IDEAS home Printed from https://ideas.repec.org/a/sgm/pzwzuw/v20i98y2022p90-109.html
   My bibliography  Save this article

Health System Efficiency of OECD Countries with Data Envelopment Analysis

Author

Listed:
  • Yusuf Ersoy

    (Malazgirt Vocational School, Muº Alparslan University, Muº, Turkey)

  • Adem Aktaº

    (Malazgirt Vocational School, Muº Alparslan University, Muº, Turkey)

Abstract

Purpose: This study is aimed at measuring the efficiency of 37 OECD countries for 2020 using the Data Envelopment Analysis (DEA) method. Besides, it is aimed at ranking the efficient decision making units by using the super-efficiency DEA model. Design/methodology/approach: In the study, analyses were carried out with input-oriented Charnes, Cooper and Rhodes (CCR), input-oriented Banker, Charnes and Cooper (BCC) models and super-efficiency models of these models by using 4 inputs and 3 outputs. Findings: As a result of the analysis, 14 countries in the CCR model and 20 countries in the BCC model were efficient. According to the results of the super-efficiency models, the efficient countries were ranked. Research limitations/implications: The limitations of the study are the analyses are based on input-oriented DEA models and the research was conducted in OECD countries. Originality/value: Performance evaluation of health systems has gained importance in recent years. Many countries are making efforts to improve their health systems. Due to epidemics such as COVID-19, OECD countries, like many countries around the world, have increased the share of health expenditures in GDP. Because of this situation, the evaluation of the performance of OECD countries in the field of health has emerged as a very important research topic.

Suggested Citation

  • Yusuf Ersoy & Adem Aktaº, 2022. "Health System Efficiency of OECD Countries with Data Envelopment Analysis," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 20(98), pages 90-109.
    • Handle: RePEc:sgm:pzwzuw:v:20:i:98:y:2022:p:90-109
    as

    Download full text from publisher

    File URL: https://press.wz.uw.edu.pl/ems/vol20/iss4/4
    Download Restriction: no
    File URL: http://pz.wz.uw.edu.pl/en
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    data envelopment analysis; GDP; health system efficiency; OECD countries; performance measurement;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • P40 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - General

    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:sgm:pzwzuw:v:20:i:98:y:2022:p:90-109. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/somuwpl.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.