6 research outputs found

    An estimation of consumer spending on sport in Lithuania, its division between active and passive participation and the effects of COVID-19

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    The economic importance of sport has been developing from several methodological origins. Most economic research into the sport economies develops indicators for gross value added (GVA), employment and consumer spending. A further elucidation of the benefits of the sport economy relates to well-being outcomes, either from sport participation or from sport spectating. The added value of this research is that it estimates sport consumer spending in Lithuania into two distinctive strands: active participation (e.g., participating in sport or fitness) and passive participation (e.g., attending sport events). The aim of this research is to link the consumer spending results to the GVA and employment results of the Sport Satellite Account and elucidate the main characteristics of the sport economy and how these are affected by the COVID-19 epidemic. Analysis of the scientific literature, a survey sample in Lithuania consisting of 3506 respondents who spent part of their household budget on sports activities (active or passive), and a specific method of analysis were developed and applied in this research. The research results show that consumer expenditure in sport is divided into passive and active with percentage shares of 17% and 83%, correspondingly. Sport consumption overall accounts for 2.2% of total consumption in Lithuania. Most elements of consumer spending in the passive and active categories are associated with welfare effects. The importance of the analytical framework is that we can explicitly differentiate among categories such as tourism for participation and tourism for spectating, which are associated with different well-being effects. The pandemic affected 53.7% of active sport consumption, a smaller percentage than in the case of passive participation (67.4%).</jats:p

    An Estimation of Consumer Spending on Sport in Lithuania, Its Division between Active and Passive Participation and the Effects of COVID-19

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    CC BY 4.0The economic importance of sport has been developing from several methodological origins. Most economic research into the sport economies develops indicators for gross value added (GVA), employment and consumer spending. A further elucidation of the benefits of the sport economy relates to well-being outcomes, either from sport participation or from sport spectating. The added value of this research is that it estimates sport consumer spending in Lithuania into two distinctive strands: active participation (e.g., participating in sport or fitness) and passive participation (e.g., attending sport events). The aim of this research is to link the consumer spending results to the GVA and employment results of the Sport Satellite Account and elucidate the main characteristics of the sport economy and how these are affected by the COVID-19 epidemic. Analysis of the scientific literature, a survey sample in Lithuania consisting of 3506 respondents who spent part of their household budget on sports activities (active or passive), and a specific method of analysis were developed and applied in this research. The research results show that consumer expenditure in sport is divided into passive and active with percentage shares of 17% and 83%, correspondingly. Sport consumption overall accounts for 2.2% of total consumption in Lithuania. Most elements of consumer spending in the passive and active categories are associated with welfare effects. The importance of the analytical framework is that we can explicitly differentiate among categories such as tourism for participation and tourism for spectating, which are associated with different well-being effects. The pandemic affected 53.7% of active sport consumption, a smaller percentage than in the case of passive participation (67.4%)

    Sport Promotion through Sport Mega-Events. An Analysis for Types of Olympic Sports in London 2012

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    A substantial amount of attention has been devoted towards the potential sport legacy of the Olympic Games. In spite of the increasing academic interest in this topic, there is a knowledge gap as far as sport legacy is concerned by types of different sports. The authors bridge this gap by analysing the evolution of 43 different Olympic/Paralympic sport modalities in the two-year period after the London 2012 Olympics. By using data from the Active People Survey with a sample of 165,000 people annually, and considering some demographic variables and the effect of the economic environment, the paper aims to test the existence of a sport legacy. We have applied time series analysis and ARIMA models for controlling for economic influence and seasonal adjustment and for making comparisons among participation rates. The results show, for the total of the sports analysed, that there were 336,000 individuals who increased their frequency of participation, while there was no significant increase in the number of new participants in these sports. When we develop the analysis for types of sports, London 2012 is positively associated not only with the frequency of participation in some types of sport but also with an increase in the number of new sport participants. Gender and age differences are also detected. The results show the differences of sport legacy by type of sports. Moreover, this research has elucidated an important unrecognised aspect of the effect of the Olympic Games and perhaps major events: that they can become a major policy tool for reversing sporting inequalities

    Valuing the contribution of sport volunteering to subjective wellbeing: evidence from eight European countries

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    Introduction: Volunteering is a prominent and integral aspect of the activities undertaken by sports clubs in Europe. However, even with its growing importance, quantifying the monetary worth of this nonmarket activity, in terms of wellbeing, can present certain difficulties. Traditional approaches to valuing volunteering (i.e., replacement and opportunity cost approaches) do not fully capture the value of volunteering to individuals, as they do not consider the intangible benefits that individuals may derive from their participation. Methods: This research provides added value to the monetisation of volunteering in sport by applying the wellbeing valuation approach (WVA) for the first time to a cross-sectional data in eight European countries. A double instrumental variable approach was developed to correct for unobservable variables that may influence the pairs: income and subjective wellbeing (SWB), and volunteering and SWB. This allows to estimate the causal impact of volunteering and income on SWB more accurately and assign a reasonable monetary value to this non-market activity. Results: The results, based on a sample size of 1,091, show an income compensation for a volunteer, devoting on average 8.7 hours during a four-week period of €16 to €50 per hour, equivalent to between € 1,700 and € 5,200 per year, depending on the nationality of the volunteer. Discussion: With these estimations insights into the value of volunteering in sports are provided, contributing to a better understanding of how this activity can be valued and supported. By recognising and accurately valuing the contributions of volunteers, sport organizations and policymakers can develop more effective strategies for promoting and supporting volunteering in sports
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