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The Economics of Motorsports

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Abstract

This book, the first study of its kind, examines the economics behind motorsports, in particular Formula One. Chapters discuss the costs involved in Formula racing and how they are borne by teams, promoters and racers. The book also looks at how society, the public and the private sectors stand to benefit economically from the motorsport industry. Other issues like the economics of TV rights, sponsorship and sustainability are also addressed, again for the first time in an economics book. Moving beyond the economics of what happens off the track, the book also undertakes a serious examination of what goes in to making a winning team and what having a winning racer can do for a team’s fortunes. Mourão’s highly relevant and contemporary book also looks at how motorsport teams confront the challenges of the modern sporting world, including the changing dynamics of sports media and considers the future of Formula 1 as motorsports evolve.

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... None of these papers study learning curves in F1. One notable exception is the work of Mourão (2017), who found that own prior success increases the probability of winning a race. However, Mourão (2017) did not study learning from teammates' success, own failures, or teammates' failures. ...
... In F1, we find that win probability follows an inverted U-shaped function of racing experience. Mourão (2017) found that a win in the previous F1 race, as well as prior podiums on the same track, increased win probability. We find that F1 drivers learn from all prior wins (on all tracks) to increase win probability. ...
... For example, while leading a race in the closing stages of a race, drivers can draw from all prior win experiences such as the race tactics described by Lauda (1977). Furthermore, Mourão (2017) found that the percent of team podiums per start did not affect win probability. Percent of team podiums incorporates all drivers who have driven for the team, including all of the drivers in the past who did not overlap with the focal driver. ...
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Organizations can learn from prior successes and failures to improve organizational performance. Few learning-curve studies have investigated this phenomenon at the individual level. A notable exception found that surgeons learn from their own success and others’ failure. Success in surgery is common and individually independent from other surgeries. We study learning from success and failure in a context where success is rare and competitive: Formula One (F1) racing. Only one driver will win a race, preventing the other competitors from winning. Even severe failures causing drivers to abandon the race are common. We investigate two types of abandonments: car failures and driver failures. Our data set covers F1 from the start of F1 in 1950 through 2017, yielding 21,487 driver-race observations. We find that win probability follows an inverted U-shaped function of racing experience. We also find that drivers learn from their own success, teammates’ success, as well as own car failures. However, drivers do not learn from their own driver failures. A teammate’s win increases the probability of winning the next race by 1.8%. An own car failure increases the probability of winning the next race by 1.9%. We use two characteristics of success, frequency and competitiveness, to define a spectrum of organizational settings. Placement of our F1 findings and the surgery findings on this spectrum reveals when managers can expect benefits from their own versus others’ success and failure. This paper was accepted by Charles Corbett, operations management.
... F1 is an interesting case because of its commercial appeal (Mourâo, 2017) and large international consumer interest. The concept of a grand prix race dates back to 1894, 1 with F1 adopting its current format as a world championship series in 1950 with races being run in seven different countries: Britain, Monaco, the United States, Switzerland, France, Belgium and Italy (Jenkins, Pasternak, & West, 2016). ...
... 4 Figures such as these, indicating great economic stimulus, have often prompted public authorities to subsidize F1. As pointed out by the international financial magazine Forbes, all current F1 races except the British Grand Prix receive substantial public funding (Jenkins et al., 2016;Mourâo, 2017). 5 For example, the establishment of the Yas Marina F1 circuit in Abu Dhabi, United Arab Emirates (UAE), in 2009 was part of a deliberate effort to turn the city into a global sport and major events destination (Oxford Business Group, 2016). ...
... However, and as mentioned in the introduction, hosting events such as the Olympics, the World Cup and European Football Championship usually demand the use of taxpayers' money to yield the benefits they promise (Baade & Matheson, 2000). Public funds are therefore often used to construct facilities and other infrastructure, or simply to acquire the hosting rights to these events (Mourâo, 2017). As this public spending is often substantial (Flyvbjerg & Stewart, 2016), and public budgets are scarce by definition, scrutinizing the ambition of sport event legacies has become imperative to the point of being a public concern (Crompton, 1995). ...
Article
The tangible effects of hosting major sporting events have been thoroughly examined in recent years. The consensus among scholars is that the effects on tourism, inbound foreign investments and gross domestic product (GDP) from hosting, for example, the Olympic Games or the football World Cup are absent. Further, only a few studies have been conducted on one of the most commercially successful (major) sporting events: Formula 1 motor racing. This paper applies regression models to test the effects on GDP, employment and tourism in European regions that have hosted Formula 1 grand prix from 1991 to 2017. The output from the models suggests that hosting Formula 1 races does not produce positive effects.
... This issue could apply to F1, as teams' struggles to keep up with innovation might contribute to the decline in competitive balance over time (Budzinski & Feddersen, 2020). Given the potentially positive relationship between F1 audiences and outcome uncertainty, this could help explain the decrease in TV audiences (Mourão, 2017;Sylt, 2018). However, it is important to recognize the complexity of the relationship between outcome uncertainty and F1 spectatorship/attendance. ...
... As promessas desses governantes podem ser facilmente contestadas e criticadas, alegando-se que tais recursos poderiam ser melhor aplicados se fossem utilizados para outras finalidades, tais como investimento em saúde ou educação (Fairley et al., 2011). E ainda, tais promessas não representam a opinião pública daquela comunidade, a qual, em muitos casos, nem ao menos é consultada (Mourão, 2017). Conforme apontam Coakley & Souza (2013), normalmente os maiores beneficiários de megaeventos esportivos são aqueles estrategicamente bem informados e posicionados para tirar vantagens destes eventos (ex. ...
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