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Performance Evaluation of Tour de France Cycling Teams Using Data Envelopment Analysis


  • Nicky Rogge

    () (Hogeschool-Universiteit Brussel/Katholieke Universiteit Leuven)

  • Daam Van Reeth

    () (Hogeschool-Universiteit Brussel)

  • Tom Van Puyenbroeck

    () (Hogeschool-Universiteit Brussel/Katholieke Universiteit Leuven)


This paper uses a robust (order-m) DEA approach to evaluate the efficiency of Tour de France cycling teams. Since there are multiple ways this event can be successful for a cycling team, we take it that managers face strategic input decisions regarding team and rider characteristics. Specifically, we distinguish between ranking teams, sprint teams, and mixed teams, and compute for each team an efficiency score as due to the team’s performance relative to similarly classified teams and an efficiency score that is the consequence of the team type. We find that ranking teams are generally more efficient than other types of cycling teams.

Suggested Citation

  • Nicky Rogge & Daam Van Reeth & Tom Van Puyenbroeck, 2013. "Performance Evaluation of Tour de France Cycling Teams Using Data Envelopment Analysis," International Journal of Sport Finance, Fitness Information Technology, vol. 8(3), pages 236-257, August.
  • Handle: RePEc:jsf:intjsf:v:8:y:2013:i:3:p:236-257

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    References listed on IDEAS

    1. Simon Rottenberg, 1956. "The Baseball Players' Labor Market," Journal of Political Economy, University of Chicago Press, vol. 64, pages 242-242.
    2. Zou, Ning Ning (Helen) & Hobbs, Jill E., 2006. "Modelling functional food choice and health care impacts: A literature review," Consumer and Market Demand Network Papers 91556, University of Alberta, Department of Resource Economics and Environmental Sociology.
    3. Tim Pawlowski, 2013. "Testing the Uncertainty of Outcome Hypothesis in European Professional Football," Journal of Sports Economics, , vol. 14(4), pages 341-367, August.
    4. Georg Stadtmann & Dirk Czarnitzki, 2002. "Uncertainty of outcome versus reputation: Empirical evidence for the First German Football Division," Empirical Economics, Springer, vol. 27(1), pages 101-112.
    5. Brad R. Humphreys, 2002. "Alternative Measures of Competitive Balance in Sports Leagues," Journal of Sports Economics, , vol. 3(2), pages 133-148, May.
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    Cited by:

    1. Wladimir Andreff, 2016. "Chapter X: The Tour de France: a success story in spite of competitive imbalance and doping," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01279855, HAL.

    More about this item


    data envelopment analysis; Tour de France; cycling; team types; performance evaluation; robust order-m;

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism


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