IDEAS home Printed from https://ideas.repec.org/a/ids/injams/v2y2010i1p76-92.html
   My bibliography  Save this article

Cross-efficiency evaluation approach to Olympic ranking and benchmarking: the case of Beijing 2008

Author

Listed:
  • Jie Wu
  • Liang Liang

Abstract

A number of studies have used data envelopment analysis (DEA) to evaluate the performance of the countries in the Olympic Games. In this paper, an extension tool of DEA, namely cross-efficiency evaluation method, is used to measure the performance of the nations participating in the Summer Olympic Games of Beijing 2008. The model in the paper considers two inputs (GDP per capita and population) and three outputs (number of gold, silver and bronze medals won) and the weight restrictions are included to guarantee a higher valuation for gold medals than for silver medal and higher for the latter than for bronze medals. The results for the Beijing 2008 Olympic Games are analysed and a unique ordering of the participants based on average cross-efficiency is provided, also cluster analysis technique is used to select the more appropriate targets for poorly performing countries to use as benchmarks.

Suggested Citation

  • Jie Wu & Liang Liang, 2010. "Cross-efficiency evaluation approach to Olympic ranking and benchmarking: the case of Beijing 2008," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 2(1), pages 76-92.
    • Handle: RePEc:ids:injams:v:2:y:2010:i:1:p:76-92
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=29798
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Calzada-Infante, Laura & Lozano, Sebastián, 2016. "Analysing Olympic Games through dominance networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 1215-1230.
    2. Jie Wu & Qingyuan Zhu & Junfei Chu & Liang Liang, 2015. "Two-Stage Network Structures with Undesirable Intermediate Outputs Reused: A DEA Based Approach," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 455-477, October.
    3. Alcaraz, Javier & Aparicio, Juan & Monge, Juan Fco & Ramón, Nuria, 2022. "Weight profiles in cross-efficiency evaluation based on hypervolume maximization," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    4. Wu, Jie & Zhu, Qingyuan & Ji, Xiang & Chu, Junfei & Liang, Liang, 2016. "Two-stage network processes with shared resources and resources recovered from undesirable outputs," European Journal of Operational Research, Elsevier, vol. 251(1), pages 182-197.

    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:ids:injams:v:2:y:2010:i:1:p:76-92. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=286 .

    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.