Literature DB >> 28410806

External costs of PM2.5 pollution in Beijing, China: Uncertainty analysis of multiple health impacts and costs.

Hao Yin1, Massimo Pizzol2, Linyu Xu3.   

Abstract

Some cities in China are facing serious air pollution problems including high concentrations of particles, SO2 and NOx. Exposure to PM2.5, one of the primary air pollutants in many cities in China, is highly correlated with various adverse health impacts and ultimately represents a cost for society. The aim of this study is to assess health impacts and external costs related to PM2.5 pollution in Beijing, China with different baseline concentrations and valuation methods. The idea is to provide a reasonable estimate of the total health impacts and external cost due to PM2.5 pollution, as well as a quantification of the relevant uncertainty. PM2.5 concentrations were retrieved for the entire 2012 period in 16 districts of Beijing. The various PM2.5 related health impacts were identified and classified to avoid double counting. Exposure-response coefficients were then obtained from literature. Both the value of statistical life (VSL) and the amended human capital (AHC) approach were applied for external costs estimation, which could provide the upper and lower bound of the external costs due to PM2.5. To fully understand the uncertainty levels, the external cost distribution was determined via Monte Carlo simulation based on the uncertainty of the parameters such as PM2.5 concentration, exposure-response coefficients, and economic cost per case. The results showed that the external costs were equivalent to around 0.3% (AHC, China's guideline: C0 = 35 μg/m3) to 0.9% (VSL, WHO guideline: C0 = 10 μg/m3) of regional GDP depending on the valuation method and on the assumed baseline PM2.5 concentration (C0). Among all the health impacts, the economic loss due to premature deaths accounted for more than 80% of the overall external costs. The results of this study could help policymakers prioritizing the PM2.5 pollution control interventions and internalize the external costs through the application of economic policy instruments.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Economic loss; Externality; Fine particulate matter; Health impacts; Uncertainty analysis

Mesh:

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Year:  2017        PMID: 28410806     DOI: 10.1016/j.envpol.2017.02.029

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  9 in total

1.  Health benefit assessment of PM2.5 reduction in Pearl River Delta region of China using a model-monitor data fusion approach.

Authors:  Jiabin Li; Yun Zhu; James T Kelly; Carey J Jang; Shuxiao Wang; Adel Hanna; Jia Xing; Che-Jen Lin; Shicheng Long; Lian Yu
Journal:  J Environ Manage       Date:  2018-12-26       Impact factor: 6.789

2.  Spatiotemporal Assessment of PM2.5-Related Economic Losses from Health Impacts during 2014⁻2016 in China.

Authors:  Yang Yang; Liwen Luo; Chao Song; Hao Yin; Jintao Yang
Journal:  Int J Environ Res Public Health       Date:  2018-06-16       Impact factor: 3.390

3.  Combining Data from Multiple Sources to Evaluate Spatial Variations in the Economic Costs of PM2.5-Related Health Conditions in the Beijing-Tianjin-Hebei Region.

Authors:  Xiya Zhang; Haibo Hu
Journal:  Int J Environ Res Public Health       Date:  2019-10-18       Impact factor: 3.390

4.  Spatial-Temporal Evolution of Health Impact and Economic Loss upon Exposure to PM2.5 in China.

Authors:  Xialing Sun; Rui Zhang; Geyi Wang
Journal:  Int J Environ Res Public Health       Date:  2022-02-09       Impact factor: 3.390

5.  A Health Impact and Economic Loss Assessment of O3 and PM2.5 Exposure in China From 2015 to 2020.

Authors:  Xiangxue Zhang; Changxiu Cheng; Hui Zhao
Journal:  Geohealth       Date:  2022-03-01

6.  Dimethylarginine dimethylaminohydrolase 1 protects PM2.5 exposure-induced lung injury in mice by repressing inflammation and oxidative stress.

Authors:  Junling Gao; Tong Lei; Hongyun Wang; Kai Luo; Yuanli Wang; Bingqing Cui; Zhuoran Yu; Xiaoqi Hu; Fang Zhang; Yingjie Chen; Wenjun Ding; Zhongbing Lu
Journal:  Part Fibre Toxicol       Date:  2022-10-14       Impact factor: 9.112

7.  Spatiotemporal assessment of health burden and economic losses attributable to short-term exposure to ground-level ozone during 2015-2018 in China.

Authors:  Zihan Zhang; Minghong Yao; Wenjing Wu; Xing Zhao; Juying Zhang
Journal:  BMC Public Health       Date:  2021-06-05       Impact factor: 3.295

8.  Health and Economic Loss Assessment of PM2.5 Pollution during 2015-2017 in Gansu Province, China.

Authors:  Qin Liao; Wangqiang Jin; Yan Tao; Jiansheng Qu; Yong Li; Yibo Niu
Journal:  Int J Environ Res Public Health       Date:  2020-05-07       Impact factor: 3.390

9.  Projecting Lifetime Health Outcomes and Costs Associated with the Ambient Fine Particulate Matter Exposure among Adult Women in Korea.

Authors:  Gyeyoung Choi; Yujeong Kim; Gyeongseon Shin; SeungJin Bae
Journal:  Int J Environ Res Public Health       Date:  2022-02-22       Impact factor: 3.390

  9 in total

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