IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03109162.html

The role of economic structural factors in determining pandemic mortality rates: Evidence from the COVID-19 outbreak in France

Author

Listed:
  • Stéphane Goutte

    (Cemotev - Centre d'études sur la mondialisation, les conflits, les territoires et les vulnérabilités - UVSQ - Université de Versailles Saint-Quentin-en-Yvelines, VNU - Vietnam National University [Hanoï])

  • Thomas Péran

    (CMH (URP_1515) - Centre Maurice Hauriou pour la Recherche en Droit Public - UPCité - Université Paris Cité)

  • Thomas Porcher

Abstract

Among the majority of research on individual factors leading to coronavirus mortality, age has been identified as a dominant factor. Health and other individual factors including gender, comorbidity, ethnicity and obesity have also been identified by other studies. In contrast, we examine the role of economic structural factors on COVID-19 mortality rates. Particularly, focusing on a densely populated region of France, we document evidence that higher economic "precariousness indicators" such as unemployment and poverty rates, lack of formal education and housing are important factors in determining COVID-19 mortality rates. Our study will help inform policy makers regarding the role of economic factors in managing pandemics.

Suggested Citation

  • Stéphane Goutte & Thomas Péran & Thomas Porcher, 2020. "The role of economic structural factors in determining pandemic mortality rates: Evidence from the COVID-19 outbreak in France," Post-Print hal-03109162, HAL.
    • Handle: RePEc:hal:journl:hal-03109162
    DOI: 10.1016/j.ribaf.2020.101281
    Note: View the original document on HAL open archive server: https://hal.science/hal-03109162v1
    as

    Download full text from publisher

    File URL: https://hal.science/hal-03109162v1/document
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.ribaf.2020.101281?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:

    Citations

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


    Cited by:

    1. Rim JEMLI & Nouri CHTOUROU, 2023. "Economic Agents’ Behaviors During the Coronavirus Pandemic: Theoretical Overview and Prospective Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 3818-3846, December.
    2. Eric S. Coker & Laura Cavalli & Enrico Fabrizi & Gianni Guastella & Enrico Lippo & Maria Laura Parisi & Nicola Pontarollo & Massimiliano Rizzati & Alessandro Varacca & Sergio Vergalli, 2020. "The Effects of Air Pollution on COVID-19 Related Mortality in Northern Italy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 611-634, August.
    3. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2022. "The influence of the COVID-19 pandemic on the hedging functionality of Chinese financial markets," Research in International Business and Finance, Elsevier, vol. 59(C).
    4. Euijune Kim & Dongyeong Jin & Hojune Lee & Min Jiang, 2023. "The economic damage of COVID-19 on regional economies: an application of a spatial computable general equilibrium model to South Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(1), pages 243-268, August.
    5. Vaida Gineikytė Kanclerė & Luka Klimavičiūtė & Marco Schito, 2024. "The effects of restricted access to healthcare on vulnerable people: an analysis of the determinants of health outcomes among older adults during the COVID-19 pandemic," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 22(4), pages 937-958, December.
    6. David, S.A. & Inácio Jr., C.M.C. & Tenreiro Machado, José A., 2021. "The recovery of global stock markets indices after impacts due to pandemics," Research in International Business and Finance, Elsevier, vol. 55(C).
    7. Juan Gabriel Brida & Emiliano Alvarez & Erick Limas, 2021. "Clustering of time series for the analysis of the COVID-19 pandemic evolution," Economics Bulletin, AccessEcon, vol. 41(3), pages 1082-1096.
    8. Valenzuela-Levi, N. & Echiburu, T. & Correa, J. & Hurtubia, R. & Muñoz, J.C., 2021. "Housing and accessibility after the COVID-19 pandemic: Rebuilding for resilience, equity and sustainable mobility," Transport Policy, Elsevier, vol. 109(C), pages 48-60.
    9. Joanna Wyrobek, 2020. "The Use of Decision Trees for Analysis of the Potential Determinants for the Incidence of Deaths and Cases of Coronavirus (Covid-19) in Different Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 556-566.
    10. Hooshmand Alizadeh & Milad Doostvandi & Milad Zandsalimi, 2024. "Redefining sustainable urban development: A critical analysis in the wake of COVID‐19," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(6), pages 6163-6181, December.
    11. Jonathan A. Batten & Tonmoy Choudhury & Harald Kinateder & Niklas F. Wagner, 2024. "Correction to: Volatility impacts on the European banking sector: GFC and COVID-19," Annals of Operations Research, Springer, vol. 332(1), pages 1195-1195, January.
    12. Aljohani, Bader M. & Fadul, Abubaker & Asiri, Maram S. & Alkhathami, Abdulrahman D. & Hasan, Fakhrul, 2024. "Volatility transmission in the property market during two inflationary periods: The 2008–2009 global financial crisis and the COVID-19 crisis," Research in International Business and Finance, Elsevier, vol. 70(PB).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

    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:hal:journl:hal-03109162. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.