IDEAS home Printed from https://ideas.repec.org/a/spr/operea/v22y2022i3d10.1007_s12351-021-00650-5.html
   My bibliography  Save this article

An analysis of the efficiency of football clubs in the Spanish First Division through a two-stage relational network DEA model: a simulation study

Author

Listed:
  • Ana Pérez-González

    (Campus University of Vigo, Campus Universitario As Lagoas s/n)

  • Pablo Carlos

    (Campus University of Vigo, Campus Universitario As Lagoas s/n)

  • Elisa Alén

    (Campus University of Vigo, Campus Universitario As Lagoas s/n)

Abstract

Previous works that have analysed the efficiency of the management of professional football clubs have not paid much attention to the interaction between the sporting, social and economic dimensions of their activity. To bridge this research gap, a DEA model is developed and applied to determine the relative efficiency of clubs participating in one of the main football leagues while taking into account their multiplicity of objectives. The proposed two-stage relational network DEA model assumes that the financial resources of the clubs are distributed between social and sporting dimensions, contributing to generate results in both areas that, in the second stage, determine the business performance of the clubs. As the actual distributions of the primary inputs are unknown, two complementary approaches are used. First, the model is solved by assuming a parameterization of the distribution. Then, a simulation model is used to study the effect of the different distributions on the efficiency by means of contour charts. A final cluster analysis completes the study. The sample consists of the 20 clubs that played in Spain’s First Division in the 2016–17 season. The evidence shows that the efficiency of the clubs increases when a higher proportion of the primary inputs is allocated to the social dimension. In addition, the clubs are more efficient in converting their sporting and social results into income, than when turning their economic resources into sporting successes and social support. As a result, the model makes it possible to extend efficiency analysis to professional sports organisations which have multiple objectives.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:operea:v:22:y:2022:i:3:d:10.1007_s12351-021-00650-5
    DOI: 10.1007/s12351-021-00650-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12351-021-00650-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12351-021-00650-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kao, Chiang, 2009. "Efficiency decomposition in network data envelopment analysis: A relational model," European Journal of Operational Research, Elsevier, vol. 192(3), pages 949-962, February.
    2. Jardin, Mathieu, 2009. "Efficiency of French football clubs and its dynamics," MPRA Paper 19828, University Library of Munich, Germany.
    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. 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.
    5. Thomas Sexton & Herbert Lewis, 2003. "Two-Stage DEA: An Application to Major League Baseball," Journal of Productivity Analysis, Springer, vol. 19(2), pages 227-249, April.
    6. 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.
    7. 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.
    8. Alessandro Ghio & Massimo Ruberti & Roberto Verona, 2019. "Financial constraints on sport organizations’ cost efficiency: the impact of financial fair play on Italian soccer clubs," Applied Economics, Taylor & Francis Journals, vol. 51(24), pages 2623-2638, May.
    9. Alexandros M. Theodoridis & Md. Mazharul Anwar, 2011. "A comparison of DEA and SFA methods: a case study of farm households in Bangladesh," Journal of Developing Areas, Tennessee State University, College of Business, vol. 45(1), pages 95-110, July-Dece.
    10. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    11. Ermis Chelmis & Dimitrios Niklis & George Baourakis & Constantin Zopounidis, 2019. "Multiciteria evaluation of football clubs: the Greek Superleague," Operational Research, Springer, vol. 19(2), pages 585-614, June.
    12. Chao, Shih-Liang & Yu, Ming-Miin & Hsieh, Wei-Fan, 2018. "Evaluating the efficiency of major container shipping companies: A framework of dynamic network DEA with shared inputs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 44-57.
    13. 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.
    14. Ming-Miin Yu & Li-Hsueh Chen, 2020. "A meta-frontier network data envelopment analysis approach for the measurement of technological bias with network production structure," Annals of Operations Research, Springer, vol. 287(1), pages 495-514, April.
    15. Tavassoli, Mohammad & Faramarzi, Gholam Reza & Farzipoor Saen, Reza, 2014. "Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 146-153.
    16. James Odeck, 2007. "Measuring technical efficiency and productivity growth: a comparison of SFA and DEA on Norwegian grain production data," Applied Economics, Taylor & Francis Journals, vol. 39(20), pages 2617-2630.
    17. Manuel Espitia-Escuer & Lucia Isabel Garcia-Cebrián, 2010. "Measurement of the efficiency of football teams in the Champions League," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 373-386.
    18. Chiang Kao, 2014. "Efficiency Decomposition in Network Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 55-77, Springer.
    19. Boscá, José E. & Liern, Vicente & Martínez, Aurelio & Sala, Ramøn, 2009. "Increasing offensive or defensive efficiency? An analysis of Italian and Spanish football," Omega, Elsevier, vol. 37(1), pages 63-78, February.
    20. 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.
    21. 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.
    22. Fabíola Zambom-Ferraresi & Fernando Lera-López & Belén Iráizoz, 2017. "And if the ball does not cross the line? A comprehensive analysis of football clubs’ performance," Applied Economics Letters, Taylor & Francis Journals, vol. 24(17), pages 1259-1262, October.
    23. 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.
    24. 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.
    25. 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.
    26. Carlos Barros & Pedro Garcia-del-Barrio, 2011. "Productivity drivers and market dynamics in the Spanish first division football league," Journal of Productivity Analysis, Springer, vol. 35(1), pages 5-13, February.
    27. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. David Boto‐García & Carlos Varela‐Quintana & Alvaro Muñiz, 2023. "Foreign players, team production, and technical efficiency: Evidence from European soccer," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 1209-1241, October.
    2. Amir Homayoun Sarfaraz & Amir Karbassi Yazdi & Thomas Hanne & Peter Fernandes Wanke & Raheleh Sadat Hosseini, 2023. "Assessing repair and maintenance efficiency for water suppliers: a novel hybrid USBM-FIS framework," Operations Management Research, Springer, vol. 16(3), pages 1321-1342, September.

