Journals / Sosyoekonomi / 2020 / Cilt: 28 - Sayı: 43

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

Seçilmiş Avrupa Futbol Kulüplerinin Etkinliğinin Ölçülmesi: VZA ve Panel Tobit Modeli

Pages
153–174
Publication Date
2020-01-25
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

🎯
Objective & Hypothesis: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.
📊
Key Findings & Data: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.
💡
Conclusion & Impact: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.
🔬Design:Modeling & Simulation
📍Scope:2007 Verileri
⚙️Variables:Futbol · Teknik-Etkinlik · Veri Zarflama Analizi

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.

Özet

Bu çalışmanın amacı, Avrupa futboluna yön veren 10 Avrupa ülkesine ait 50 büyük futbol kulübünün sportif ve finansal verilerinin birleştirilerek performanslarının araştırılması ve kulüplerin performansını etkileyen faktörlerin incelenmesidir. Kulüplerin etkinliği iki aşamada araştırılmıştır. İlk aşamada kulüplerin teknik etkinlik skorları 2007/2008 - 2017/2018 sezonları arası veri zarflama analizi yardımıyla hesaplanmıştır. İkinci aşamada ise kulüplerin performans farklılıklarının arkasındaki nedenler rassal etki panel Tobit modeli kullanılarak araştırılmıştır. Bulgulara göre, kulüplerin kazanma oranları, altyapıdaki oyuncu sayısı ve ulusal ligin daha rekabetçi olması performansını olumlu yönde etkilerken, Avrupa kupalarına katılım, sezon içerisinde antrenör değişikliği yapılması takımların performansını olumsuz yönde etkilemektedir.

🔖

Cite This Article

KESKİN, H. İ., ÖNDES, H. (2020). Measuring the Efficiency of Selected European Football Clubs: DEA and Panel Tobit Model. Sosyoekonomi, Cilt: 28 - Sayı: 43, 153–174. https://ajindex.com/articles/139347

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (16)

  1. Akşar, T. & Kutlu, M. (2006),
  2. Futbol ekonomisi, İstanbul:
  3. Literatür Yayıncılık. Altan, M. S. (2010), “Türk Sigortacılık Sektöründe Etkinlik: Veri Zarflama Analizi Yöntemi İle Bir Uygulama”, Gazi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 12(1),185-204.
  4. Atkinson, Scott E. & Wilson, Paul W. (1995), "Comparing Mean Efficiency and Productivity Scores from Small Samples: A Bootstrap Methodology, The Journal of Productivity Analysis, 6(2), 132-152.
  5. Baltagi, B. (2008).
  6. Econometric Analysis Of Panel Data, Hoboken, NJ: John Wiley & Sons. Banker, R.D. & Charnes, A. & Cooper, W.W. (1984), “Models For The Estimation Of Technical And Scale İnefficiencies In Data Envelopment Analysis”, Management Science, 30, 1078-1092.
  7. Banks, S. (2002), Going Down: Football in crisis, London: Mainstream Publishing. Barros, C.P. & Leach, S. (2006), “Performance Evaluation Of The English Premier Football League With Data Envelopment Analysis”, Applied Economics, 38, 1449–1458.
  8. Barros, C. P. & Garcı´a-del-Barrio, P. (2008), “Efficiency Measurement Of The English Football Premier League With A Random Frontier Model, Economic Modelling, 25, 994-1002.
  9. Barros, C. P. & Rossi, G. (2014), “A Bayesian Stochastic Frontier Of Italian Football”, Applied Economics, 46, 2398–2407.
  10. Bülbül, S. & Akhisar, İ. (2005), “Türk Sigorta Şirketlerinin Etkinliğinin Veri Zarflama Analizi İle Araştırılması”, VII.Ulusal Ekonometri ve İstatistik Sempozyumu, 26-27.
  11. Charnes, A. & Cooper, W. W. (1962), “Programming With Linear Fractional Functionals”. Naval Research Logistics Quarterly, 9, 181-186.
  12. Charnes, A. & Cooper, W. W. & Rhodes, E. (1978), “Measuring The Efficiency Of Decision Making Units”, European Journal of Operation Research, 2, 429- 444. Charnes, A. & Cooper, W.W. & Lewin, A.Y. & Seiford, L.M. (1994), “Introduction and Basic DEA Models. Data Envelopment Analysis: Theory, Methodology and Applications, Charnes et al. Editors. Kluwer Academic Publishers. 3 – 47. Chilingerian, J.A. (1995), “Evaluating Physician Efficiency In Hospitals: A Multivariate Analysis Of Best Practices”, European Journal of Operational Research, 80, 548–574.
  13. Coelli, T. J. (1996). A Guide To DEAP Version 2.1: A Data Envelopment Analysis (Computer)Program (CEPA Working Paper 96/8), Armidale, New South Wales, Australia: University of New England, Department of Econometrics. Deloitte (2007),
  14. Football Money League, The Reign in Spain,, 31.01.2019
  15. Deloitte (2008),
  16. Football Money League, Gate Receipts,,12.08.2018. Deloitte (2