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Performance evaluation of the English Premier Football League with data envelopment analysis

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  • Carlos Pestana Barros
  • Stephanie Leach

Abstract

This paper uses data envelopment analysis (DEA) to evaluate the performance of English Premier League football clubs from 1998/99 to 2002/03 combining sport and financial variables. The paper evaluates how close the clubs are relative to the frontier of best practices, analysing how they manage sport as well as financial results. Managerial implications of the research are devised.

Suggested Citation

  • Carlos Pestana Barros & Stephanie Leach, 2006. "Performance evaluation of the English Premier Football League with data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 38(12), pages 1449-1458.
  • Handle: RePEc:taf:applec:v:38:y:2006:i:12:p:1449-1458
    DOI: 10.1080/00036840500396574
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    References listed on IDEAS

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    Cited by:

    1. repec:qut:dpaper:282 is not listed on IDEAS
    2. Carlos Pestana Barros & Eduardo Couto & Antonio Samagaio, 2014. "Management ability, strategy, tactics and team performance," Chapters,in: Handbook on the Economics of Professional Football, chapter 11, pages 166-188 Edward Elgar Publishing.
    3. Halkos, George & Tzeremes, Nickolaos, 2011. "Applying conditional DEA to measure football clubs’ performance: Evidence from the top 25 European clubs," MPRA Paper 31278, University Library of Munich, Germany.
    4. Fiona Carmichael & Dennis Thomas, 2014. "Team performance: production and efficiency in football," Chapters,in: Handbook on the Economics of Professional Football, chapter 10, pages 143-165 Edward Elgar Publishing.
    5. repec:gam:jsusta:v:10:y:2018:i:1:p:278-:d:128110 is not listed on IDEAS
    6. Halkos, George & Tzeremes, Nickolaos, 2011. "A non-parametric analysis of the efficiency of the top European football clubs," MPRA Paper 31173, University Library of Munich, Germany.
    7. Torben Tiedemann & Tammo Francksen & Uwe Latacz-Lohmann, 2011. "Assessing the performance of German Bundesliga football players: a non-parametric metafrontier approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(4), pages 571-587, December.
    8. Stephan Nüesch, 2009. "A note on the endogeneity of the pay-performance relationship in professional soccer," Economics Bulletin, AccessEcon, vol. 29(3), pages 1850-1855.
    9. PEETERS, Thomas & SZYMANSKI, Stefan, 2012. "Vertical restraints in soccer: Financial fair play and the English Premier League," Working Papers 2012028, University of Antwerp, Faculty of Applied Economics.
    10. Antonio Samagaio & Eduardo Couto & Jorge Caiado, 2009. "Sporting, financial and stock market performance in English football: an empirical analysis of structural relationships," CEMAPRE Working Papers 0906, Centre for Applied Mathematics and Economics (CEMAPRE), School of Economics and Management (ISEG), Technical University of Lisbon.
    11. Jui-Kou Shang & Wei-Ting Hung & Fei-Ching Wang, 2008. "Service outsourcing and hotel performance: three-stage DEA analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 15(13), pages 1053-1057.
    12. repec:sgh:gosnar:y:2017:i:2:p:69-99 is not listed on IDEAS
    13. Barros, Carlos Pestana & Assaf, A.George & de Araujo, Ari Francisco, 2011. "Cost performance of Brazilian soccer clubs: A Bayesian varying efficiency distribution model," Economic Modelling, Elsevier, vol. 28(6), pages 2730-2735.
    14. Andrés Picazo-Tadeo & Francisco González-Gómez, 2010. "Does playing several competitions influence a team’s league performance? Evidence from Spanish professional football," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 18(3), pages 413-432, September.
    15. Jardin, Mathieu, 2009. "Efficiency of French football clubs and its dynamics," MPRA Paper 19828, University Library of Munich, Germany.
    16. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.
    17. Anthony Glass & Karligash Kenjegalieva & Jason Taylor, 2015. "Game, set and match: evaluating the efficiency of male professional tennis players," Journal of Productivity Analysis, Springer, vol. 43(2), pages 119-131, April.
    18. repec:ris:apltrx:0327 is not listed on IDEAS
    19. Carlos Pestana Barros & Julio del Corral & Pedro Garcia-del-Barrio, 2008. "Identification of Segments of Soccer Clubs in the Spanish League First Division With a Latent Class Model," Journal of Sports Economics, , vol. 9(5), pages 451-469, October.
    20. Villa, G. & Lozano, S., 2016. "Assessing the scoring efficiency of a football match," European Journal of Operational Research, Elsevier, vol. 255(2), pages 559-569.
    21. Stefan Szymanski, 2014. "Insolvency in English football," Chapters,in: Handbook on the Economics of Professional Football, chapter 7, pages 100-116 Edward Elgar Publishing.
    22. Barros, Carlos Pestana & Garcia-del-Barrio, Pedro, 2008. "Efficiency measurement of the English football Premier League with a random frontier model," Economic Modelling, Elsevier, vol. 25(5), pages 994-1002, September.

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