IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Environmental Efficiency Assessment of Iranian Electric Power Companies: Comparison between Radial and Non-Radial Models

Listed author(s):
  • Mamipour, Siab


    (Assistant Professor in Economics, Kharazmi University)

  • Najafzadeh, Behnam


    (MA Student of Socio-Economic Systems, Kharazmi University,)

Registered author(s):

    This study uses DEA non-parametric approach (Data Envelopment Analysis) to measure the environmental efficiency of 16 Iranian electric power companies during the period (2010-2014). The proposed approach incorporates not only the output separation (desirable and undesirable) but also the input separation (energy and non-energy). This study discusses some non-radial models) slack based measure, Slack based measure based on directional distance function, Range adjusted measure) and compare them with other previous DEA radial models (CCR, Directional distance function) used for the performance evaluation of electric power companies. After the methodological comparison, this study applies the proposed approaches for measuring the environmental efficiency of Iranian fossil fuel power generation. The results show that Kerman and Khuzestan electric power companies belong to a high level of environmental efficiency and the worst performers are Sistan and Baluchestan and Fars companies in term of fossil fuel power generation. Finally, we can conduct a rank sum test based upon their ranking scores to obtain a statistical inference. We find two economic implications. One of the two implications is that no major change has occurred in the operational performance of Iranian electric power industry from 2010 to 2014. The other implication indicates that there are strategic differences in the operation of Iranian electric power firms after the liberalization.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    File Function: Full text
    Download Restriction: no

    Article provided by Faculty of Economics, Management and Business, University of Tabriz in its journal Quarterly Journal of Applied Theories of Economics.

    Volume (Year): 3 (2016)
    Issue (Month): 3 (November)
    Pages: 153-178

    in new window

    Handle: RePEc:ris:qjatoe:0055
    Contact details of provider: Web page:

    More information through EDIRC

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:ris:qjatoe:0055. 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: (Sakineh Sojoodi)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.