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Efficiency Study of Greek Health Units of the Public Sector using Data Envelopment Analysis Method, before and during the start of the Economic Crisis

Author

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  • Georgios I. Farantos

    (Department of Political Science and International Relations, University of Peloponnese, 1 Aristotelous Str. & Athinon Ave., Korinthos, Greece)

  • Nikitas Spiros Koutsoukis

    (Department of Political Science and International Relations, University of Peloponnese, 1 Aristotelous Str. & Athinon Ave., Korinthos, Greece)

Abstract

Purpose – The purpose of this paper is to investigate the Technical Efficiency through an Efficiency Study of Health Units of the Greek Ministry of Health, before and during the start of the Economic Crisis in Greece. Design/methodology/approach – The research has been designed to collect data regarding the Health Units of the Public Sector from the Greek Statistical Authority (ELSTAT) and to process that data with the use of the Data Envelopment Analysis software. The methodology of the research extends to the application of the Efficiency Study of Decision Making Units (DMUs), the study of variations of Technical Efficiency during a number of years and the extraction of conclusions regarding variations in Technical Efficiency at a time period before and during the start of the Crisis. Data from large Health Units was used in order to achieve comparison of the results. Findings – We calculate the DEA scores based on the most common DEA models (CCR, BCC and Super Efficiency) for the Health Units of the Greek Ministry of Health. We examine the variation in Technical Efficiency of the Health Units during the extent of the time period of the study. The Efficiency Study of the Health Units leads to useful conclusions regarding the variation in the observed Efficiency of the Units and the integration of the Efficiency variation studies, as part of the initial stage of an Integrated Crisis Management. The research ranks the efficient and non-efficient units and suggests ways of improvement. Research limitations/implications – This is a study about the Health Units of the Public Sector using size as a criterion. The investigation is limited to the Public Health Sector and its conclusions cannot be extended to the Private Health Sector. There are no geographical restrictions. Originality/value – This is an innovative research which allows for further case studies in the future and completion of Efficiency studies after the end of the Economic Crisis.

Suggested Citation

  • Georgios I. Farantos & Nikitas Spiros Koutsoukis, 2016. "Efficiency Study of Greek Health Units of the Public Sector using Data Envelopment Analysis Method, before and during the start of the Economic Crisis," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 9(2), pages 19-31, June.
    • Handle: RePEc:tei:journl:v:9:y:2016:i:2:p:19-31
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    References listed on IDEAS

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    1. Grinin Leonid & Korotayev Andrey, 2013. "Kondratieff's Mystery," Method and History of Economic Thought emanova_elena.12760-kondr, Socionet.
    2. Bauer, Paul W. & Berger, Allen N. & Ferrier, Gary D. & Humphrey, David B., 1998. "Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods," Journal of Economics and Business, Elsevier, vol. 50(2), pages 85-114, March.
    3. Ray,Subhash C., 2012. "Data Envelopment Analysis," Cambridge Books, Cambridge University Press, number 9781107405264.
    4. 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.
    5. E. Nur Ozkan‐Gunay & Arzu Tektas, 2006. "Efficiency Analysis Of The Turkish Banking Sector In Precrisis And Crisis Period: A Dea Approach," Contemporary Economic Policy, Western Economic Association International, vol. 24(3), pages 418-431, July.
    6. R. Allen & A. Athanassopoulos & R.G. Dyson & E. Thanassoulis, 1997. "Weights restrictions and value judgements in Data Envelopment Analysis: Evolution, development and future directions," Annals of Operations Research, Springer, vol. 73(0), pages 13-34, October.
    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. Barros, Carlos Pestana, 2008. "Airports in Argentina: Technical efficiency in the context of an economic crisis," Journal of Air Transport Management, Elsevier, vol. 14(6), pages 315-319.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Economic Crisis; Data Envelopment Analysis; Efficiency Study; Decision Making Unit; Health Units;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • I1 - Health, Education, and Welfare - - Health
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management

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