IDEAS home Printed from
   My bibliography  Save this paper

Izmir Küçük, Orta ve Büyük Ölçekli Imalat sanayinde Üretim Etkinligi ve Toplam Faktör Verimliligi Analizi


  • Ertugrul Deliktas

    () (Department of Economics, Ege University)


(This paper is in Turkish) This paper based on three-digit (international standard industrial classification, ISIC-Rev.3) panel data over the 1991-2000 period measures technical efficiency and total factor productivity growth in the public and privately owned manufacturing sub-sectors in Ýzmir by using Data Envelopment Analysis and Malmquist productivity index. DEA. The empirical findings show that large-scale manufacturing industries are generally more efficient than the medium and small-scale industries in Ýzmir manufacturing industry. Also, privately-owned manaufacturing industries are more efficient than publicly- owned manufacturing industries, except for petroleum refineries, operating at the same scale. The most efficient manufacturing industries during the study period are petroleum refineries, tobacco manufactures, manufacture of pottery, china and earthenware, and beverage industries, respectively. On the other hand, the least efficient industries are manufacture of wood and wood cork products, except furniture; manufacture of leather and product of leather, leather substitutes and fur; and manufacture of textiles, respectively. Ýzmir manufacturing industry experienced annual average technical efficiency decline, technical progress and total factor productivity growth over the 1991-2000 period.

Suggested Citation

  • Ertugrul Deliktas, 2006. "Izmir Küçük, Orta ve Büyük Ölçekli Imalat sanayinde Üretim Etkinligi ve Toplam Faktör Verimliligi Analizi," Working Papers 0603, Ege University, Department of Economics.
  • Handle: RePEc:ege:wpaper:0603

    Download full text from publisher

    File URL:
    File Function: First version, 2006
    Download Restriction: no

    More about this item


    izmir manufacturing industry; technical efficiency; data envelopment analysis.;

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • L6 - Industrial Organization - - Industry Studies: Manufacturing

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:0603. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Baris Gök). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.