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Plácido Moreno & Sebastián Lozano, 2014. "A network DEA assessment of team efficiency in the NBA," Annals of Operations Research, Springer, vol. 214(1), pages 99-124, March.
    6. Sergio Destefanis & Francesco Addesa & Giambattista Rossi, 2022. "The impact of COVID-19 on home advantage: a conditional order-m analysis of football clubs’ efficiency in the top-5 European leagues," Applied Economics, Taylor & Francis Journals, vol. 54(58), pages 6639-6655, December.
    7. Amar Oukil & Srikrishna Madhumohan Govindaluri, 2017. "A systematic approach for ranking football players within an integrated DEA‐OWA framework," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 38(8), pages 1125-1136, December.
    8. Tatiana Bencova & Andrea Bohacikova, 2022. "DEA in Performance Measurement of Two-Stage Processes: Comparative Overview of the Literature," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 111-129.
    9. 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.
    10. Fiona Carmichael & Giambattista Rossi & Denis Thomas, 2017. "Production, Efficiency, and Corruption in Italian Serie A Football," Journal of Sports Economics, , vol. 18(1), pages 34-57, January.
    11. Javier Cifuentes‐Faura, 2022. "Efficiency and transparency of Spanish football clubs: A non‐parametric approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 1850-1860, September.
    12. Fabíola Zambom-Ferraresi & Belén Iráizoz & Fernando Lera-López, 2019. "Are football managers as efficient as coaches? Performance analysis with and inputs in the Premier league," Applied Economics, Taylor & Francis Journals, vol. 51(3), pages 303-314, January.
    13. Kostas Kounetas, 2014. "Greek football clubs’ efficiency before and after Euro 2004 Victory: a bootstrap 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. 22(4), pages 623-645, December.
    14. Lucía Isabel García-Cebrián & Fabíola Zambom-Ferraresi & Fernando Lera-López, 2018. "Efficiency in European football teams using WindowDEA: analysis and evolution," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 67(9), pages 2126-2148, November.
    15. Manuel Espitia‐Escuer & Lucia Isabel Garcia‐Cebrian, 2020. "Efficiency of football teams from an organisation management perspective," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 321-338, April.
    16. 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.
    17. Joe Zhu, 2022. "DEA under big data: data enabled analytics and network data envelopment analysis," Annals of Operations Research, Springer, vol. 309(2), pages 761-783, February.
    18. Chih-Hai Yang & Hsuan-Yu Lin & Chiang-Ping Chen, 2014. "Measuring the efficiency of NBA teams: additive efficiency decomposition in two-stage DEA," Annals of Operations Research, Springer, vol. 217(1), pages 565-589, June.
    19. 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.
    20. Pinto, Claudio, 2020. "Fuzzy DEA models for sports data analysis: The evaluation of the relative performances of professional (virtual) football teams," MPRA Paper 103129, University Library of Munich, Germany.

    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:spr:operea:v:22:y:2022:i:3:d:10.1007_s12351-021-00650-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.