IDEAS home Printed from https://ideas.repec.org/a/taf/tjorxx/v69y2018i12p1903-1919.html
   My bibliography  Save this article

Modelling undesirable outputs in multiple objective data envelopment analysis

Author

Listed:
  • Mahdi Mahdiloo
  • Abdol Hossein Jafarzadeh
  • Reza Farzipoor Saen
  • Yong Wu
  • John Rice

Abstract

Recent empirical and conceptual work in data envelopment analysis (DEA) have emphasised its potential importance in highlighting the environmental performance of economic entities. Initial work in this emerging research area has focused on the separation of output factors into desirable and undesirable ones. In this paper, we describe recent developments in the modelling undesirable outputs. In particular, the modelling of undesirable outputs in the range adjusted measure (RAM) is investigated. We discuss some of the difficulties of RAM in assessing the environmental efficiency of decision-making units (DMUs) and develop a multiple objective DEA model to overcome these difficulties. The proposed multiple objective model is solved as a linear programming and its applicability as a mechanism for assessing environmental efficiency is demonstrated by evaluating the technical, ecological and process environmental quality efficiency scores of China’s provinces.

Suggested Citation

  • Mahdi Mahdiloo & Abdol Hossein Jafarzadeh & Reza Farzipoor Saen & Yong Wu & John Rice, 2018. "Modelling undesirable outputs in multiple objective data envelopment analysis," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(12), pages 1903-1919, December.
  • Handle: RePEc:taf:tjorxx:v:69:y:2018:i:12:p:1903-1919
    DOI: 10.1080/01605682.2017.1415647
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01605682.2017.1415647
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/01605682.2017.1415647?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.

    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:tjorxx:v:69:y:2018:i:12:p:1903-1919. 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/tjor .

    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.