A Diagnostic Analytics-Based Assessment of Sponsorship Challenges at the 2013 Formula 1 Indian Grand Prix in Greater Noida, India

Author

Mora Joshit, M. Raja Pavan Kumar


Abstract

 The Formula 1 Indian Grand Prix took place at the Buddh International Circuit in Greater Noida from 2011 to 2013 before being discontinued. This study applies a diagnostic analytics method to examine, which sponsorship, financial, and regulatory challenges respondents associate with the 2013 event, their views on why it ended, and the significance of Formula 1 being classified as entertainment rather than a sport. A quantitative, descriptive, and diagnostic survey was conducted with 95 respondents (convenience sample) and analysed using percentages, Wilson confidence intervals, chi-square, and Fisher tests, an exact binomial test, and Spearman correlation, with Holm adjustment. Taxation and regulatory issues were most often cited as the main sponsorship challenge (58. 9%; = 90. 42, p. < 0. 001) and as the leading reason for discontinuation (64. 5%; = 44. 32, p < 0. 001); together with hosting costs, these factors account for 90. 3% of responses for the race's discontinuation. A further 83. 2% believed that the entertainment classification raised the organisers' financial burden, far more than endorsed any market explanation (13. 8%21. 3%). Respondents who blamed taxation were over five times as likely to believe the race could have been sustained (OR = 5. 2, p = 0. 002). Men were more likely than women to name taxation first (74. 6% vs 33. 3%), greater media literacy was positively related to interest in a return (r = 0. 36, p < 0. 001), and those familiar with diagnostic analytics were more likely to endorse its value (95. 8% vs 58. 3%). The race was That means undone, in respondents' view, less by weak marketing than by an unstable fiscal and regulatory environment.



Keywords

Formula 1; Indian Grand Prix; sponsorship challenges; entertainment tax; sport classification; discontinuation; diagnostic analytics; Buddh International Circuit.



Full Text:

Download Paper PDF


References


  • Al Jazeera. (2013, November 12). Indian Formula One: Racing for survival? Https://www.aljazeera.com/amp/features/2013/11/12/indian-formula-one-racing-for-survival.
  • Albano, B. & Tyler, B. D. (2021). Analysing International sponsorship exchange price premiums: What Causes Marketing Costs in Formula 1.
  • Cobbs, J. B. (2022). The sponsorship performance cycle: Longitudinal evidence of sponsors' contribution to Formula One team achievement.
  • Cohen, J. (1988). Statistical power analysis for the behavioural sciences (2nd edition). Lawrence Erlbaum Associates.
  • Cramr, H. (1946). Mathematical methods of statistics. Princeton University Press.
  • Fisher, R. A. (1922). On the interpretation of from contingency tables, and the calculation of P. Journal of the Royal Statistical Society, 85(1), 8794.
  • Hämäläinen V. (2025). The Cost of F1 sponsoring: does sponsoring an F1 Team Generate Stock Returns?
  • Holm, S. (1979). A sequentially rejective method for multiple hypothesis testing is presented. Scandinavian Journal of Statistics, 6(2), 6570.
  • Jensen, J. A. (2024). Analysing international brand strategy: The sponsorship performance cycle in Formula One racing.
  • Jensen, J. A. & Chan, K. (2017). Prioritizing sponsorship resources in Formula One racing: a longitudinal study.
  • Khan, U. S. (2026). Motorsport and the city: a research on urban integration of formula 1 circuits and India Buddh International Circuit.
  • Kothari, C. R. (2004). Research way: Methods and techniques (2nd revised edition). New Age International Publishers.
  • Maddox, C. B. (2023). Stray dogs and luxury taxes: The fate of the Indian Grand Prix.
  • Pearson, K. (1900). On the criterion that a given system of deviations from the probable with a correlated system of variables can reasonably be considered to have resulted from random sampling. Philosophical Magazine, Series 5, 50(302), 157175.
  • Singh, N. (2013). Changing the game in sports marketing.
  • Spearman, C. (1904). The proof and measurement of association between two things. American Journal of Psychology, 15(1), 72101.
  • Wilson, E. B. (1927). Probable inference, the law of succession, and statistical inference. Journal of the American Statistical Association, 22(158), 209212.

 

Share your valuable work from Social Media Buttons