Economic Impacts from PM2.5 Pollution-Related Health Effects in China: A Provincial-Level Analysis
Citations Over TimeTop 1% of 2016 papers
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.
Related Papers
- → Introduction to Computable General Equilibrium Models(2020)24 cited
- → Assessing the Economic Impact of Tourism: A Computable General Equilibrium Modelling Approach(2016)10 cited
- → An Introduction to CGE Modelling(2016)1 cited
- → Multiregional Models of General Equilibrium: Framework and Applications(2017)
- → THE CONCEPT OF COMPUTABLE GENERAL EQUILIBRIUM MODELS(2022)