IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v10y2022i12p322-d1003164.html
   My bibliography  Save this article

An Examination of Ticket Pricing in a Multidisciplinary Sports Mega-Event

Author

Listed:
  • Francesc Solanellas

    (National Institute of Physical Education of Catalonia (INEFC), University of Barcelona (UB), 08038 Barcelona, Spain
    Grup d’Investigació Social i Educativa de l’Activitat Física i de l’Esport (GISEAFE), INEFC, University of Barcelona (UB), 08038 Barcelona, Spain)

  • Joshua Muñoz

    (National Institute of Physical Education of Catalonia (INEFC), University of Barcelona (UB), 08038 Barcelona, Spain
    Grup d’Investigació Social i Educativa de l’Activitat Física i de l’Esport (GISEAFE), INEFC, University of Barcelona (UB), 08038 Barcelona, Spain)

  • Josep Petchamé

    (Department of Engineering, Universitat Ramon Llull (URL), 08022 Barcelona, Spain)

Abstract

Some studies have examined ticket sales in the context of a sporting event. However, only a few have investigated the determinants of ticket prices, and, to date, none have done so in the context of a multidisciplinary sports mega-event. This study examines this complex paradigm through the case of the World Swimming Championships held in Barcelona, Spain. The particular focus of this study was whether, in such a framework, the same model of analysis of price determinants could be applied equally to all the disciplines that comprise the sporting mega-event. The applied model was significant, explaining the ranges of variation of the ticket prices in the different sport disciplines. The main hypothesis was rejected, which suggests that when examining price determinants in multidisciplinary sport mega-events, it will be convenient to implement a different model for each sporting discipline (aquatic, in the case at hand). These results can help professionals better understand consumer fluctuations throughout the ticket sales process in such an environment, in order to appropriately price tickets. This, in turn, will lead to maximizing revenue, as well as attendance, at sporting events.

