IDEAS home Printed from https://ideas.repec.org/a/nse/ecosta/ecostat_2022_534_6.html
   My bibliography  Save this article

Impact of COVID-19 Activity Restrictions on Air Pollution: Methodological Considerations in the Economic Valuation of the Long-Term Effects on Mortality

Author

Listed:
  • Olivier Chanel

Abstract

[eng] This article offers an approach incorporating latency into the process for evaluating long-term mortality and into its economic valuation, following a temporary impact. It is applied to the effects of COVID-19 activity restrictions, in the spring of 2020, on ambient air pollution in France. These effects are evaluated in terms of Life Years Gained (LYG) and in monetary terms for two air pollution indicators. This approach is compared to a standard estimate on the basis of difference. It gives results that are lower by a factor of 3.7 to 5.5 for LYG and, on account of the additional effect of discounting, gives an economic valuation that is lower by a factor of 4.7 to 6.9. These results show that an adapted valuation of the long-term health benefits, then their translation into monetary terms, is essential in order to compare the long-term consequences of temporary exogenous impacts or policies.

Suggested Citation

  • Olivier Chanel, 2022. "Impact of COVID-19 Activity Restrictions on Air Pollution: Methodological Considerations in the Economic Valuation of the Long-Term Effects on Mortality," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 534-35, pages 103-118.
  • Handle: RePEc:nse:ecosta:ecostat_2022_534_6
    DOI: https://doi.org/10.24187/ecostat.2022.534.2081
    as

