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Health and Economic Loss Assessment of PM 2.5 Pollution during 2015–2017 in Gansu Province, China

Author

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  • Qin Liao

    (Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
    Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China)

  • Wangqiang Jin

    (Institute for Environmental Strategy, Gansu Academy of Eco-environmental Sciences, Lanzhou 730020, China)

  • Yan Tao

    (Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
    Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China)

  • Jiansheng Qu

    (Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China)

  • Yong Li

    (Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
    Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China)

  • Yibo Niu

    (Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China)

Abstract

Many studies have reported that air pollution, especially fine particulate matter (PM 2.5 ), has a significant impact on health and causes economic loss. Gansu Province is in the northwest of China, which is a typical economically underdeveloped area. However, few studies have evaluated the economic loss of PM 2.5 related to health effects in this province. In this study, a log-linear exposure-response function was used to estimate the health impact of PM 2.5 in 14 cities in Gansu Province from 2015 to 2017, and the amended human capital (AHC) and cost of illness (COI) method were used to evaluate the related economic loss caused by the health impact from PM 2.5 . The results show that the estimated total number of health endpoints attributed to PM 2.5 pollution were 1,644,870 (95%CI: 978,484–2,215,921), 1,551,447 (95%CI: 917,025–2,099,182) and 1,531,372 (95%CI: 899,769–2,077,772) in Gansu Province from 2015 to 2017, respectively. Correspondingly, the economic losses related to health damage caused by PM 2.5 pollution were 42,699 (95%CI: 32,380–50,768) million Chinese Yuan (CNY), 43,982 (95%CI: 33,305–52,386) million CNY and 44,261 (95%CI: 33,306–52,954) million CNY, which were equivalent to 6.45% (95%CI: 4.89%–7.67%), 6.28% (95%CI: 4.75%–7.48%), and 5.93% (95%CI: 4.64%–7.10%) of the region Gross Domestic Product (GDP) from 2015 to 2017, respectively. It could be seen that the proportions of health economic loss to GDP were generally high, although the proportion had a slight downward trend. The economic loss from chronic bronchitis and all-cause mortality accounted for more than 94% of the total economic loss. The health impact, economic loss and per capita economic loss in Lanzhou, the provincial capital city of Gansu, were obviously higher than other cities from the same province. The economic loss in Linxia accounted for the highest proportion of GDP. The health impacts in the Hexi region, including the cities of Jiuquan, Jiayuguan, Zhangye, Jinchang and Wuwei, were generally lower, but the economic loss and per capita economic loss were still higher. We also found that urbanization and industrialization were highly correlated with health economic loss caused by PM 2.5 pollution. In conclusion, the PM 2.5 -related health economic burden in Gansu Province was serious. As an economically underdeveloped region, it was very important to further adopt rigid and effective pollution control policies.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:9:p:3253-:d:354809
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    References listed on IDEAS

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    1. Yang, Siyuan & Fang, Delin & Chen, Bin, 2019. "Human health impact and economic effect for PM2.5 exposure in typical cities," Applied Energy, Elsevier, vol. 249(C), pages 316-325.
    2. Guanghui Yu & Feifan Wang & Jing Hu & Yan Liao & Xianzhao Liu, 2019. "Value Assessment of Health Losses Caused by PM 2.5 in Changsha City, China," IJERPH, MDPI, vol. 16(11), pages 1-21, June.
    3. Yang Yang & Liwen Luo & Chao Song & Hao Yin & Jintao Yang, 2018. "Spatiotemporal Assessment of PM 2.5 -Related Economic Losses from Health Impacts during 2014–2016 in China," IJERPH, MDPI, vol. 15(6), pages 1-16, June.
    4. Feng Han & Xingcheng Lu & Cuicui Xiao & Miao Chang & Ke Huang, 2019. "Estimation of Health Effects and Economic Losses from Ambient Air Pollution in Undeveloped Areas: Evidence from Guangxi, China," IJERPH, MDPI, vol. 16(15), pages 1-16, July.
    5. 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.
    6. Zhang, Daisheng & Aunan, Kristin & Martin Seip, Hans & Larssen, Steinar & Liu, Jianhui & Zhang, Dingsheng, 2010. "The assessment of health damage caused by air pollution and its implication for policy making in Taiyuan, Shanxi, China," Energy Policy, Elsevier, vol. 38(1), pages 491-502, January.
    7. J. Lelieveld & J. S. Evans & M. Fnais & D. Giannadaki & A. Pozzer, 2015. "The contribution of outdoor air pollution sources to premature mortality on a global scale," Nature, Nature, vol. 525(7569), pages 367-371, September.
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