IDEAS home Printed from https://ideas.repec.org/a/taf/jbemgt/v14y2013i4p651-663.html
   My bibliography  Save this article

A meta-frontier approach to measure productivity differences of domestic and foreign affiliated firms

Author

Listed:
  • Halil Tunca
  • Mehmet Karaçuka
  • A. Nazif Çatik

Abstract

This paper aims to evaluate the performance of foreign affiliated and domestic firms in Turkish manufacturing subsectors covering the period 1992 and 2001. Due to the heterogeneity between domestic and foreign affiliated firms in terms of technology level, we construct a meta-frontier model to measure relative efficiency and technology gap ratios (TGR's) of domestic and foreign affiliated firms. We find that technical efficiencies of foreign affiliated firms are higher than domestic firms, and display a stable pattern during the investigation period. However; technology gap ratios indicate the existence of a negative relationship between the TGR's and technical efficiency of the firms in domestic subsectors. This means that technically efficient firms are in fact using the low level of technology. However the results do not indicate any significant relationship between the technical efficiency and TGR's of foreign affiliated firms.

Suggested Citation

  • Halil Tunca & Mehmet Karaçuka & A. Nazif Çatik, 2013. "A meta-frontier approach to measure productivity differences of domestic and foreign affiliated firms," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 14(4), pages 651-663, September.
    • Handle: RePEc:taf:jbemgt:v:14:y:2013:i:4:p:651-663
    DOI: 10.3846/16111699.2011.653580
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.3846/16111699.2011.653580
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.3846/16111699.2011.653580?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. Jayanath Ananda & Dong-hyun Oh, 2023. "Assessing environmentally sensitive productivity growth: incorporating externalities and heterogeneity into water sector evaluations," Journal of Productivity Analysis, Springer, vol. 59(1), pages 45-60, February.

    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:jbemgt:v:14:y:2013:i:4:p:651-663. 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/TBEM20 .

    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.