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Estimation of Health Effects and Economic Losses from Ambient Air Pollution in Undeveloped Areas: Evidence from Guangxi, China

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  • Feng Han

    (Key Laboratory of Beibu Gulf Environment Change and Resources Utilization of Ministry of Education, Nanning Normal University, Nanning 530001, China)

  • Xingcheng Lu

    (Division of Environment, Hong Kong University of Science & Technology, Clear Water Bay, Hong Kong, China)

  • Cuicui Xiao

    (School of Environmental, Tsinghua University, Beijing 100084, China)

  • Miao Chang

    (School of Environmental, Tsinghua University, Beijing 100084, China)

  • Ke Huang

    (Guangxi Environmental Protection Bureau, No.16 of Foziling Road, Nanning 530001, China)

Abstract

Guangxi Zhuang Autonomous Region, located in the southwest of China, has rapidly developed since the late 2000s. Similar to other regions, economic development has been accompanied by environmental problems, especially air pollution, which can adversely affect the health of residents in the area. In this study, we estimated the negative health effects of three major ambient pollutants, Particulate Matter with a diameter of 10 μm or less (PM10), Sulfur Dioxide (SO 2 ) and Nitrogen Dioxide (NO 2 ) in Guangxi from 2011 to 2016 using a log-linear exposure–response function. We monetarized the economic loss using the value of statistical life (VSL) and the cost of illness (COI) methods. The results show that the total possible short-term all-cause mortality values due to PM10, SO 2 , and NO 2 were 28,396, with the confidence intervals from 14,664 to 42,014 (14,664–42,014), 24,618 (15,480–33,371), and 46,365 (31,158–61,423), respectively. The mortality from the three pollutants was 48,098 (19,972–75,973). The economic loss of the health burden from the three pollutants was 40,555 (24,172–57,585), which was 2.86% (1.70–4.06%) of the regional gross domestic product. The result of the comparative analysis among different cities showed that urbanization, industrialization, and residents’ income are important factors in air-pollution-caused health damage and subsequent economic loss. We conclude that the health burden caused by ambient pollutants in developing regions, accompanied by its rapid socio-economic growth, is significant and tighter regulation is needed in the future to alleviate air pollution and mitigate the related health damage.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:15:p:2707-:d:252794
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    References listed on IDEAS

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    1. Dongsheng Zhan & Mei-Po Kwan & Wenzhong Zhang & Shaojian Wang & Jianhui Yu, 2017. "Spatiotemporal Variations and Driving Factors of Air Pollution in China," IJERPH, MDPI, vol. 14(12), pages 1-18, December.
    2. Wang, Hua & He, Jie, 2010. "The value of statistical life : a contingent investigation in China," Policy Research Working Paper Series 5421, The World Bank.
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    Cited by:

    1. Yutian Liang & Jiaxi Zhang & Kan Zhou, 2022. "Study on Driving Factors and Spatial Effects of Environmental Pollution in the Pearl River-Xijiang River Economic Belt, China," IJERPH, MDPI, vol. 19(11), pages 1-13, June.
    2. Yanping Yang & Jianjun Chen & Yanping Lan & Guoqing Zhou & Haotian You & Xiaowen Han & Yu Wang & Xue Shi, 2022. "Landscape Pattern and Ecological Risk Assessment in Guangxi Based on Land Use Change," IJERPH, MDPI, vol. 19(3), pages 1-20, January.
    3. 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.
    4. Yue Wang & Lei Shi & Di Chen & Xue Tan, 2020. "Spatial-Temporal Analysis and Driving Factors Decomposition of (De)Coupling Condition of SO 2 Emissions in China," IJERPH, MDPI, vol. 17(18), pages 1-18, September.

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