IDEAS home Printed from https://ideas.repec.org/p/ags/aare03/57928.html

DEA based yardstick competition in natural resource management

Author

Listed:
  • Bogetoft, Peter
  • Nielsen, Kurt

Abstract

In this paper, we discuss the pros and cons of using Data Envelopment Analysis (DEA) to evaluate and enhance the efficiency of natural resource management. The need for a multidimensional production frontier approach is sketched, along with examples from other regulated multi-output industries, Also, reviews of the basic properties of DEA and DEA based yardstick competition are provided. Finally, we discuss the use of DEA based yardstick to evaluate bids in multi-dimensional procurement auctions.

Suggested Citation

  • Bogetoft, Peter & Nielsen, Kurt, 2003. "DEA based yardstick competition in natural resource management," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57928, Australian Agricultural and Resource Economics Society.
  • Handle: RePEc:ags:aare03:57928
    DOI: 10.22004/ag.econ.57928
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/57928/files/2003_nielsen.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.57928?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
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Jens Leth Hougaard & Kurt Nielsen & Athanasios Papakonstantinou, 2012. "A Simple Multi-attribute Yardstick Auction Without Prior Scoring," MSAP Working Paper Series 02_2012, University of Copenhagen, Department of Food and Resource Economics.
    2. Bogetoft, Peter & Nielsen, Kurt, 2008. "DEA based auctions," European Journal of Operational Research, Elsevier, vol. 184(2), pages 685-700, January.
    3. Juan Aparicio & Mercedes Landete & Juan Monge & Inmaculada Sirvent, 2008. "A new pricing scheme based on DEA for iterative multi-unit combinatorial auctions," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(2), pages 319-344, December.

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • H57 - Public Economics - - National Government Expenditures and Related Policies - - - Procurement
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General

    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:ags:aare03:57928. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaresea.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.