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

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  • 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
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    References listed on IDEAS

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    1. Halkos, George & Salamouris, Dimitrios, 2001. "Efficiency Measures of the Greek Banking Sector: A Non-Parametric Approach for the Period 1997-1999," MPRA Paper 2858, University Library of Munich, Germany.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.

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