IJSF Issue 6:3

Contents for IJSF Issue 6:3

Entire issue of IJSF 6:3
Authors: Marijke Taks, Stefan Kesenne, Laurence Chalip, Christine Green, Scott Martyn, Fernando Lera-López, Manuel Rapún-Gárate, María José Suárez, José Manuel Sánchez Santos, Pablo Castellanos García, Cristina Muñiz, Plácido Rodríguez, María J. Suárez, Daniel Larson, Joel Maxcy
Abstract:This is the entire issue in PDF format that you can download

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Economic Impact Analysis versus Cost Benefit Analysis: The Case of a Medium-Sized Sport Event, pp. 187-203
Authors: Marijke Taks, Stefan Kesenne, Laurence Chalip, Christine Green, and Scott Martyn
Abstract:This paper empirically illustrates the difference between a standard economic impact analysis (EIA) and a cost-benefit analysis (CBA). The EIA was conducted using an existing (input-output) I-O model (STEAM). The benefit side of the CBA included non-local visitor spending, the revenue of the local organizing committee (LOC), the consumer surplus, and public good value of the sport event for the local residents. The cost side of the CBA was estimated based on the opportunity costs related to the construction of the stadium (including labor costs and the cost of borrowing), imports, and ticket sales to locals. The EIA indicated that the 2005 Pan-American Junior Athletic Championships generated a net increase in economic activity in the city of $5.6 million. The CBA showed a negative net benefit of $2.4 million. Both methods presented challenges and limitations, but CBA has the distinct advantage that it identifies the net benefits associated with hosting a sport event.

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Determinants of Individual Consumption on Sports Attendance in Spain, pp. 204-221
Authors: Fernando Lera-López, Manuel Rapún-Gárate, and María José Suárez
Abstract:This paper aims to contribute to the knowledge regarding individual consumption on sports attendance—a subject that has been rarely analyzed in the economic literature due to the lack of appropriate databases. Specifically, we analyze the determinants of sports attendance consumption using Spanish survey data, assuming that the consumption decision is derived from the attendance decision. In the empirical analysis, we estimate the consumption equation in reduced form, applying a Tobit model with selectivity—a special case of double-hurdle models. The data for this study came from a Spanish survey, with the financial support of the Spanish High Council for Sport, carried out in 2007 on a sample of 640 adults. This survey contained detailed information about sports attendance, including associated expenditure data, at amateur and professional sporting events. The results reveal a strong correlation between attendance and spending, and they demonstrate the role of household income and demographic variables, such as gender and educational level, in explaining passive sports consumption.

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A Bibliometric Analysis of Sport Economics Research, pp. 222-244
Authors: José Manuel Sánchez Santos and Pablo Castellanos García
Abstract:In this paper, we carry out a bibliometric study of sports economics research indexed in the Social Sciences Citation Index (SSCI) database from 1956 to 2009. Quantitative evidence provided by some standard bibliometric indicators supports the idea that sports economics can be considered as a successful and fast-growing area. The statistical analysis of publications’ counts allows us to identify the authors, journals, and countries that have contributed in a decisive way to the progress of sports economics research. Furthermore, most recent authorship and citation concentration trends also reveal an advanced process of consolidation of this research field. In addition to journals specializing in sports—which, mainly in recent years, have become significant channels for publishing sports economics research—articles published in general journals maintain a significant relative weight within the total output. This reveals that the interest of research on sports economics goes beyond this specific field.

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The Allocation of Time to Sports and Cultural Activities: An Analysis of Individual Decisions, pp. 245-264
Authors: Cristina Muñiz, Plácido Rodríguez, and María J. Suárez
Abstract:Participation in sports and participation in cultural activities are usually considered separately in economic empirical studies. Because both of these activities are forms of leisure, this paper analyzes the determination of their consumption as joint and related decisions. Our theoretical framework is the neoclassical theory of the allocation of time. Our empirical analysis begins with a Constant Elasticity Substitution (CES) utility function, which we use to estimate the decision to participate in sports and cultural activities in the first stage. Conditional on the results of this stage, we then estimate the amount of time allocated to these activities. The data come from the Time Use Survey implemented by the National Statistics Office (INE) in 2002-2003. In this survey, the time allocated to sports and cultural activities in a single day is collected for each individual in detail. The results reveal a complementary relationship between the two activities and suggest that males and females exhibit different behaviors.

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Why the Master? Human Capital Development for Practicing U.S. Cycling Coaches, pp. 265-280
Authors: Daniel Larson and Joel Maxcy
Abstract:The economic structure of the industry of cycling coaches has yet to be the subject of any apparent published inquiry. This study describes the basic characteristics of practicing cycling coaches and presents economic models of the determinants of commercial success for individual coaches. Data were collected through an independent survey of current and former U.S.A. Cycling (USAC) coaches in 2010 (N = 386). Results of ordinary least squares and negative-binomial regression models suggest that coaching and competitive experience are associated with larger clienteles, but formal human capital investments do not generally add to a coach’s ability to garner more clients. Additionally, the study also explored the effects of reputation and experiential learning by using three subgroups of sport levels for dependent variables (i.e., recreational, developmental, and ProAm). These client groupings displayed different patterns of associated coach characteristics.

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