IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3302-d1064954.html
   My bibliography  Save this article

Potential Baseball Fan Engagement: The Determinants of a New Television Audience in the Chinese Professional Baseball League during the COVID-19 Pandemic

Author

Listed:
  • Jyh-How Huang

    (Department of Sport Information and Communication, National Taiwan University of Sport, Taichung 404401, Taiwan)

  • Chung-Yi Lu

    (Department of Industrial Economics, Tamkang University, New Taipei 251301, Taiwan)

  • Yu-Chia Hsu

    (Department of Sport Information and Communication, National Taiwan University of Sport, Taichung 404401, Taiwan)

Abstract

The COVID-19 pandemic has led to a dramatic increase in baseball viewership, thereby providing an opportunity to comprehensively explore the determinants of the new audience. To this end, we analyze the preferences of the Taiwanese audience in 2019 and 2020, both before and after the COVID-19 outbreak, through TV ratings based on the effect of outcome uncertainty, tournament factors, consumer availability, and game quality. The empirical findings show that the behavior of the small-scale Chinese Professional Baseball League (CPBL) sports television viewing market differs from that of large-scale markets such as Major League Baseball. Additionally, the effect of the outcome uncertainty of the game is inconsistent before and after the COVID-19 pandemic. New audiences, unlike existing audiences, have been affected by team quality and consumer availability that are statistically significant, but tournament factors are not significant. This study provides the first empirical analysis of the factors driving TV ratings of CPBL games as well as the impact before and after the COVID-19 outbreak as a contribution to filling the gap in sports communication research. The observations can be used by strategic departments of professional teams for their marketing target, to identify potential fans, and to direct their marketing resources towards sustaining or even growing during the pandemic events.