Suggested Citation

  • Francesc Solanellas & Joshua Muñoz & Josep Petchamé, 2022. "An Examination of Ticket Pricing in a Multidisciplinary Sports Mega-Event," Economies, MDPI, vol. 10(12), pages 1-21, December.
  • Handle: RePEc:gam:jecomi:v:10:y:2022:i:12:p:322-:d:1003164
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/10/12/322/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7099/10/12/322/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ladany, Shaul P. & Arbel, Avner, 1991. "Optimal cruise-liner passenger cabin pricing policy," European Journal of Operational Research, Elsevier, vol. 55(2), pages 136-147, November.
    2. Jeffery Borland, 2003. "Demand for Sport," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 19(4), pages 478-502, Winter.
    3. Jean-Marc Falter & Christophe Perignon, 2000. "Demand for football and intramatch winning probability: an essay on the glorious uncertainty of sports," Applied Economics, Taylor & Francis Journals, vol. 32(13), pages 1757-1765.
    4. Kahneman, Daniel & Knetsch, Jack L & Thaler, Richard, 1986. "Fairness as a Constraint on Profit Seeking: Entitlements in the Market," American Economic Review, American Economic Association, vol. 76(4), pages 728-741, September.
    5. Andrew Sweeting, 2012. "Dynamic Pricing Behavior in Perishable Goods Markets: Evidence from Secondary Markets for Major League Baseball Tickets," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1133-1172.
    6. Marvin Rothstein, 1971. "An Airline Overbooking Model," Transportation Science, INFORMS, vol. 5(2), pages 180-192, May.
    7. Olga Gorodetskaya & Yana Gobareva & Mikhail Koroteev, 2021. "A Machine Learning Pipeline for Forecasting Time Series in the Banking Sector," Economies, MDPI, vol. 9(4), pages 1-15, December.
    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. Drayer, Joris & Shapiro, Stephen L., 2011. "An examination into the factors that influence consumers’ perceptions of value," Sport Management Review, Elsevier, vol. 14(4), pages 389-398.
    2. Dorian Owen, 2014. "Measurement of competitive balance and uncertainty of outcome," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 3, pages 41-59, Edward Elgar Publishing.
    3. Stefan Szymanski, 2021. "On the Incidence of an Ad Valorem Tax: The Adoption of VAT in the UK and Cost Pass Through by English Football Clubs," De Economist, Springer, vol. 169(1), pages 37-61, February.
    4. Marco Di Domizio & Raul Caruso, 2015. "Hooliganism and Demand for Football in Italy: Attendance and Counterviolence Policy Evaluation," German Economic Review, Verein für Socialpolitik, vol. 16(2), pages 123-137, May.
    5. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2017. "Game Outcome Uncertainty and the Demand for International Football Games: Evidence From the German TV Market," Journal of Media Economics, Taylor & Francis Journals, vol. 30(1), pages 31-45, January.
    6. Besters, Lucas, 2018. "Economics of professional football," Other publications TiSEM d9e6b9b7-a17b-4665-9cca-1, Tilburg University, School of Economics and Management.
    7. Ferda Halicioglu, 2005. "Can We Predict The Outcome Of The International Football Tournaments : The Case Of Euro 2000?," Microeconomics 0503008, University Library of Munich, Germany.
    8. Joris Drayer & Daniel A. Rascher & Chad D. McEvoy, 2012. "An examination of underlying consumer demand and sport pricing using secondary market data," Sport Management Review, Taylor & Francis Journals, vol. 15(4), pages 448-460, October.
    9. Marcos Almeida & Ricardo Coelho & Denise Oliveira & Altair Camargo & Pedro Savioli, 2020. "Sales-based Brand Equity as a Performance Driver in ‘The Country of Soccer," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 24(2), pages 134-150.
    10. Schreyer, Dominik & Schmidt, Sascha L. & Torgler, Benno, 2016. "Against all odds? Exploring the role of game outcome uncertainty in season ticket holders’ stadium attendance demand," Journal of Economic Psychology, Elsevier, vol. 56(C), pages 192-217.
    11. Stephan Nuesch & Egon Franck, 2009. "The Role of Patriotism in Explaining the TV Audience of National Team Games—Evidence From Four International Tournaments," Journal of Media Economics, Taylor & Francis Journals, vol. 22(1), pages 6-19.
    12. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2019. "Football Spectator No-Show Behavior," Journal of Sports Economics, , vol. 20(4), pages 580-602, May.
    13. Ferda HALICIOGLU, 2005. "Forecasting the Professional Team Sporting Events: Evidence from Euro 2000 and 2004 Football Tournaments," Industrial Organization 0508001, University Library of Munich, Germany.
    14. Kevin Alavy & Alison Gaskell & Stephanie Leach & Stefan Szymanski, 2010. "On the Edge of Your Seat: Demand for Football on Television and the Uncertainty of Outcome Hypothesis," International Journal of Sport Finance, Fitness Information Technology, vol. 5(2), pages 75-95, May.
    15. Stephan Lenor & Liam J. A. Lenten & Jordi McKenzie, 2016. "Rivalry Effects and Unbalanced Schedule Optimisation in the Australian Football League," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 49(1), pages 43-69, August.
    16. Dominik Schreyer & Benno Torgler, 2018. "On the Role of Race Outcome Uncertainty in the TV Demand for Formula 1 Grands Prix," Journal of Sports Economics, , vol. 19(2), pages 211-229, February.
    17. Rottmann, Horst & Seitz, Franz, 2006. "Warum gehen die Leute in die Fußballstadien? Eine empirische Analyse der Fußball-Bundesliga," Weidener Diskussionspapiere 1, University of Applied Sciences Amberg-Weiden (OTH).
    18. Morten Kringstad & Tor-Eirik Olsen & Tor Georg Jakobsen & Rasmus K. Storm & Nikolaj Schelde, 2021. "Match Experience at the Danish Women’s Soccer National A-Team Matches: An Explorative Study," Sustainability, MDPI, vol. 13(5), pages 1-20, March.
    19. Tim Pawlowski, 2013. "Testing the Uncertainty of Outcome Hypothesis in European Professional Football," Journal of Sports Economics, , vol. 14(4), pages 341-367, August.
    20. Arne Feddersen & Wolfgang Maennig, 2009. "Arenas Versus Multifunctional Stadiums," Journal of Sports Economics, , vol. 10(2), pages 180-191, April.

    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:gam:jecomi:v:10:y:2022:i:12:p:322-:d:1003164. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.