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Economic Impacts from PM2.5 Pollution-Related Health Effects in China: A Provincial-Level Analysis
- Source :
- Environmental Science & Technology. 50:4836-4843
- Publication Year :
- 2016
- Publisher :
- American Chemical Society (ACS), 2016.
-
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.
- Subjects :
- Pollution
Computable general equilibrium
China
020209 energy
media_common.quotation_subject
Environmental pollution
02 engineering and technology
General Chemistry
Models, Theoretical
Investment (macroeconomics)
Agricultural economics
Municipal level
Beijing
Environmental protection
0202 electrical engineering, electronic engineering, information engineering
Economics
Humans
Environmental Chemistry
Particulate Matter
Economic impact analysis
Environmental Pollution
media_common
Subjects
Details
- ISSN :
- 15205851 and 0013936X
- Volume :
- 50
- Database :
- OpenAIRE
- Journal :
- Environmental Science & Technology
- Accession number :
- edsair.doi.dedup.....00a830acc87f27dda282f1247da27248
- Full Text :
- https://doi.org/10.1021/acs.est.5b05576