IDEAS home Printed from https://ideas.repec.org/a/hin/jnljam/963791.html
   My bibliography  Save this article

Review of Input Congestion Estimating Methods in DEA

Author

Listed:
  • Mohammad Khodabakhshi
  • Farhad Hosseinzadeh Lotfi
  • Kourosh Aryavash

Abstract

Congestion is an economic phenomenon in the production process where excessive amounts of the input cause a reduction of the output. The motivation of this paper is to investigate and compare the methods provided for estimating congestion in the DEA literature.

Suggested Citation

  • Mohammad Khodabakhshi & Farhad Hosseinzadeh Lotfi & Kourosh Aryavash, 2014. "Review of Input Congestion Estimating Methods in DEA," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-9, April.
    • Handle: RePEc:hin:jnljam:963791
    DOI: 10.1155/2014/963791
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/JAM/2014/963791.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/JAM/2014/963791.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2014/963791?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peixin Duan, 2022. "How large of a grant size is appropriate? Evidence from the National Natural Science Foundation of China," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-14, February.
    2. Xian-tong Ren & Guo-liang Yang, 2024. "Eliminating congestion in China’s papermaking and paper products industry: From both the perspective of increasing and decreasing inputs," Journal of Productivity Analysis, Springer, vol. 61(1), pages 63-82, February.

    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:hin:jnljam:963791. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.