The Importance of Sports Participation in sports is extremely important, and should be encouraged much more. Children and young people in particular need to do sport so that they develop good habits that they can continue into adulthood. The main benefits of sport are improved health and fitness, and the development of social and communication skills. With more than a third of adults in the USA being classed as obese, and many more being overweight, it has never been more important to participate in sports.
Some studies have shown that amateur sporting events can return significant economic benefits to host communities. Because of the perceived positive impacts such programs can have on local economies, sports tourism bundled as a multi-event annual program is thought by some to be an effective tool for economic stimulation in small cities.
Yet, how do we measure to see whether this assumption is true? Because community sports tourism programs commonly span numerous events and event types each year, estimating the annual economic impact using traditional event-specific surveying and local economic multiplier modeling is expensive—particularly for small communities.
This article outlines an alternative method communities can use to estimate the economic impact of annual sports tourism programs using existing event studies alongside relevant free economic data that is readily available. Measuring the economic impact of a single event is quite different from measuring the annual economic impact of a comprehensive sports tourism program spanning numerous event types located at various places and times throughout the year, the latter being considerably more complex and challenging.
Traditionally, visitor spending patterns are calculated event-by-event, using surveys of event attendees. Thus, estimating the total economic impact of an entire annual sports tourism program with dozens of sporting events using surveys would become expensive.
Beyond that, the need for an economic multiplier model arises. In fact, for small communities, conducting event surveys and hiring economists is often financially infeasible.
Absent costly event-specific data and an economic model, community planners currently have no clear method of estimating the economic impact of an annual multi-event sports tourism program.
Currently, the literature on economic impact studies focuses on survey approaches for specific events, rather than on estimating the economic impact of annual sports tourism programs, which community leaders need.
Here, we offer a procedure for estimating economic impact which differs from the traditional, relatively labor-intensive models in two ways: Our procedure allows community leaders to estimate the economic impact of an annual sports tourism program comprising dozens of events and several event types, rather than an individual event.
Our procedure requires neither event-specific surveys nor economic models, providing community leaders a relatively cost-effective way to determine the impact of their entire annual program. Economic Impact Economic impact analyses attempt to answer the questions of how many external dollars enter a host community for a given event, and how much the new money benefits members of the host community.
This study simplifies the process by detailing a procedure using specific economic data, whereby users can effectively deal with imperfect information yet produce reasonable estimates of economic impact. Required Inputs The first required input is the number of tourists.
Estimating the number of tourists requires finding or calculating not only estimates of total event attendees, but also an estimate of the percentage of nonlocals attending the event. Including only attendees from outlying regions is critical because local spending cannot be considered new spending in the community.
For this procedure, prior surveys of similar events also held in small or mid-sized cities will reflect a reasonable estimation of the percentage of nonlocals in attendance. The second formula input is average spending per visitor.
Finally, the appropriate multiplier and capture rate are needed to translate total spending to the measure of final demand. Afterward, the result is local final demand, the net monetary infusion to the local economy as a result of the initial tourist direct spending over a specified period of time.
This article walks through the details of the analysis, while results are presented for all three years. To calculate the economic impact, total nonlocal attendance, average daily spending, multipliers, and capture rate were needed.
Starting with primary data from the events, we estimated the required inputs using methods described in the economic impact literature, as follows: A case study in sustainable tourism.
Sixteen of these events were similar to those held in Columbus in This study reported the proportions of nonlocals and locals participating in the marathon.With the decrease in sports participation, the current public health status of the US is likely to become more precarious.
Lack of activity is closely linked to obesity, and today obesity is one of the biggest problems plaguing the US. Currently, the US is the country with the highest number of obese youth among 15 of its peer countries.
This study analyzes the effect of participation in sports clubs—one of the most popular extra-curricular activities among children. Citation: Felfe C, Lechner M, Steinmayr A () Sports and Child Development.
PLoS ONE 11(5): e education and behaviour. Nevertheless, the sensitivity analysis based on the simulation-based. Factors Affecting Recreation Participation by Vermont Residents Thomas A. More Herbert E. Echelberger Edward J. Koenemann. influence on mean participation.
The second analysis examined age along with education and income. With age added as a variable, education retained its marginal significance. Global Sports Apparel Market - World Sports Apparel Market Size, Trends, Analysis And Segment Forecasts To - Sports Apparel Industry Research, Outlook, Application, Product, Share, Growth, Key Opportunities, Dynamics, Analysis, Sports Apparel Report - Grand View Research Inc.
Based on a sample of youth sports participants, structural equation modeling with a bootstrapping procedure was used to examine whether the indirect relationship between achievement goal orientation and self-esteem was conditional to motivational regulation. The results show partial support for the conditional process models.
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