    Download full text from publisher

    File URL: https://www.insee.fr/en/statistiques/fichier/6443233/06_ES534-35_Chanel_EN.pdf
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.24187/ecostat.2022.534.2081?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. David E. Burmaster & Paul D. Anderson, 1994. "Principles of Good Practice for the Use of Monte Carlo Techniques in Human Health and Ecological Risk Assessments," Risk Analysis, John Wiley & Sons, vol. 14(4), pages 477-481, August.
    2. Ingemar Leksell & Ari Rabl, 2001. "Air Pollution and Mortality: Quantification and Valuation of Years of Life Lost," Risk Analysis, John Wiley & Sons, vol. 21(5), pages 843-843, October.
    3. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    4. Olivier Chanel & Susann Henschel & Patrick G. Goodman & Antonis Analitis & Richard Atkinson & Alain Le Tertre & Ariana Zeka & S. Médina, 2014. "Economic valuation of the mortality benefits of a regulation on SO2 in 20 European cities," Post-Print hal-01463922, HAL.
    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. Olivier Chanel, 2022. "Impact of COVID‑19 Activity Restrictions on Air Pollution: Methodological Considerations in the Economic Valuation of the Long‑Term Effects on Mortality [Impact sur la pollution de l’air des restri," Working Papers hal-03778336, HAL.
    2. Olivier Chanel & Laura Perez & Nino Künzli & Sylvia Medina, 2016. "The hidden economic burden of air pollution-related morbidity: evidence from the Aphekom project," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(9), pages 1101-1115, December.
    3. Marielle Berriet-Solliec & Abdoul Diallo & Cédric Gendre & Vincent Larmet & Denis Lépicier & Lionel Védrine, 2022. "The National Rural Development Programme in France: How Does It Contribute to the Attractiveness of Regions? [Le programme hexagonal de développement rural : quelle contribution à l’attractivité de," Post-Print hal-03814799, HAL.
    4. Iza Gigauri & Mirela Panait & Simona Andreea Apostu & Lukman Raimi, 2022. "The Essence of Social Entrepreneurship through a Georgian Lens: Social Entrepreneurs’ Perspectives," Administrative Sciences, MDPI, vol. 12(3), pages 1-19, June.
    5. Phurichai Rungcharoenkitkul, 2021. "Macroeconomic effects of COVID‐19: A mid‐term review," Pacific Economic Review, Wiley Blackwell, vol. 26(4), pages 439-458, October.
    6. Brodeur, Abel & Clark, Andrew E. & Fleche, Sarah & Powdthavee, Nattavudh, 2021. "COVID-19, lockdowns and well-being: Evidence from Google Trends," Journal of Public Economics, Elsevier, vol. 193(C).
    7. Borisova, Ekaterina & Gründler, Klaus & Hackenberger, Armin & Harter, Anina & Potrafke, Niklas & Schoors, Koen, 2023. "Crisis experience and the deep roots of COVID-19 vaccination preferences," European Economic Review, Elsevier, vol. 160(C).
    8. Kahanec, Martin & Lafférs, Lukáš & Schmidpeter, Bernhard, 2021. "The Impact of Mass Antigen Testing for COVID-19 on the Prevalence of the Disease," GLO Discussion Paper Series 775, Global Labor Organization (GLO).
    9. Lalinsky, Tibor & Pál, Rozália, 2022. "Distribution of COVID-19 government support and its consequences for firm liquidity and solvency," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 305-335.
    10. Wolter H. J. Hassink & Guyonne Kalb & Jordy Meekes, 2020. "The Dutch labour market early on in the COVID-19 outbreak: Regional coronavirus hotspots and the national lockdown," Melbourne Institute Working Paper Series wp2020n17, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    11. Di Bartolomeo, Giovanni & D'Imperio, Paolo & Felici, Francesco, 2022. "The fiscal response to the Italian COVID-19 crisis: A counterfactual analysis," Journal of Macroeconomics, Elsevier, vol. 73(C).
    12. Charles N. Haas, 1997. "Importance of Distributional Form in Characterizing Inputs to Monte Carlo Risk Assessments," Risk Analysis, John Wiley & Sons, vol. 17(1), pages 107-113, February.
    13. Mahesh D. Pandey & Jatin S. Nathwani, 2003. "Canada Wide Standard for Particulate Matter and Ozone: Cost‐Benefit Analysis Using a Life Quality Index," Risk Analysis, John Wiley & Sons, vol. 23(1), pages 55-67, February.
    14. Hai-Anh H. Dang & Long T. Giang & Minh N. N. Do, 2021. "Building on Vietnam’s Recent COVID-19 Success: A Job-Focused Analysis of Individual Assessments on Their Finance and the Economy," Sustainability, MDPI, vol. 13(19), pages 1-21, September.
    15. Viral V. Acharya & Zhengyang Jiang & Robert J. Richmond & Ernst-Ludwig von Thadden, 2020. "Divided We Fall: International Health and Trade Coordination During a Pandemic," NBER Working Papers 28176, National Bureau of Economic Research, Inc.
    16. Brotherhood, Luiz & Cavalcanti, Tiago & Da Mata, Daniel & Santos, Cezar, 2022. "Slums and pandemics," Journal of Development Economics, Elsevier, vol. 157(C).
    17. Roberto Roson & Camille Van der Vorst, 2021. "The COVID crumbling of tourism in Andalusia: an assessment of economic and environmental consequences," Working Papers 2021: 18, Department of Economics, University of Venice "Ca' Foscari".
    18. Abu Bakkar Siddique & Kingsley E. Haynes & Rajendra Kulkarni & Meng-Hao Li, 2023. "Regional poverty and infection disease: early exploratory evidence from the COVID-19 pandemic," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(1), pages 209-236, February.
    19. Nicholas Bloom & Philip Bunn & Paul Mizen & Pawel Smietanka & Gregory Thwaites, 2020. "The Impact of Covid-19 on Productivity," NBER Working Papers 28233, National Bureau of Economic Research, Inc.
    20. Michal Hrivnák & Peter Moritz & Marcela Chreneková, 2021. "What Kept the Boat Afloat? Sustainability of Employment in Knowledge-Intensive Sectors Due to Government Measures during COVID-19 Pandemic," Sustainability, MDPI, vol. 13(15), pages 1-21, July.

    More about this item

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • I1 - Health, Education, and Welfare - - Health
    • 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

    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:nse:ecosta:ecostat_2022_534_6. 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: Veronique Egloff (email available below). General contact details of provider: https://edirc.repec.org/data/inseefr.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.