IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp12986.html
   My bibliography  Save this paper

The Impact of Air Pollution on Attributable Risks and Economic Costs of Hospitalization for Mental Disorders

Author

Listed:
  • Wu, Ziting

    (Peking University)

  • Chen, Xi

    (Yale University)

  • Li, Guoxing

    (Peking University)

  • Tian, Lin

    (Peking University)

  • Wang, Zhan

    (Peking University)

  • Xiong, Xiuqin

    (Peking University)

  • Yang, Chuan

    (Peking University)

  • Zhou, Zijun

    (Peking University)

  • Pan, Xiaochuan

    (Peking University)

Abstract

This study aims to fill the gap in our understanding about exposure to particulate matters with diameter less than 2.5 μm (PM2.5) and attributable risks and economic costs of mental disorders (MDs). We identify the relationship between PM2.5 and risk of hospital admissions (HAs) for MDs in Beijing and measure the attributable risk and economic cost. We apply a generalized additive model (GAM) with controls for time trend, meteorological conditions, holidays and day of the week. Stratified analyses are performed by age, gender and season. We further estimate health and economic burden of HAs for MDs attributable to PM2.5. A total of 17,252 HAs for MDs are collected. We show that PM2.5 accounts for substantial morbidity and economic burden of MDs. Specifically, a 10 μg/m3 daily increase in PM2.5 is associated with a 3.55% increase in the risk of HAs for MDs, and the effect is more pronounced for older males in colder weather. According to the WHO's air quality guidelines, 15.12 percent of HAs and 16.19 percent of related medical expenses for MDs are respectively attributable to PM2.5.

Suggested Citation

  • Wu, Ziting & Chen, Xi & Li, Guoxing & Tian, Lin & Wang, Zhan & Xiong, Xiuqin & Yang, Chuan & Zhou, Zijun & Pan, Xiaochuan, 2020. "The Impact of Air Pollution on Attributable Risks and Economic Costs of Hospitalization for Mental Disorders," IZA Discussion Papers 12986, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp12986
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp12986.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Panle Jia Barwick & Shanjun Li & Deyu Rao & Nahim Bin Zahur, 2018. "The Morbidity Cost of Air Pollution: Evidence from Consumer Spending in China," Working Papers id:12825, eSocialSciences.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Shanjun & Liu, Yanyan & Purevjav, Avralt-Od & Yang, Lin, 2019. "Does subway expansion improve air quality?," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 213-235.
    2. Guoying Deng & Manuel A. Hernandez & Shu Xu, 2020. "When Power Plants Leave Town: Environmental Quality and the Housing Market in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(4), pages 751-780, December.
    3. Liu, Ziheng & Lu, Qinan, 2023. "Ozone stress and crop harvesting failure: Evidence from US food production," Food Policy, Elsevier, vol. 121(C).
    4. Yao, Yao & Li, Xue & Smyth, Russell & Zhang, Lin, 2022. "Air pollution and political trust in local government: Evidence from China," Journal of Environmental Economics and Management, Elsevier, vol. 115(C).
    5. Shenglong Liu & Penglong Zhang, 2022. "Foreign Direct Investment and Air Pollution in China: Evidence from the Global Financial Crisis," The Developing Economies, Institute of Developing Economies, vol. 60(1), pages 30-61, March.
    6. Li, Xue & Smyth, Russell & Yao, Yao, 2023. "Extreme temperatures and out-of-pocket medical expenditure: Evidence from China," China Economic Review, Elsevier, vol. 77(C).
    7. Wang, Chunchao & Lin, Qianqian & Qiu, Yun, 2022. "Productivity loss amid invisible pollution," Journal of Environmental Economics and Management, Elsevier, vol. 112(C).
    8. Wang, Zhenxuan & Zhang, Junjie, 2023. "The value of information disclosure: Evidence from mask consumption in China," Journal of Environmental Economics and Management, Elsevier, vol. 122(C).
    9. Wang, Chunchao & Lin, Qianqian & Qiu, Yun, 2020. "Productivity Loss amid Invisible Pollution," GLO Discussion Paper Series 722, Global Labor Organization (GLO).
    10. Hannah Klauber & Felix Holub & Nicolas Koch & Nico Pestel & Nolan Ritter & Alexander Rohlf, 2024. "Killing Prescriptions Softly: Low Emission Zones and Child Health from Birth to School," American Economic Journal: Economic Policy, American Economic Association, vol. 16(2), pages 220-248, May.
    11. Shi, Xinzheng & Zhang, Ming-ang, 2023. "Waste import and air pollution: Evidence from China's waste import ban," Journal of Environmental Economics and Management, Elsevier, vol. 120(C).
    12. Fu, Shihe & Viard, V. Brian & Zhang, Peng, 2022. "Trans-boundary air pollution spillovers: Physical transport and economic costs by distance," Journal of Development Economics, Elsevier, vol. 155(C).
    13. Tamás Hajdu & Gábor Hajdu, 2022. "Temperature, climate change, and human conception rates: evidence from Hungary," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(4), pages 1751-1776, October.
    14. Colmer, Jonathan & Lin, Dajun & Liu, Siying & Shimshack, Jay, 2021. "Why are pollution damages lower in developed countries? Insights from high-Income, high-particulate matter Hong Kong," Journal of Health Economics, Elsevier, vol. 79(C).
    15. Lai, Wangyang & Song, Hong & Wang, Chang & Wang, Huanhuan, 2021. "Air pollution and brain drain: Evidence from college graduates in China," China Economic Review, Elsevier, vol. 68(C).
    16. Ding, Jinxiu & Lu, Zhe & Yu, Chin-Hsien, 2022. "Environmental information disclosure and firms’ green innovation: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 147-159.
    17. Bagilet, Vincent & Zabrocki-Hallak, Léo, 2022. "Why Some Acute Health Effects of Air Pollution Could Be Inflated," I4R Discussion Paper Series 11, The Institute for Replication (I4R).
    18. Jin, Yana & Andersson, Henrik & Zhang, Shiqiu, 2020. "Do preferences to reduce health risks related to air pollution depend on illness type? Evidence from a choice experiment in Beijing, China," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    19. He, Guojun & Liu, Tong & Zhou, Maigeng, 2020. "Straw burning, PM2.5, and death: Evidence from China," Journal of Development Economics, Elsevier, vol. 145(C).
    20. Tingting Xie & Yong Wang & Ye Yuan, 2024. "Health Benefits from Improved Air Quality: Evidence from Pollution Regulations in China’s “ $$2{+}26$$ 2 + 26 ” Cities," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(5), pages 1175-1221, May.

    More about this item

    Keywords

    attributable risk; economic cost; hospital admissions; mental disorders; PM2.5;
    All these keywords.

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp12986. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.