IDEAS home Printed from https://ideas.repec.org/p/ege/wpaper/0711.html
   My bibliography  Save this paper

Welfare Losses Due To Inefficient Structure – Turkey Case

Author

Listed:
  • Ensar Yesilyurt

    (Department of Economics, Pamukkale University)

  • Filiz Yesilyurt

    (Department of Economics, Ege University)

Abstract

Purpose: The present study is intended to analyze hospital efficiency according to ownership. Methodology/approach: The method used in this study is the data envelopment analysis (variable returns to scale-DEA). With this method, the efficiency levels of the active training hospitals in Turkey have been determined. Findings: The order of many effective training hospitals in Turkey is as follows: Social security institute hospitals, private university hospitals, public hospitals and state hospitals. The total welfare loss which stems from this inefficient structure in these hospitals is calculated as $76.379.920. Research limitation: The difficulty of attaining the data has limited the researh to the year 2003. Originality/value: In this study, slacks and congestion have been used as the complementaries of the efficiency analyses. Therefore, the results obtained from DEA have been used in order to attain political implications and thus political propositions

Suggested Citation

  • Ensar Yesilyurt & Filiz Yesilyurt, 2007. "Welfare Losses Due To Inefficient Structure – Turkey Case," Working Papers 0711, Ege University, Department of Economics, revised Dec 2008.
  • Handle: RePEc:ege:wpaper:0711
    as

    Download full text from publisher

    File URL: http://iibf.ege.edu.tr/economics/papers/wp07-11.pdf
    File Function: Revised version, 2008
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    DEA; efficiency; congestion; slacks;
    All these keywords.

    JEL classification:

    • D2 - Microeconomics - - Production and Organizations
    • D6 - Microeconomics - - Welfare Economics
    • I0 - Health, Education, and Welfare - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ege:wpaper:0711. 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: Baris Gök (email available below). General contact details of provider: https://edirc.repec.org/data/deegetr.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.