IDEAS home Printed from https://ideas.repec.org/a/taf/rrpaxx/v25y2020i1p1-21.html
   My bibliography  Save this article

Assessment of public sector performance in the MENA region: data envelopment approach

Author

Listed:
  • Gisele Msann
  • Wadad Saad

Abstract

This paper aims to measure the performance and efficiency of the public sector in the MENA region over the 2004–2015 period. To do so, two approaches are used: composite indicator approach and Data Envelopment Analysis (DEA). Fourteen, relatively stable, countries from the MENA region were chosen to construct the study sample. The findings of the input-oriented DEA indicate that the United Arab Emirates is the only efficient country according to constant return to scale model, and that the United Arab Emirates, Qatar, and Iran are the most efficient countries with respect to variable return to scale model. Moreover, a comparison of the efficiency of the MENA countries in question to the efficiency of a number of emergent countries in Europe and South America shows that the emerging countries of Europe are the most efficient, followed by South American countries and finally those of the MENA region.

Suggested Citation

  • Gisele Msann & Wadad Saad, 2020. "Assessment of public sector performance in the MENA region: data envelopment approach," International Review of Public Administration, Taylor & Francis Journals, vol. 25(1), pages 1-21, January.
  • Handle: RePEc:taf:rrpaxx:v:25:y:2020:i:1:p:1-21
    DOI: 10.1080/12294659.2019.1702777
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/12294659.2019.1702777
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/12294659.2019.1702777?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Xiaoqing & Kerstens, Kristiaan & Tsionas, Mike, 2024. "Does productivity change at all in Swedish district courts? Empirical analysis focusing on horizontal mergers," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    2. Milica Jovanović & Gordana Savić & Yuzhuo Cai & Maja Levi-Jakšić, 2022. "Towards a Triple Helix based efficiency index of innovation systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2577-2609, May.

    More about this item

    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:taf:rrpaxx:v:25:y:2020:i:1:p:1-21. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RRPA20 .

    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.