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The Impact of Health Financing on Health Systems’ Performance: An Assessment for European Union and Candidate Countries

Author

Listed:
  • Şenol DEMİRCİ
  • Murat KONCA
  • Gülnur İLGÜN

Abstract

In this study, it is aimed to compare the performance of European Union (EU) members’ and candidate countries’ health systems. In this context, two-step analysis method was used in the study. In the first stage, Data Envelopment Analysis (DEA) was conducted in order to determine the health care performance of the countries, while the second stage analysis attempts to determine whether the varying methods employed by the countries to finance their health systems has a statistically significant effect on the DEA scores. In the utilized Tobit regression model, the transformed DEA score was taken as the dependent variable, and the financing model adopted by the countries to finance health systems was taken as the independent variable. According to the results, the financing method shows a statistically significant effect on the efficiency of the health systems. Specifically, adopting the Beveridge Model has a statistically significant positive impact on health system efficiency.

Suggested Citation

  • Şenol DEMİRCİ & Murat KONCA & Gülnur İLGÜN, 2020. "The Impact of Health Financing on Health Systems’ Performance: An Assessment for European Union and Candidate Countries," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(43).
  • Handle: RePEc:sos:sosjrn:200113
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    References listed on IDEAS

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    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Emre Atilgan & Dilek Kilic & Hasan Murat Ertugrul, 2017. "The dynamic relationship between health expenditure and economic growth: is the health-led growth hypothesis valid for Turkey?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(5), pages 567-574, June.
    3. Wranik, Dominika, 2012. "Healthcare policy tools as determinants of health-system efficiency: evidence from the OECD," Health Economics, Policy and Law, Cambridge University Press, vol. 7(2), pages 197-226, April.
    4. Pablo Gottret & George Schieber, 2006. "Health Financing Revisited : A Practitioner's Guide," World Bank Publications - Books, The World Bank Group, number 7094, December.
    5. LaPlante, A.E. & Paradi, J.C., 2015. "Evaluation of bank branch growth potential using data envelopment analysis," Omega, Elsevier, vol. 52(C), pages 33-41.
    6. Olsen, Jan Abel, 2009. "Principles in Health Economics and Policy," OUP Catalogue, Oxford University Press, number 9780199237814.
    7. María del Rocío Moreno‐Enguix & Juan Cándido Gómez‐Gallego & María Gómez Gallego, 2018. "Analysis and determination the efficiency of the European health systems," International Journal of Health Planning and Management, Wiley Blackwell, vol. 33(1), pages 136-154, January.
    8. H. David Sherman & Joe Zhu, 2006. "Service Productivity Management," Springer Books, Springer, number 978-0-387-33231-4, December.
    9. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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    More about this item

    Keywords

    Health System Performance; Data Envelopment Analysis; Tobit Regression.;
    All these keywords.

    JEL classification:

    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • P47 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Performance and Prospects

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