IDEAS home Printed from https://ideas.repec.org/a/men/journl/v9y2023i1p21-36.html
   My bibliography  Save this article

Does Better Sports Performance Generate Higher Revenues in the English Premier League? A Panel Data Approach

Author

Listed:
  • Marina Schloesser

    (Mendel University in Brno, Czech Republic)

  • Václav Adamec

    (Mendel University in Brno, Czech Republic)

Abstract

In this paper, we examined the relationship of sports performance and revenue generation in the English Premier League (EPL) to understand how performance on the field impacts financial performance of professional football clubs. Further, we verified if increased wage expenses help improve sports performance. Independent dynamic models were estimated by GMM on panel data including N = 28 EPL teams and on a reduced data set excluding the top six teams (N = 22), spanning from the 2008/2009 to 2018/2019 seasons (T = 11). The results of the GMM models confirmed that sports performance and revenue generation significantly correlate. Teams with better sports performance do generate higher revenues. Additionally, higher wage expenses result in better sports performance. A positive relationship of the variables in both hypotheses were established in both directions (full data). In all analyses of reduced data, the parameters of interest are nonsignificant. Dependencies exist due to the top teams.

Suggested Citation

  • Marina Schloesser & Václav Adamec, 2023. "Does Better Sports Performance Generate Higher Revenues in the English Premier League? A Panel Data Approach," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 9(1), pages 21-36.
    • Handle: RePEc:men:journl:v:9:y:2023:i:1:p:21-36
    DOI: 10.11118/ejobsat.2023.006
    as

    Download full text from publisher

    File URL: http://ejobsat.cz/doi/10.11118/ejobsat.2023.006.html
    Download Restriction: free of charge
    File URL: http://ejobsat.cz/doi/10.11118/ejobsat.2023.006.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.11118/ejobsat.2023.006?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. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Marc Rohde & Christoph Breuer, 2016. "Europe’s Elite Football: Financial Growth, Sporting Success, Transfer Investment, and Private Majority Investors," IJFS, MDPI, vol. 4(2), pages 1-20, June.
    3. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    4. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    5. Richard Blundell & Stephen Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    11. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    12. Yves Croissant & Giovanni Millo, 2018. "Panel Data Econometrics with R," Post-Print hal-01699532, HAL.
    13. Emilios C. C Galariotis & Christophe Germain & Constantin Zopounidis, 2017. "A combined methodology for the concurrent evaluation of the business, financial and sports performance of football clubs: the case of France," Post-Print hal-02879864, HAL.
    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. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    2. Hayakawa, Kazuhiko, 2019. "Alternative over-identifying restriction test in the GMM estimation of panel data models," Econometrics and Statistics, Elsevier, vol. 10(C), pages 71-95.
    3. Sebastian Kripfganz & Claudia Schwarz, 2019. "Estimation of linear dynamic panel data models with time‐invariant regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 526-546, June.
    4. Raouf Boucekkine & Rodolphe Desbordes & Hélène Latzer, 2009. "How do epidemics induce behavioral changes?," Journal of Economic Growth, Springer, vol. 14(3), pages 233-264, September.
    5. Gamze Öztürk DANIŞMAN, 2018. "Determinants of Bank Stability: A Financial Statement Analysis of Turkish Banks," Sosyoekonomi Journal, Sosyoekonomi Society, issue 26(38).
    6. Mohn, Klaus & Misund, Bård, 2009. "Investment and uncertainty in the international oil and gas industry," Energy Economics, Elsevier, vol. 31(2), pages 240-248, March.
    7. Arulampalam, Wiji & Devereux, Michael P. & Maffini, Giorgia, 2012. "The direct incidence of corporate income tax on wages," European Economic Review, Elsevier, vol. 56(6), pages 1038-1054.
    8. Vishal Jaunky, 2013. "Democracy and economic growth in Sub-Saharan Africa: a panel data approach," Empirical Economics, Springer, vol. 45(2), pages 987-1008, October.
    9. Emrah Kocak & Hayriye Hilal Baglitas, 2022. "The path to sustainable municipal solid waste management: Do human development, energy efficiency, and income inequality matter?," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(6), pages 1947-1962, December.
    10. Baharumshah, Ahmad Zubaidi & Slesman, Ly & Wohar, Mark E., 2016. "Inflation, inflation uncertainty, and economic growth in emerging and developing countries: Panel data evidence," Economic Systems, Elsevier, vol. 40(4), pages 638-657.
    11. Bertrand, Olivier & Zuniga, Pluvia, 2006. "R&D and M&A: Are cross-border M&A different? An investigation on OECD countries," International Journal of Industrial Organization, Elsevier, vol. 24(2), pages 401-423, March.
    12. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    13. Tadadjeu, Sosson & Njangang, Henri & Asongu, Simplice A. & Kamguia, Brice, 2023. "Natural resources, child mortality and governance quality in African countries," Resources Policy, Elsevier, vol. 83(C).
    14. Ronald MacDonald & Flávio Vieira, "undated". "A panel data investigation of real exchange rate misalignment and growth," Working Papers 2010_13, Business School - Economics, University of Glasgow.
    15. Claire Giordano, 2023. "Revisiting the real exchange rate misalignment‐economic growth nexus via the across‐sector misallocation channel," Review of International Economics, Wiley Blackwell, vol. 31(4), pages 1329-1384, September.
    16. Emilie Caldeira & Martial Foucault & Gregoire Rota-Graziosi, 2015. "Decentralization in Africa and the nature of local governments’ competition: evidence from Benin," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(6), pages 1048-1076, December.
    17. Fendel Tanja, 2016. "Migration and Regional Wage Disparities in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(1), pages 3-35, February.
    18. de Moraes, Claudio Oliveira & Cruz, Guilherme, 2023. "What do we know about the relationship between banks and income inequality? Empirical evidence for emerging and low-income countries," Journal of Economics and Business, Elsevier, vol. 123(C).
    19. León-González, Roberto & Montolio, Daniel, 2015. "Endogeneity and panel data in growth regressions: A Bayesian model averaging approach," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 23-39.
    20. Mohanty, Biswajit & Bhanumurthy, N. R. & Dastidar, Ananya Ghosh, 2017. "What explains Regional Imbalances in Infrastructure?: Evidence from Indian States," Working Papers 17/197, National Institute of Public Finance and Policy.

    More about this item

    Keywords

    revenue; sports performance; panel data; Generalized Method of Moments; wage expenses; football;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • Z23 - Other Special Topics - - Sports Economics - - - Finance

    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:men:journl:v:9:y:2023:i:1:p:21-36. 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: Ivo Andrle (email available below). General contact details of provider: https://edirc.repec.org/data/femencz.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.