Suggested Citation

  • Jyh-How Huang & Chung-Yi Lu & Yu-Chia Hsu, 2023. "Potential Baseball Fan Engagement: The Determinants of a New Television Audience in the Chinese Professional Baseball League during the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3302-:d:1064954
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3302/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/4/3302/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paul, Rodney J. & Weinbach, Andrew P., 2007. "The uncertainty of outcome and scoring effects on Nielsen ratings for Monday Night Football," Journal of Economics and Business, Elsevier, vol. 59(3), pages 199-211.
    2. Simon Rottenberg, 1956. "The Baseball Players' Labor Market," Journal of Political Economy, University of Chicago Press, vol. 64(3), pages 242-242.
    3. Sung, Hojun & Mills, Brian M. & Tainsky, Scott, 2017. "From schadenfreude to mitfreude? Estimating viewership loss and rivalrous relationships in otherwise neutral markets," Sport Management Review, Elsevier, vol. 20(2), pages 159-169.
    4. Kevin Mongeon & Jason Winfree, 2012. "Comparison of television and gate demand in the National Basketball Association," Sport Management Review, Taylor & Francis Journals, vol. 15(1), pages 72-79, January.
    5. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    6. Brown, Katie M. & Salaga, Steven, 2018. "NCAA football television viewership: Product quality and consumer preference relative to market expectations," Sport Management Review, Elsevier, vol. 21(4), pages 377-390.
    7. Salaga, Steven & Tainsky, Scott, 2015. "Betting lines and college football television ratings," Economics Letters, Elsevier, vol. 132(C), pages 112-116.
    8. Katie M. Brown & Steven Salaga, 2018. "NCAA football television viewership: Product quality and consumer preference relative to market expectations," Sport Management Review, Taylor & Francis Journals, vol. 21(4), pages 377-390, October.
    9. Brian M. Mills & Michael Mondello & Scott Tainsky, 2016. "Competition in shared markets and Major League Baseball broadcast viewership," Applied Economics, Taylor & Francis Journals, vol. 48(32), pages 3020-3032, July.
    10. Seung-Man Lee, 2021. "Traditional and Revised Importance-Performance Analysis of Viewer Perceptions Regarding Korea Baseball Organization Broadcasting," Sustainability, MDPI, vol. 13(21), pages 1-12, October.
    11. Babatunde Buraimo & Rob Simmons, 2015. "Uncertainty of Outcome or Star Quality? Television Audience Demand for English Premier League Football," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 22(3), pages 449-469, November.
    12. Hua Gong & Nicholas M. Watanabe & Brian P. Soebbing & Matthew T. Brown & Mark S. Nagel, 2022. "Exploring tanking strategies in the NBA: an empirical analysis of resting healthy players," Sport Management Review, Taylor & Francis Journals, vol. 25(3), pages 546-566, May.
    13. Scott Tainsky & Jie Xu & Brian M. Mills & Steven Salaga, 2016. "How Success and Uncertainty Compel Interest in Related Goods: Playoff Probability and Out-of-Market Television Viewership in the National Football League," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 48(1), pages 29-43, February.
    14. Jigyu Chung & Young Hoon Lee & Joon-Ho Kang, 2016. "Ex Ante and Ex Post Expectations of Outcome Uncertainty and Baseball Television Viewership," Journal of Sports Economics, , vol. 17(8), pages 790-812, December.
    15. Scott Tainsky & Jie Xu & Brian Mills & Steven Salaga, 2016. "How Success and Uncertainty Compel Interest in Related Goods: Playoff Probability and Out-of-Market Television Viewership in the National Football League," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 48(1), pages 29-43, February.
    16. Michael A. Leeds & Sumi Sakata, 2012. "Take Me Out to the Yakyushiai," Journal of Sports Economics, , vol. 13(1), pages 34-52, February.
    17. Adam Cox, 2018. "Spectator Demand, Uncertainty of Results, and Public Interest," Journal of Sports Economics, , vol. 19(1), pages 3-30, January.
    18. 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.
    19. Wen-jhan Jane, 2015. "Customer Discrimination and Outcome Uncertainty in the World Baseball Classic: The Case of the Taiwanese Television Audience," Sports Economics, Management, and Policy, in: Young Hoon Lee & Rodney Fort (ed.), The Sports Business in The Pacific Rim, edition 127, pages 103-121, Springer.
    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. Raul Caruso & Francesco Addesa & Marco Di Domizio, 2019. "The Determinants of the TV Demand for Soccer: Empirical Evidence on Italian Serie A for the Period 2008-2015," Journal of Sports Economics, , vol. 20(1), pages 25-49, January.
    2. Georgios Nalbantis & Tim Pawlowski & Dominik Schreyer, 2023. "Substitution Effects and the Transnational Demand for European Soccer Telecasts," Journal of Sports Economics, , vol. 24(4), pages 407-442, May.
    3. Dominik Schreyer & Daniel Däuper, 2018. "Determinants of spectator no-show behaviour: first empirical evidence from the German Bundesliga," Applied Economics Letters, Taylor & Francis Journals, vol. 25(21), pages 1475-1480, December.
    4. Thadeu Gasparetto & Angel Barajas, 2020. "Management in a complex scenario: World Cup, alternative stadiums and demand for tickets," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 1071-1083, September.
    5. Brown, Katie M. & Salaga, Steven, 2018. "NCAA football television viewership: Product quality and consumer preference relative to market expectations," Sport Management Review, Elsevier, vol. 21(4), pages 377-390.
    6. Uribe, Rodrigo & Buzeta, Cristian & Manzur, Enrique & Alvarez, Isabel, 2021. "Determinants of football TV audience: The straight and ancillary effects of the presence of the local team on the FIFA world cup," Journal of Business Research, Elsevier, vol. 127(C), pages 454-463.
    7. Tim Wallrafen & Georgios Nalbantis & Tim Pawlowski, 2022. "Competition and Fan Substitution Between Professional Sports Leagues," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 61(1), pages 21-43, August.
    8. Schreyer & Torgler Benno & Schmidt Sascha L., 2018. "Game Outcome Uncertainty and Television Audience Demand: New Evidence from German Football," German Economic Review, De Gruyter, vol. 19(2), pages 140-161, May.
    9. 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.
    10. Taeyeon Oh & Seomgyun Lee & Hayley Jang, 2023. "Outcome Uncertainty and ESports Viewership: The Case of Overwatch League," Journal of Sports Economics, , vol. 24(8), pages 971-992, December.
    11. Daam Van Reeth & Nikita Osokin, 2020. "The Impact of Hosting the 2018 FIFA World Cup on Differences in TV Viewership Between Seasoned Football Fans and Occasional Watchers of Football Games in Russia," Journal of Sports Economics, , vol. 21(3), pages 256-280, April.
    12. 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.
    13. Anthony Macedo & Marta Ferreira Dias & Paulo Reis Mourão, 2023. "European Men's Club Football in the Eyes of Consumers: The Determinants of Television Broadcast Demand," Journal of Sports Economics, , vol. 24(5), pages 579-623, June.
    14. Daniel Read & Aaron C.T. Smith & James Skinner, 2021. "A Comparative Analysis of Competitive Balance Between a Closed and an Open League in Rugby League," Journal of Sports Economics, , vol. 22(8), pages 871-892, December.
    15. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2018. "Game Outcome Uncertainty in the English Premier League," Journal of Sports Economics, , vol. 19(5), pages 625-644, June.
    16. Kunz-Kaltenhäuser, Philipp, 2023. "Sports teams' home market size in the digital age: Analyzing social media drawing power," Ilmenau Economics Discussion Papers 175, Ilmenau University of Technology, Institute of Economics.
    17. Dominik Schreyer, 2019. "Football spectator no-show behaviour in the German Bundesliga," Applied Economics, Taylor & Francis Journals, vol. 51(45), pages 4882-4901, September.
    18. Babatunde Buraimo & David Forrest & Ian G. McHale & J.D. Tena, 2020. "Armchair Fans: New Insights Into The Demand For Televised Soccer," Working Papers 202020, University of Liverpool, Department of Economics.
    19. Humphreys, Brad R & Pérez, Levi, 2019. "Loss aversion, upset preference, and sports television viewing audience size," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 78(C), pages 61-67.
    20. Tainsky, Scott & Kerwin, Shannon & Xu, Jie & Zhou, Yilun, 2014. "Will the real fans please remain seated? Gender and television ratings for pre-game and game broadcasts," Sport Management Review, Elsevier, vol. 17(2), pages 190-204.

    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:jsusta:v:15:y:2023:i:4:p:3302-:d:1064954. 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.