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The impact of public healthcare system on COVID-19 mortality rate in selected European and South Caucasian countries

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  • Gaetano Perone

    (University of Pisa
    Kutaisi International University)

Abstract

This study investigated the relationship between public healthcare-related features, vaccination rates, and COVID-19 mortality rates in 44 European and South Caucasian countries. The COVID-19 mortality rates were averaged from 21 November 2021 to 4 December 2021, coinciding with the height of the fourth wave of the pandemic. A cross-sectional analysis was conducted using the ordinary least squares (OLS) estimator, the spatial autoregressive (SAR) model, and the spatial error (SEM) model. A cluster analysis was then performed to identify homogeneous groupings of nations exhibiting escalating risk variables for COVID-19 mortality. The results indicated that public health expenditure, healthcare personnel, pharmacists, universal health coverage (UHC), and COVID-19 vaccination rates exhibited significant negative correlations with COVID-19 mortality rates, while out-of-pocket (OOP) spending and the saturation of ordinary and intensive care unit (ICU) beds demonstrated significant positive correlations with COVID-19 mortality rates. Cluster analysis indicated that post-communist and post-Soviet European nations with more decentralized and predominantly private insurance-based healthcare systems exhibited the highest risk variables for COVID-19 mortality. In contrast, Nordic European countries with universal healthcare systems demonstrated the lowest risk. Consequently, nations with publicly funded comprehensive healthcare systems have shown greater efficacy in reducing COVID-19 death rates while alleviating the strain on national healthcare systems. These policy recommendations may be beneficial in the event of similar shocks in the future.

Suggested Citation

  • Gaetano Perone, 2025. "The impact of public healthcare system on COVID-19 mortality rate in selected European and South Caucasian countries," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 15(3), pages 845-890, September.
  • Handle: RePEc:spr:eurase:v:15:y:2025:i:3:d:10.1007_s40822-025-00310-5
    DOI: 10.1007/s40822-025-00310-5
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    1. Asli Demirgüç‐Kunt & Michael Lokshin & Iván Torre, 2021. "The sooner, the better: The economic impact of non‐pharmaceutical interventions during the early stage of the COVID‐19 pandemic," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 29(4), pages 551-573, October.
    2. Karabulut, Gokhan & Zimmermann, Klaus F. & Bilgin, Mehmet Huseyin & Doker, Asli Cansin, 2021. "Democracy and COVID-19 outcomes," Economics Letters, Elsevier, vol. 203(C).
    3. Felipe Carozzi & Sandro Provenzano & Sefi Roth, 2024. "Urban density and COVID-19: understanding the US experience," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(1), pages 163-194, January.
    4. C. M. Jayadevan, 2021. "Impacts of health on economic growth: evidence from structural equation modelling," Asia-Pacific Journal of Regional Science, Springer, vol. 5(2), pages 513-522, June.
    5. repec:eme:reps00:reps-12-2018-0042 is not listed on IDEAS
    6. Seth Flaxman & Swapnil Mishra & Axel Gandy & H. Juliette T. Unwin & Thomas A. Mellan & Helen Coupland & Charles Whittaker & Harrison Zhu & Tresnia Berah & Jeffrey W. Eaton & Mélodie Monod & Azra C. Gh, 2020. "Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe," Nature, Nature, vol. 584(7820), pages 257-261, August.
    7. Fionn Murtagh & Pierre Legendre, 2014. "Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?," Journal of Classification, Springer;The Classification Society, vol. 31(3), pages 274-295, October.
    8. Katerina Aristodemou & Lucas Buchhass & Duco Claringbould, 2021. "The COVID-19 crisis in the EU: the resilience of healthcare systems, government responses and their socio-economic effects," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(2), pages 251-281, June.
    9. Marynia Kolak & Luc Anselin, 2020. "A Spatial Perspective on the Econometrics of Program Evaluation," International Regional Science Review, , vol. 43(1-2), pages 128-153, January.
    10. John Wildman, 2021. "COVID-19 and income inequality in OECD countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(3), pages 455-462, April.
    11. MacKinnon, James G. & White, Halbert, 1985. "Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties," Journal of Econometrics, Elsevier, vol. 29(3), pages 305-325, September.
    12. Noha Sami Omar, 2019. "Innovation and economic performance in MENA region," Review of Economics and Political Science, Emerald Group Publishing Limited, vol. 4(2), pages 158-175, June.
    13. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    14. Alvaro Almeida, 2024. "The trade-off between health system resiliency and efficiency: evidence from COVID-19 in European regions," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 31-47, February.
    15. Charrad, Malika & Ghazzali, Nadia & Boiteau, Véronique & Niknafs, Azam, 2014. "NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 61(i06).
    16. David M. Drukker & Peter Egger & Ingmar R. Prucha, 2013. "On Two-Step Estimation of a Spatial Autoregressive Model with Autoregressive Disturbances and Endogenous Regressors," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 686-733, August.
    17. Braendle, Thomas & Colombier, Carsten, 2020. "Budgetary targets as cost-containment measure in the Swiss healthcare system? Lessons from abroad," Health Policy, Elsevier, vol. 124(6), pages 605-614.
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    JEL classification:

    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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