IDEAS home Printed from https://ideas.repec.org/a/sos/sosjrn/200109.html
   My bibliography  Save this article

Measuring the Efficiency of Selected European Football Clubs: DEA and Panel Tobit Model

Author

Listed:
  • Halil İbrahim KESKİN
  • Hakan ÖNDES

Abstract

The aim of this study is to analyze the sportive and financial performance of 50 major football clubs in 10 European countries that give directions to the European football and to investigate the reasons affecting the club performances. The clubs’ efficiency is investigated in two stages. In the first stage, technical efficiency scores of the clubs were calculated by means of data envelopment analysis for the seasons of 2007/2008 - 2017/2018. In the second stage, the reasons behind the efficiency differences were investigated by using random effect panel Tobit model. According to the findings, while winning rates of clubs and increase in number of players in the youth system and more competitive national league affect the team performance positively, participation in the European cups and coach changes during the season affect the team performance negatively.Classification-JEL: C33, D24, Z21.

Suggested Citation

  • Halil İbrahim KESKİN & Hakan ÖNDES, 2020. "Measuring the Efficiency of Selected European Football Clubs: DEA and Panel Tobit Model," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(43).
    • Handle: RePEc:sos:sosjrn:200109
    as

    Download full text from publisher

    File URL: http://dergipark.gov.tr/download/article-file/941109
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fernández-Val, Iván & Weidner, Martin, 2016. "Individual and time effects in nonlinear panel models with large N, T," Journal of Econometrics, Elsevier, vol. 192(1), pages 291-312.
    2. Markus Kern & Bernd Süssmuth, 2005. "Managerial Efficiency in German Top League Soccer: An Econometric Analysis of Club Performances On and Off the Pitch," German Economic Review, Verein für Socialpolitik, vol. 6(4), pages 485-506, November.
    3. George E. Halkos & Nickolaos G. Tzeremes, 2013. "A Two‐Stage Double Bootstrap DEA: The Case of the Top 25 European Football Clubs' Efficiency Levels," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 34(2), pages 108-115, March.
    4. Honore, Bo E., 1993. "Orthogonality conditions for Tobit models with fixed effects and lagged dependent variables," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 35-61, September.
    5. Isidoro Guzmán & Stephen Morrow, 2007. "Measuring efficiency and productivity in professional football teams: evidence from the English Premier League," 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. 15(4), pages 309-328, November.
    6. Ray,Subhash C., 2012. "Data Envelopment Analysis," Cambridge Books, Cambridge University Press, number 9781107405264, January.
    7. Huang, Zhimin & Li, Susan X., 1996. "Dominance stochastic models in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 95(2), pages 390-403, December.
    8. 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.
    9. 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.
    10. C. P. Barros & G. Rossi, 2014. "A Bayesian stochastic frontier of Italian football," Applied Economics, Taylor & Francis Journals, vol. 46(20), pages 2398-2407, July.
    11. A. Charnes & W. W. Cooper, 1962. "Programming with linear fractional functionals," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 9(3‐4), pages 181-186, September.
    12. 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.
    13. Chilingerian, Jon A., 1995. "Evaluating physician efficiency in hospitals: A multivariate analysis of best practices," European Journal of Operational Research, Elsevier, vol. 80(3), pages 548-574, February.
    14. Dieter J. Haas, 2003. "Productive efficiency of English football teams-a data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 24(5), pages 403-410.
    15. 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 121-146, June.
    16. António S. Ribeiro & Francisco Lima, 2012. "Portuguese football league efficiency and players' wages," Applied Economics Letters, Taylor & Francis Journals, vol. 19(6), pages 599-602, April.
    17. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dina A. M. Miragaia & João J. M. Ferreira & Cédric T. Vieira, 2024. "Efficiency of Non-profit Organisations: a DEA Analysis in Support of Strategic Decision-Making," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3239-3265, March.
    2. Fabíola Zambom-Ferraresi & Lucía Isabel García-Cebrián & Fernando Lera-López & Belén Iráizoz, 2017. "Performance Evaluation in the UEFA Champions League," Journal of Sports Economics, , vol. 18(5), pages 448-470, June.
    3. Jardin, Mathieu, 2009. "Efficiency of French football clubs and its dynamics," MPRA Paper 19828, University Library of Munich, Germany.
    4. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.
    5. 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.
    6. Isidoro Guzmán-Raja & Manuela Guzmán-Raja, 2021. "Measuring the Efficiency of Football Clubs Using Data Envelopment Analysis: Empirical Evidence From Spanish Professional Football," SAGE Open, , vol. 11(1), pages 21582440219, February.
    7. J. Brandon Bolen & Jon Rezek & Joshua D. Pitts, 2019. "Performance Efficiency in NCAA Basketball," Journal of Sports Economics, , vol. 20(2), pages 218-241, February.
    8. Dina Miragaia & João Ferreira & Alexandre Carvalho & Vanessa Ratten, 2019. "Interactions between financial efficiency and sports performance," Journal of Entrepreneurship and Public Policy, Emerald Group Publishing Limited, vol. 8(1), pages 84-102, July.
    9. 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.
    10. Carlos Pestana Barros & Gaël Bertrand & Laurent Botti & Scott Tainsky, 2014. "Cost efficiency of French rugby clubs," Applied Economics, Taylor & Francis Journals, vol. 46(23), pages 2721-2732, August.
    11. Artur Wyszynski, 2016. "Efficiency Of Football Clubs In Poland," OLSZTYN ECONOMIC JOURNAL, University of Warmia and Mazury in Olsztyn, Faculty of Economic Sciences, vol. 11(1), pages 59-72, February.
    12. Francisco González-Gómez & Andrés J. Picazo-Tadeo, 2010. "Can We Be Satisfied With Our Football Team? Evidence From Spanish Professional Football," Journal of Sports Economics, , vol. 11(4), pages 418-442, August.
    13. S. Mohammad Arabzad & Mazaher Ghorbani & Arash Shahin, 2013. "Ranking players by DEA the case of English Premier League," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 15(4), pages 443-461.
    14. Emilios Galariotis & Christophe Germain & Constantin Zopounidis, 2018. "A combined methodology for the concurrent evaluation of the business, financial and sports performance of football clubs: the case of France," Annals of Operations Research, Springer, vol. 266(1), pages 589-612, July.
    15. 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.
    16. Ana Pérez-González & Pablo Carlos & Elisa Alén, 2022. "An analysis of the efficiency of football clubs in the Spanish First Division through a two-stage relational network DEA model: a simulation study," Operational Research, Springer, vol. 22(3), pages 3089-3112, July.
    17. 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.
    18. Marcelo Machado de Freitas & Rafael Araújo Sousa Farias & Leonardo Flach, 2017. "Efficiency Determinants in Brazilian Football Clubs," Brazilian Business Review, Fucape Business School, vol. 14(Special I), pages 1-23, January.
    19. 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.
    20. Carlos Pestana Barros & Peter Wanke & Otávio Figueiredo, 2015. "The Brazilian Soccer Championship: an efficiency analysis," Applied Economics, Taylor & Francis Journals, vol. 47(9), pages 906-915, February.

    More about this item

    Keywords

    Football; Technical- Efficiency; Data Envelopment Analysis; Panel Tobit Model.;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Z21 - Other Special Topics - - Sports Economics - - - Industry Studies

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sos:sosjrn:200109. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Aysen Sivrikaya (email available below). General contact details of provider: http://www.sosyoekonomijournal.org/home.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.