IDEAS home Printed from https://ideas.repec.org/a/auv/jipbud/v24y2019i3p61-85.html
   My bibliography  Save this article

Technical Efficiency in Iran’s Industry Sector: A Stochastic Frontier Analysis (SFA) Approach (in Persian)

Author

Listed:
  • Asgari, Mansour

    (Assistant Professor, lInstitute for Trade Studies and Research (ITSR), Tehran, Iran.)

Abstract

Nowadays, the most important factor affecting production is efficiency, which recovers economic performance, adjusts prices, enhances competitiveness, and improves social welfare and growth sustainability by influencing the production level. This paper aims to estimate the technical efficiency of production in Iran's industrial sector by implementing Stochastic Frontier Analysis (SAF); To this end, the Translog Function is used to estimate the production and technical performance of the Iranian industry sector in terms of four-digit International Standard Industrial Classification (ISIC) codes for the period 2010-2018. Accordingly, the panel data technique is applied to estimate the technical efficiency and production function Frontier Production Functions, the estimator of maximum likelihood variables of using value-added variables, labor force, capital, and energy based on four-digit ISIC codes. The results show that the chemical, petroleum, and coal industries ranked first in efficiency; textile manufacturing, clothing industry, wood, and cork industry, manufacture of articles of straw and plaiting materials, and paper and paper products ranked second in efficiency; Coke production and refined petroleum products, chemicals and chemical products, and manufacturing other non-metallic mineral products ranked third in efficiency; and lastly, manufacturing basic metals and fabricated metal products, except machinery and equipment, ranked as fourth.

Suggested Citation

  • Asgari, Mansour, 2019. "Technical Efficiency in Iran’s Industry Sector: A Stochastic Frontier Analysis (SFA) Approach (in Persian)," The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی Ùˆ بودجه), Institute for Management and Planning studies, vol. 24(3), pages 61-85, December.
  • Handle: RePEc:auv:jipbud:v:24:y:2019:i:3:p:61-85
    as

    Download full text from publisher

    File URL: http://jpbud.ir/article-1-1876-en.pdf
    Download Restriction: no

    File URL: http://jpbud.ir/article-1-1876-en.html
    Download Restriction: no

    File URL: http://jpbud.ir/article-1-1876-fa.html
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Stochastic Frontier Analysis (SAF); Technical Efficiency; Industry Sector; Maximum Likelihood Estimation; Panel Data.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

    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:auv:jipbud:v:24:y:2019:i:3:p:61-85. 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: Nahid Jebeli (email available below). General contact details of provider: https://edirc.repec.org/data/irpdair.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.