240, China.
authors.forename: Zhiqing
authors.initials: Z
authors.lastname: Liu
authors.affiliation: School of Environmental Science and Engineering and ∥China Institute for Urban Governance, Shanghai Jiao Tong University , No. 800 Dongchuan Road, Minhang, Shanghai 200240, China.
authors.forename: Yiying
authors.initials: Y
authors.lastname: Qian
mesh_terms: D000393:Air Pollutants; D000397:Air Pollution; D002681:China; D006801:Humans; D008962:Models, Theoretical; D052638:Particulate Matter
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter