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《Sport Management Review》2020,23(2):315-329
In many countries, voluntary sports clubs are the main recipients of public subsidies regarding the provision of recreational sport, and the economically most important level of government is usually the local government (i.e. the municipalities). The purpose of this article is to examine whether and how municipal framework conditions matter for sports clubs. Inspired by previous studies, we examine the role of direct and indirect public subsidies as well as facility coverage. The authors conduct analyses on a general level (for all sports) and specifically for five sports (badminton, football, gymnastics, handball and swimming). The differentiation between sports allows us to examine how municipal framework conditions might be associated differently with density and participation across sports. In the statistical analyses, the authors apply data collected among all 98 Danish municipalities. The results show that the municipal levels of direct and indirect subsidies are weakly correlated with both the density of and participation in sports clubs, while stronger correlations can be identified with regard to facility coverage. The analyses for the five sports reveal that the supply of relevant facility types is – with few exceptions – positively correlated with sports club density and participation levels within each sport. Thus, facility coverage seems to play a more important role for sports clubs than the levels of indirect and particularly direct subsidies.  相似文献   
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Social network analysis (SNA) has been used in many educational studies in the past decade, but what these studies have in common is that the populations in question in most cases are defined and known to the researchers studying the networks. Snowball sampling is an SNA methodology most often used to study hidden populations, for example, groups of homosexual people, drug users or people with sexually transmitted diseases. By use of a snowball sampling approach, this study mapped municipal social networks of educational actors, who were otherwise hidden to the researchers. Subsequently, the resulting networks were validated through interviews with central respondents and by using prior investigations of the municipalities. Our results confirmed that the majority of the designated respondents recognized the resulting sociograms and their own position in these. It was also found that not all predictions based on existing knowledge of the municipalities aligned with SNA data. However, these discrepancies could be explained by development in the municipalities in the time following previous investigations. This study shows that snowball sampling is an applicable method to use for mapping hidden populations in educational settings, but also that qualitative studies are needed in order to interpret the networks in real-life contexts.  相似文献   
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