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Measuring efficiency and productivity in professional football teams: evidence from the English Premier League

  • Isidoro Guzmán


  • Stephen Morrow


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    Professional football clubs are unusual businesses, their performance judged on and off the field of play. This study is concerned with measuring the efficiency of clubs in the English Premier League. Information from clubs’ financial statements is used as a measure of corporate performance. To measure changes in efficiency and productivity the Malmquist non-parametric technique has been used. This is derived from the Data Envelopment Analysis (DEA) linear programming approach, with Canonical Correlation Analysis (CCA) being used to ensure the cohesion of the input–output variables. The study concludes that while clubs operate close to efficient levels for the assessed models, there is limited technological advance in their performance in terms of the displacement of the technological frontier. Copyright Springer-Verlag 2007

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    Article provided by Springer in its journal Central European Journal of Operations Research.

    Volume (Year): 15 (2007)
    Issue (Month): 4 (November)
    Pages: 309-328

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    Handle: RePEc:spr:cejnor:v:15:y:2007:i:4:p:309-328
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    1. Allen N. Berger & Loretta J. Mester, 2001. "Explaining the Dramatic Changes in Performance of U.S. Banks: Technological Change, Deregulation and Dynamic Changes in Competition," Center for Financial Institutions Working Papers 01-22, Wharton School Center for Financial Institutions, University of Pennsylvania.
    2. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    3. Sherman, H. David & Gold, Franklin, 1985. "Bank branch operating efficiency : Evaluation with Data Envelopment Analysis," Journal of Banking & Finance, Elsevier, vol. 9(2), pages 297-315, June.
    4. repec:fth:harver:1487 is not listed on IDEAS
    5. Smith, P, 1990. "Data envelopment analysis applied to financial statements," Omega, Elsevier, vol. 18(2), pages 131-138.
    6. 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.
    7. Sloane, Peter J, 1971. "The Economics of Professional Football: The Football Club as a Utility Maximiser," Scottish Journal of Political Economy, Scottish Economic Society, vol. 18(2), pages 121-46, June.
    8. Allen N. Berger & Loretta J. Mester, 1999. "What Explains the Dramatic Changes in Cost and Profit Performance of the U.S. Banking Industry?," Center for Financial Institutions Working Papers 99-10, Wharton School Center for Financial Institutions, University of Pennsylvania.
    9. Peter Dawson & Stephen Dobson & Bill Gerrard, 2000. "Stochastic Frontiers and the Temporal Structure of Managerial Efficiency in English Soccer," Journal of Sports Economics, , vol. 1(4), pages 341-362, November.
    10. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    11. Parkan, Celik, 1987. "Measuring the efficiency of service operations: An application to bank branches," Engineering Costs and Production Economics, Elsevier, vol. 12(1-4), pages 237-242, July.
    12. El-Mahgary, Sami & Lahdelma, Risto, 1995. "Data envelopment analysis: Visualizing the results," European Journal of Operational Research, Elsevier, vol. 83(3), pages 700-710, June.
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