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Value Assessment of Health Losses Caused by PM 2.5 Pollution in Cities of Atmospheric Pollution Transmission Channel in the Beijing–Tianjin–Hebei Region, China

Author

Listed:
  • Zhixiang Xie

    (College of Environment and Planning, Henan University, Kaifeng 475004, China
    These authors contributed equally to this work.)

  • Yang Li

    (College of Environment and Planning, Henan University, Kaifeng 475004, China
    These authors contributed equally to this work.)

  • Yaochen Qin

    (College of Environment and Planning, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions, Henan University, Kaifeng 475004, China)

  • Peijun Rong

    (College of Tourism and Exhibition, Henan University of Economics and Law, Zhengzhou 450046, China)

Abstract

A set of exposure–response coefficients between fine particulate matter (PM 2.5 ) pollution and different health endpoints were determined through the meta-analysis method based on 2254 studies collected from the Web of Science database. With data including remotely-sensed PM 2.5 concentration, demographic data, health data, and survey data, a Poisson regression model was used to assess the health losses and their economic value caused by PM 2.5 pollution in cities of atmospheric pollution transmission channel in the Beijing–Tianjin–Hebei region, China. The results showed the following: (1) Significant exposure–response relationships existed between PM 2.5 pollution and a set of health endpoints, including all-cause death, death from circulatory disease, death from respiratory disease, death from lung cancer, hospitalization for circulatory disease, hospitalization for respiratory disease, and outpatient emergency treatment. Each increase of 10 μg/m 3 in PM 2.5 concentration led to an increase of 5.69% (95% CI (confidence interval): 4.12%, 7.85%), 6.88% (95% CI: 4.94%, 9.58%), 4.71% (95% CI: 2.93%, 7.57%), 9.53% (95% CI: 6.84%, 13.28%), 5.33% (95% CI: 3.90%, 7.27%), 5.50% (95% CI: 4.09%, 7.38%), and 6.35% (95% CI: 4.71%, 8.56%) for above-mentioned health endpoints, respectively. (2) PM 2.5 pollution posed a serious threat to residents’ health. In 2016, the number of deaths, hospitalizations, and outpatient emergency visits induced by PM 2.5 pollution in cities of atmospheric pollution transmission channel in the Beijing–Tianjin–Hebei region reached 309,643, 1,867,240, and 47,655,405, respectively, accounting for 28.36%, 27.02% and 30.13% of the total number of deaths, hospitalizations, and outpatient emergency visits, respectively. (3) The economic value of health losses due to PM 2.5 pollution in the study area was approximately $28.1 billion, accounting for 1.52% of the gross domestic product. The economic value of health losses was higher in Beijing, Tianjin, Shijiazhuang, Zhengzhou, Handan, Baoding, and Cangzhou, but lower in Taiyuan, Yangquan, Changzhi, Jincheng, and Hebi.

Suggested Citation

  • Zhixiang Xie & Yang Li & Yaochen Qin & Peijun Rong, 2019. "Value Assessment of Health Losses Caused by PM 2.5 Pollution in Cities of Atmospheric Pollution Transmission Channel in the Beijing–Tianjin–Hebei Region, China," IJERPH, MDPI, vol. 16(6), pages 1-17, March.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:6:p:1012-:d:215608
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    References listed on IDEAS

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    1. Xiaoqi Guo & James Hammitt, 2009. "Compensating Wage Differentials with Unemployment: Evidence from China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(2), pages 187-209, February.
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    Cited by:

    1. Qin Liao & Wangqiang Jin & Yan Tao & Jiansheng Qu & Yong Li & Yibo Niu, 2020. "Health and Economic Loss Assessment of PM 2.5 Pollution during 2015–2017 in Gansu Province, China," IJERPH, MDPI, vol. 17(9), pages 1-18, May.
    2. Longwu Liang & Zhenbo Wang, 2021. "Control Models and Spatiotemporal Characteristics of Air Pollution in the Rapidly Developing Urban Agglomerations," IJERPH, MDPI, vol. 18(11), pages 1-16, June.

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