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Bulanık Veri Zarflama Analizi İle OECD Ülkelerinin Sağlık Alanındaki Etkinliklerinin Değerlendirilmesi

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  • Gözde YEŞİLAYDIN
  • Nesrin ALPTEKİN

Abstract

This study aims to determine health efficiencies of OECD countries by using fuzzy data envelopment analysis. For evaluation of efficiencies related to the countries, input variables that directly affect the health, environment variables and output variables are used. In the fuzzy data envelopment analysis, Wang, Greatbanks and Yang (2005)'s model is used. Solutions are conducted by forming interval data in the direction of Zimmermann (1991)’s ? - cut level approach. With fuzzy data envelopment analysis, upper and lower efficiency limits are obtained using five different ?- cut level. For each ?-cut level, maximum loss of efficiency value of decision making units are calculated by Minimax Regret Approach and countries with inefficient scores are listed from best to the worst. Accordingly, the best loss of efficiency value belongs to Austria and the worst value belongs to Hungary for 0; 0,25; 0,50; 0,75 ? - cut level. Turkey is located in the middle row (rows 21 and 23) among the 34 countries for 0; 0,25; 0,50; 0,75 ? - cut level and it is among the efficient countries for ?=1 cut level.

Suggested Citation

  • Gözde YEŞİLAYDIN & Nesrin ALPTEKİN, 2016. "Bulanık Veri Zarflama Analizi İle OECD Ülkelerinin Sağlık Alanındaki Etkinliklerinin Değerlendirilmesi," Sosyoekonomi Journal, Sosyoekonomi Society, issue 24(30).
  • Handle: RePEc:sos:sosjrn:160413
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    References listed on IDEAS

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    1. Adel Hatami-Marbini & Saber Saati & Madjid Tavana, 2011. "Data Envelopment Analysis with Fuzzy Parameters: An Interactive Approach," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 2(3), pages 39-53, July.
    2. Fatma Lorcu & Bilge Acar Bolat & Ahmet Atakisi, 2012. "Examining Turkey and member states of European Union in terms of health perspectives of millennium development goals," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(3), pages 959-978, April.
    3. Hatami-Marbini, Adel & Emrouznejad, Ali & Tavana, Madjid, 2011. "A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making," European Journal of Operational Research, Elsevier, vol. 214(3), pages 457-472, November.
    4. Ali Ebrahimnejad, 2012. "Cost Efficiency Measures with Trapezoidal Fuzzy Numbers in Data Envelopment Analysis Based on Ranking Functions: Application in Insurance Organization and Hospital," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 2(3), pages 51-68, July.
    5. Retzlaff-Roberts, Donna & Chang, Cyril F. & Rubin, Rose M., 2004. "Technical efficiency in the use of health care resources: a comparison of OECD countries," Health Policy, Elsevier, vol. 69(1), pages 55-72, July.
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    More about this item

    Keywords

    Efficiency; Fuzzy Data Envelopment Analysis; OECD; Health Indicators.;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development

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