IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i17p10647-d898419.html
   My bibliography  Save this article

Assessing the Public Health Economic Loss from PM 2.5 Pollution in ‘2 + 26’ Cities

Author

Listed:
  • Yifeng Wang

    (School of Economics and Management, China University of Geosciences, Beijing 100083, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing 100083, China)

  • Ken Sun

    (College of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Li Li

    (School of Economics and Management, China University of Geosciences, Beijing 100083, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing 100083, China
    State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, Beijing 100011, China)

  • Yalin Lei

    (School of Economics and Management, China University of Geosciences, Beijing 100083, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing 100083, China)

  • Sanmang Wu

    (School of Economics and Management, China University of Geosciences, Beijing 100083, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing 100083, China)

  • Yong Jiang

    (School of Economics and Management, China University of Geosciences, Beijing 100083, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing 100083, China)

  • Yanling Xi

    (Tianjin Academy of Social Sciences, Tianjin 300191, China)

  • Fang Wang

    (School of Economics and Management, China University of Geosciences, Beijing 100083, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing 100083, China)

  • Yanfang Cui

    (School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

Abstract

Due to the fast growth of China’s economy, urban atmospheric pollution has become a serious problem affecting the public’s physical and mental health. The ‘2 + 26’ cities, as the Jing-Jin-Ji atmospheric pollution transmission channel, has attracted widespread concern. There were several previous studies on the economic loss of public health caused by PM 2.5 pollution in ‘2 + 26’ cities. To assess the economic loss caused by PM 2.5 on human health in ‘2 + 26’ cities, this paper used the exposure-response model, the health effect loss model and willingness to pay method to obtain the economic loss from PM 2.5 pollution with the latest available data in 2020. It was concluded that, in 2020, the economic loss of ‘2 + 26’ cities from PM 2.5 was spatially distributed low in the east and high in the west. In addition, it was larger in the southern and northern part, which was smaller in the middle of the region. Based on the conclusions, policy recommendations were put forward.

Suggested Citation

  • Yifeng Wang & Ken Sun & Li Li & Yalin Lei & Sanmang Wu & Yong Jiang & Yanling Xi & Fang Wang & Yanfang Cui, 2022. "Assessing the Public Health Economic Loss from PM 2.5 Pollution in ‘2 + 26’ Cities," IJERPH, MDPI, vol. 19(17), pages 1-16, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:17:p:10647-:d:898419
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/17/10647/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/17/10647/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Francesca Dominici & Jonathan M. Samet & Scott L. Zeger, 2000. "Combining evidence on air pollution and daily mortality from the 20 largest US cities: a hierarchical modelling strategy," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(3), pages 263-302.
    2. Guizhi Wang & Yingxi Song & Jibo Chen & Jun Yu, 2016. "Valuation of Haze Management and Prevention Using the Contingent Valuation Method with the Sure Independence Screening Algorithm," Sustainability, MDPI, vol. 8(4), pages 1-11, March.
    3. Lin-Yu Xu & Hao Yin & Xiao-Dong Xie, 2014. "Health Risk Assessment of Inhalable Particulate Matter in Beijing Based on the Thermal Environment," IJERPH, MDPI, vol. 11(12), pages 1-21, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huiping Wang & Qi Ge, 2022. "Analysis of the Spatial Association Network of PM 2.5 and Its Influencing Factors in China," IJERPH, MDPI, vol. 19(19), pages 1-15, October.
    2. Yue Wang & Yang Wen & Yingying Xu & Lei Shi & Xuan Yang, 2022. "Health Benefits Quantification for New-Energy Vehicles Promotion: A Case Study of Beijing," IJERPH, MDPI, vol. 19(21), pages 1-12, October.

