Advanced Search
MyIDEAS: Login to save this paper or follow this series

Network DEA: A slacks-based measure approach

Contents:

Author Info

  • Miki Tsutsui

    (Central Research Institute of Electric Power Industry)

  • Kaoru Tone

    (National Graduate Institute for Policy Studies)

Registered author(s):

    Abstract

    Traditional DEA models deal with measurements of relative efficiency of DMUs regarding multiple-inputs vs. multiple-outputs. One of the drawbacks of these models is the neglect of intermediate products or linking activities. After pointing out needs for inclusion of them in DEA models, we propose a slacks-based network DEA model that can deal with intermediate products. Using this model we can evaluate divisional efficiencies along with the overall efficiency of decision making units (DMUs).

    Download Info

    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: http://r-center.grips.ac.jp/gallery/docs/07-08.pdf
    Download Restriction: no

    Bibliographic Info

    Paper provided by National Graduate Institute for Policy Studies in its series GRIPS Discussion Papers with number 07-08.

    as in new window
    Length: 36 pages
    Date of creation: Nov 2007
    Date of revision:
    Handle: RePEc:ngi:dpaper:07-08

    Contact details of provider:
    Postal: 7-22-1 Roppongi, Minato-ku, Tokyo, Japan 106-8677
    Phone: +81-(0)3-6439-6000
    Fax: +81-(0)3-6439-6010
    Web page: http://www.grips.ac.jp/r-center/en/discussion_papers/
    More information through EDIRC

    Related research

    Keywords: Data envelopment analysis; Network DEA; SBM; divisional efficiency; overall efficiency;

    References

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

    Citations

    Lists

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

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:ngi:dpaper:07-08. 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: ().

    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.