IDEAS home Printed from https://ideas.repec.org/a/sos/sosjrn/200113.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://dergipark.gov.tr/download/article-file/941124
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. H. David Sherman & Joe Zhu, 2006. "Service Productivity Management," Springer Books, Springer, number 978-0-387-33231-4, December.
    4. 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.
    5. 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.
    6. Pablo Gottret & George Schieber, 2006. "Health Financing Revisited : A Practitioner's Guide," World Bank Publications - Books, The World Bank Group, number 7094.
    7. 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.
    8. 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.
    9. Olsen, Jan Abel, 2009. "Principles in Health Economics and Policy," OUP Catalogue, Oxford University Press, number 9780199237814.
    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. Angelo Castaldo & Maria Alessandra Antonelli & Valeria De Bonis & Giorgia Marini, 2020. "Determinants of health sector efficiency: evidence from a two-step analysis on 30 OECD countries," Economics Bulletin, AccessEcon, vol. 40(2), pages 1651-1666.
    2. Alessandra Cepparulo & Gilles Mourre, 2020. "How and How Much? The Growth-Friendliness of Public Spending through the Lens," European Economy - Discussion Papers 132, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    3. Taleb, Mushtaq & Khalid, Ruzelan & Ramli, Razamin & Ghasemi, Mohammad Reza & Ignatius, Joshua, 2022. "An integrated bi-objective data envelopment analysis model for measuring returns to scale," European Journal of Operational Research, Elsevier, vol. 296(3), pages 967-979.
    4. Minh‐Anh Thi Nguyen & Ming‐Miin Yu, 2020. "Decomposing the operational efficiency of major cruise lines: A network data envelopment analysis approach in the presence of shared input and quasi‐fixed input," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(8), pages 1501-1516, December.
    5. Tao Du, 2017. "Performance Measurement of Healthcare Service and Association Discussion between Quality and Efficiency: Evidence from 31 Provinces of Mainland China," Sustainability, MDPI, vol. 10(1), pages 1-19, December.
    6. Halkos, George & Petrou, Kleoniki Natalia, 2018. "Assessment of national waste generation in EU Member States’ efficiency," MPRA Paper 84590, University Library of Munich, Germany.
    7. Puertas, Rosa & Marti, Luisa & Guaita-Martinez, José M., 2020. "Innovation, lifestyle, policy and socioeconomic factors: An analysis of European quality of life," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    8. Silvia González-de-Julián & Isabel Barrachina-Martínez & David Vivas-Consuelo & Álvaro Bonet-Pla & Ruth Usó-Talamantes, 2021. "Data Envelopment Analysis Applications on Primary Health Care Using Exogenous Variables and Health Outcomes," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    9. Quaranta, Anna Grazia & Raffoni, Anna & Visani, Franco, 2018. "A multidimensional approach to measuring bank branch efficiency," European Journal of Operational Research, Elsevier, vol. 266(2), pages 746-760.
    10. Iyad Dhaoui, 2019. "Healthcare system efficiency and its determinants: A two-stage Data Envelopment Analysis (DEA) from MENA countries," Working Papers 1320, Economic Research Forum, revised 21 Aug 2019.
    11. Ismet Sahin & Yasar Ozcan & Hacer Ozgen, 2011. "Assessment of hospital efficiency under health transformation program in Turkey," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(1), pages 19-37, March.
    12. Abdullah Korkut Üstün, 2016. "Evaluating İstanbul’s disaster resilience capacity by data envelopment analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1603-1623, February.
    13. KURT, Mehmet Emin & ÇAKMAK, Cuma & KONCA, Murat & BİÇER, İsmail, 2021. "The Affect of Behavioral Risk Factors on Healthcare System Performance," Bulletin of Economic Theory and Analysis, BETA Journals, vol. 6(1), pages 1-14, June.
    14. Silvia Saravia-Matus & T. S. Amjath-Babu & Sreejith Aravindakshan & Stefan Sieber & Jimmy A. Saravia & Sergio Gomez y Paloma, 2021. "Can Enhancing Efficiency Promote the Economic Viability of Smallholder Farmers? A Case of Sierra Leone," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    15. Huichen Jiang & Yifan He, 2018. "Applying Data Envelopment Analysis in Measuring the Efficiency of Chinese Listed Banks in the Context of Macroprudential Framework," Mathematics, MDPI, vol. 6(10), pages 1-18, September.
    16. Shao, Benjamin B.M. & Lin, Winston T., 2016. "Assessing output performance of information technology service industries: Productivity, innovation and catch-up," International Journal of Production Economics, Elsevier, vol. 172(C), pages 43-53.
    17. Sepideh Abolghasem & Mehdi Toloo & Santiago Amézquita, 2019. "Cross-efficiency evaluation in the presence of flexible measures with an application to healthcare systems," Health Care Management Science, Springer, vol. 22(3), pages 512-533, September.
    18. Víctor Giménez & Jorge R. Keith & Diego Prior, 2019. "Do healthcare financing systems influence hospital efficiency? A metafrontier approach for the case of Mexico," Health Care Management Science, Springer, vol. 22(3), pages 549-559, September.
    19. L sara Fabr cia Rodrigues & Matheus Alves Madeira de Souza & Thamara Paula dos Santos Dias, 2017. "Performance Assessment of Brazilian Power Transmission and Distribution Segments using Data Envelopment Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 14-23.
    20. de Andrés Sánchez, Jorge & Belzunegui Eraso, Ángel Gabriel & Valls Fonayet, Francesc, 2020. "Evaluación de la eficiencia del gasto social en los países EU15 con análisis envolvente de datos y métodos cluster borrosos || Evaluation of the efficiency of social spending in EU15 countries with da," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 30(1), pages 97-116, December.

    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

    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:sos:sosjrn:200113. 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: Aysen Sivrikaya (email available below). General contact details of provider: http://www.sosyoekonomijournal.org/home.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.