    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. Jiansheng Wu & Xuechen Li & Si Li & Chang Liu & Tengyun Yi & Yuhao Zhao, 2022. "Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020," IJERPH, MDPI, vol. 19(9), pages 1-20, May.
    2. Burr, Wesley S. & Shin, Hwashin H. & Takahara, Glen, 2019. "Synthetically lagged models," Statistics & Probability Letters, Elsevier, vol. 144(C), pages 37-43.
    3. Koop, Gary & Tole, Lise, 2004. "Measuring the health effects of air pollution: to what extent can we really say that people are dying from bad air?," Journal of Environmental Economics and Management, Elsevier, vol. 47(1), pages 30-54, January.
    4. Hao Yin & Linyu Xu & Yanpeng Cai, 2015. "Monetary Valuation of PM 10 -Related Health Risks in Beijing China: The Necessity for PM 10 Pollution Indemnity," IJERPH, MDPI, vol. 12(8), pages 1-21, August.
    5. Theophilus I. Emeto & Oyelola A. Adegboye & Reza A. Rumi & Mahboob-Ul I. Khan & Majeed Adegboye & Wasif A. Khan & Mahmudur Rahman & Peter K. Streatfield & Kazi M. Rahman, 2020. "Disparities in Risks of Malaria Associated with Climatic Variability among Women, Children and Elderly in the Chittagong Hill Tracts of Bangladesh," IJERPH, MDPI, vol. 17(24), pages 1-15, December.
    6. Vera Ling Hui Phung & Kayo Ueda & Shunji Kasaoka & Xerxes Seposo & Saira Tasmin & Shinichi Yonemochi & Arthit Phosri & Akiko Honda & Hirohisa Takano & Takehiro Michikawa & Hiroshi Nitta, 2018. "Acute Effects of Ambient PM 2.5 on All-Cause and Cause-Specific Emergency Ambulance Dispatches in Japan," IJERPH, MDPI, vol. 15(2), pages 1-12, February.
    7. Wong, Heung & Shao, Quanxi & Ip, Wai-cheung, 2013. "Modeling respiratory illnesses with change point: A lesson from the SARS epidemic in Hong Kong," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 589-599.
    8. Joshua Graff Zivin & Matthew Neidell, 2013. "Environment, Health, and Human Capital," Journal of Economic Literature, American Economic Association, vol. 51(3), pages 689-730, September.
    9. Chi Wang & Giovanni Parmigiani & Francesca Dominici, 2012. "Bayesian Effect Estimation Accounting for Adjustment Uncertainty," Biometrics, The International Biometric Society, vol. 68(3), pages 661-671, September.
    10. repec:jss:jstsof:26:i07 is not listed on IDEAS
    11. Duncan Lee & Claire Ferguson & E. Marian Scott, 2011. "Constructing representative air quality indicators with measures of uncertainty," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 109-126, January.
    12. Moritz A. Drupp & Zachary M. Turk & Ben Groom & Jonas Heckenhahn, 2023. "Limited substitutability, relative price changes and the uplifting of public natural capital values," Papers 2308.04400, arXiv.org, revised Mar 2024.
    13. Xavier Pautrel, 2007. "Environmental Policy, Health and Long-Run," Energy and Environmental Modeling 2007 24000048, EcoMod.
    14. Roger D. Peng & Francesca Dominici & Thomas A. Louis, 2006. "Model choice in time series studies of air pollution and mortality," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(2), pages 179-203, March.
    15. Enrico Moretti & Matthew Neidell, 2011. "Pollution, Health, and Avoidance Behavior: Evidence from the Ports of Los Angeles," Journal of Human Resources, University of Wisconsin Press, vol. 46(1), pages 154-175.
    16. Hwashin Hyun Shin & Dave Stieb & Rick Burnett & Glen Takahara & Barry Jessiman, 2012. "Tracking National and Regional Spatial‐Temporal Mortality Risk Associated with NO2 Concentrations in Canada: A Bayesian Hierarchical Two‐Level Model," Risk Analysis, John Wiley & Sons, vol. 32(3), pages 513-530, March.
    17. Cutter, W. Bowman & Neidell, Matthew, 2009. "Voluntary information programs and environmental regulation: Evidence from 'Spare the Air'," Journal of Environmental Economics and Management, Elsevier, vol. 58(3), pages 253-265, November.
    18. Laura F. Boehm Vock & Brian J. Reich & Montserrat Fuentes & Francesca Dominici, 2015. "Spatial variable selection methods for investigating acute health effects of fine particulate matter components," Biometrics, The International Biometric Society, vol. 71(1), pages 167-177, March.
    19. So-Yeon Park & Seul-Ye Lim & Seung-Hoon Yoo, 2016. "The Economic Value of the National Meteorological Service in the Korean Household Sector: A Contingent Valuation Study," Sustainability, MDPI, vol. 8(9), pages 1-13, August.
    20. X. Pautrel, 2008. "Reconsidering the Impact of the Environment on Long-run Growth when Pollution Influences Health and Agents have a Finite-lifetime," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 40(1), pages 37-52, May.
    21. Yi Liu & Gavin Shaddick & James V. Zidek, 2017. "Incorporating High-Dimensional Exposure Modelling into Studies of Air Pollution and Health," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 9(2), pages 559-581, December.

    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:gam:jijerp:v:19:y:2022:i:17:p:10647-:d:898419. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.