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Economic Impacts from PM2.5 Pollution-Related Health Effects in China: A Provincial-Level Analysis.
Xie, Yang; Dai, Hancheng; Dong, Huijuan; Hanaoka, Tatsuya; Masui, Toshihiko.
Afiliação
  • Xie Y; Department of Social Engineering, Tokyo Institute of Technology , 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan.
  • Dai H; Center for Social and Environmental Systems Research, National Institute for Environmental Studies , 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan.
  • Dong H; Center for Social and Environmental Systems Research, National Institute for Environmental Studies , 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan.
  • Hanaoka T; Center for Social and Environmental Systems Research, National Institute for Environmental Studies , 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan.
  • Masui T; Center for Social and Environmental Systems Research, National Institute for Environmental Studies , 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan.
Environ Sci Technol ; 50(9): 4836-43, 2016 05 03.
Article em En | MEDLINE | ID: mdl-27063584
ABSTRACT
This study evaluates the PM2.5 pollution-related health impacts on the national and provincial economy of China using a computable general equilibrium (CGE) model and the latest nonlinear exposure-response functions. Results show that the health and economic impacts may be substantial in provinces with a high PM2.5 concentration. In the WoPol scenario without PM2.5 pollution control policy, we estimate that China experiences a 2.00% GDP loss and 25.2 billion USD in health expenditure from PM2.5 pollution in 2030. In contrast, with control policy in the WPol scenario, a control investment of 101.8 billion USD (0.79% of GDP) and a gain of 1.17% of China's GDP from improving PM2.5 pollution are projected. At the provincial level, GDP loss in 2030 in the WoPol scenario is high in Tianjin (3.08%), Shanghai (2.98%), Henan (2.32%), Beijing (2.75%), and Hebei (2.60%) and the top five provinces with the highest additional health expenditure are Henan, Sichuan, Shandong, Hebei, and Jiangsu. Controlling PM2.5 pollution could bring positive benefits in two-thirds of provinces. Tianjin, Shanghai, Beijing, Henan, Jiangsu, and Hebei experience most benefits from PM2.5 pollution control as a result of a higher PM2.5 pollution and dense population distribution. Conversely, the control investment is higher than GDP gain in some underdeveloped provinces, such as Ningxia, Guizhou, Shanxi, Gansu, and Yunnan.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluição Ambiental / Modelos Teóricos Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluição Ambiental / Modelos Teóricos Idioma: En Ano de publicação: 2016 Tipo de documento: Article