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A platform for research: civil engineering, architecture and urbanism
Health effects of ozone and particulate matter pollution in China: a province-level CGE analysis
https://orcid.org/0000-0002-4579-4815
https://orcid.org/0000-0002-0728-3782
https://orcid.org/0000-0003-3166-8620
Abstract In this study, we estimate the cost of $ PM_{2.5} $ and $ O_{3} $ pollution in China and explore how it differs by province. For the analysis, we extend the China Regional Energy Model—a computable general equilibrium model of the Chinese economy—to explicitly represent the pollution-health linkage within a larger economic system. Our results show that health damage from air pollution in China is substantially large. For each year between 2010 and 2030, China’s welfare loss from excess pollution is estimated to be 3.2–5.1% of the baseline level when welfare is measured as the sum of consumption and leisure. The $ PM_{2.5} $ share of the costs was > 13 times as large as the $ O_{3} $ share, and premature deaths from chronic exposure to $ PM_{2.5} $ were the single most important health endpoint, accounting for ≤ 56% of the total costs. Cross-regional heterogeneity is substantial, and populous and wealthy Eastern China is subject to particularly large health damage. When the size of provincial economies is controlled for, however, the dominance of the eastern region is less obvious and several inland provinces (e.g., Henan, Shanxi, and Chongqing) also suffer high pollution-health costs, due to low air quality and fast productivity growth. Finally, broader economic loss from inefficient resource allocation and its cumulative effects, which is often neglected in static analysis, accounts for > 29% of the total costs. Overlooking this cost component will, in particular, lead to substantial underestimation for China’s central and western regions, whose economies are growing fast.
Health effects of ozone and particulate matter pollution in China: a province-level CGE analysis
https://orcid.org/0000-0002-4579-4815
https://orcid.org/0000-0002-0728-3782
https://orcid.org/0000-0003-3166-8620
Abstract In this study, we estimate the cost of $ PM_{2.5} $ and $ O_{3} $ pollution in China and explore how it differs by province. For the analysis, we extend the China Regional Energy Model—a computable general equilibrium model of the Chinese economy—to explicitly represent the pollution-health linkage within a larger economic system. Our results show that health damage from air pollution in China is substantially large. For each year between 2010 and 2030, China’s welfare loss from excess pollution is estimated to be 3.2–5.1% of the baseline level when welfare is measured as the sum of consumption and leisure. The $ PM_{2.5} $ share of the costs was > 13 times as large as the $ O_{3} $ share, and premature deaths from chronic exposure to $ PM_{2.5} $ were the single most important health endpoint, accounting for ≤ 56% of the total costs. Cross-regional heterogeneity is substantial, and populous and wealthy Eastern China is subject to particularly large health damage. When the size of provincial economies is controlled for, however, the dominance of the eastern region is less obvious and several inland provinces (e.g., Henan, Shanxi, and Chongqing) also suffer high pollution-health costs, due to low air quality and fast productivity growth. Finally, broader economic loss from inefficient resource allocation and its cumulative effects, which is often neglected in static analysis, accounts for > 29% of the total costs. Overlooking this cost component will, in particular, lead to substantial underestimation for China’s central and western regions, whose economies are growing fast.
Health effects of ozone and particulate matter pollution in China: a province-level CGE analysis
https://orcid.org/0000-0002-4579-4815
https://orcid.org/0000-0002-0728-3782
https://orcid.org/0000-0003-3166-8620
Abstract In this study, we estimate the cost of $ PM_{2.5} $ and $ O_{3} $ pollution in China and explore how it differs by province. For the analysis, we extend the China Regional Energy Model—a computable general equilibrium model of the Chinese economy—to explicitly represent the pollution-health linkage within a larger economic system. Our results show that health damage from air pollution in China is substantially large. For each year between 2010 and 2030, China’s welfare loss from excess pollution is estimated to be 3.2–5.1% of the baseline level when welfare is measured as the sum of consumption and leisure. The $ PM_{2.5} $ share of the costs was > 13 times as large as the $ O_{3} $ share, and premature deaths from chronic exposure to $ PM_{2.5} $ were the single most important health endpoint, accounting for ≤ 56% of the total costs. Cross-regional heterogeneity is substantial, and populous and wealthy Eastern China is subject to particularly large health damage. When the size of provincial economies is controlled for, however, the dominance of the eastern region is less obvious and several inland provinces (e.g., Henan, Shanxi, and Chongqing) also suffer high pollution-health costs, due to low air quality and fast productivity growth. Finally, broader economic loss from inefficient resource allocation and its cumulative effects, which is often neglected in static analysis, accounts for > 29% of the total costs. Overlooking this cost component will, in particular, lead to substantial underestimation for China’s central and western regions, whose economies are growing fast.
Health effects of ozone and particulate matter pollution in China: a province-level CGE analysis
Nam, Kyung-Min (author) / Zhang, Xu (author) / Zhong, Min (author) / Saikawa, Eri (author) / Zhang, Xiliang (author)
2019
Article (Journal)
Electronic Resource
English
BKL:
83.64$jRegionalwirtschaft
/
74.12
Stadtgeographie, Siedlungsgeographie
/
38.00$jGeowissenschaften: Allgemeines
/
38.00
Geowissenschaften: Allgemeines
/
83.64
Regionalwirtschaft
/
74.12$jStadtgeographie$jSiedlungsgeographie
RVK:
ELIB39
/
ELIB18
/
ELIB45
Local classification FBW:
oek 4450
Health effects of ozone and particulate matter pollution in China: a province-level CGE analysis
| Online Contents | 2019
Modeling Regional/Urban Ozone and Particulate Matter in Beijing, China
| Taylor & Francis Verlag | 2009
A Global Perspective of Fine Particulate Matter Pollution and Its Health Effects
| Springer Verlag | 2017