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

Author

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  • 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-03109162
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    References listed on IDEAS

    as
    1. Xiao-Guang Yue & Xue-Feng Shao & Rita Yi Man Li & M. James C. Crabbe & Lili Mi & Siyan Hu & Julien S Baker & Liting Liu & Kechen Dong, 2020. "Risk Prediction and Assessment: Duration, Infections, and Death Toll of the COVID-19 and Its Impact on China’s Economy," JRFM, MDPI, vol. 13(4), pages 1-26, April.
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    Cited by:

    1. 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).
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.

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    More about this item

    Keywords

    COVID-19; Health system; Housing; Pandemic; Poverty; Social distancing; Territorial vulnerabilities;
    All these 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

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