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Measuring the Performance of Nations at Beijing Summer Olympics Using Integer-Valued DEA Model

Author

Listed:
  • Jie Wu

    (School of Management, University of Science and Technology of China, He Fei, An Hui Province, PR China, jacky012@mail.ustc.edu.cn)

  • Zhixiang Zhou

    (School of Management, University of Science and Technology of China, He Fei, An Hui Province, PR China)

  • Liang Liang

    (School of Management, University of Science and Technology of China, He Fei, An Hui Province, PR China)

Abstract

A number of studies have used data envelopment analysis (DEA) to evaluate the performance of the countries in Olympic Games. While the fact that numbers of three kinds of medal must only take integer values is ignored. This study discusses, by means of integer-valued DEA model, the performance of each country at 2008 Beijing Summer Olympic Games. The model in the article considers two inputs (gross domestic product [GDP] per capita and population) and three outputs (number of gold, silver, and bronze medals won); the integrality constraints of three kinds of medal and the weight restrictions among three outputs are also included. The results for the 2008 Beijing Summer Olympic Games are analyzed, and integral output targets are also provided for poorly performing countries to use as benchmarks.

Suggested Citation

  • Jie Wu & Zhixiang Zhou & Liang Liang, 2010. "Measuring the Performance of Nations at Beijing Summer Olympics Using Integer-Valued DEA Model," Journal of Sports Economics, , vol. 11(5), pages 549-566, October.
    • Handle: RePEc:sae:jospec:v:11:y:2010:i:5:p:549-566
    DOI: 10.1177/1527002509352619
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    References listed on IDEAS

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    2. Xiyang Lei & Yongjun Li & Qiwei Xie & Liang Liang, 2015. "Measuring Olympics achievements based on a parallel DEA approach," Annals of Operations Research, Springer, vol. 226(1), pages 379-396, March.
    3. Aaron Lowen & Robert O. Deaner & Erika Schmitt, 2016. "Guys and Gals Going for Gold," Journal of Sports Economics, , vol. 17(3), pages 260-285, April.
    4. 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.
    5. Jie Wu & Zhixiang Zhou, 2015. "A mixed-objective integer DEA model," Annals of Operations Research, Springer, vol. 228(1), pages 81-95, May.
    6. José L. Ruiz & Diego Pastor & Jesús T. Pastor, 2013. "Assessing Professional Tennis Players Using Data Envelopment Analysis (DEA)," Journal of Sports Economics, , vol. 14(3), pages 276-302, June.
    7. Li, Yongjun & Lei, Xiyang & Dai, Qianzhi & Liang, Liang, 2015. "Performance evaluation of participating nations at the 2012 London Summer Olympics by a two-stage data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 243(3), pages 964-973.
    8. Ester Gutiérrez & Sebastián Lozano, 2014. "A DEA Approach to Performance-Based Budgeting of Formula One Constructors," Journal of Sports Economics, , vol. 15(2), pages 180-200, April.
    9. Alexandre de Cássio Rodrigues & Carlos Alberto Gonçalves & Tiago Silveira Gontijo, 2019. "A two-stage DEA model to evaluate the efficiency of countries at the Rio 2016 Olympic Games," Economics Bulletin, AccessEcon, vol. 39(2), pages 1538-1545.
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