dc.contributor.author | Wicker, Pamela | |
dc.contributor.author | Hallmann, Kirstin | |
dc.contributor.author | Breuer, Christoph | |
dc.date.accessioned | 2017-05-03T16:02:02Z | |
dc.date.available | 2017-05-03T16:02:02Z | |
dc.date.issued | 2012 | |
dc.date.modified | 2013-06-18T03:40:03Z | |
dc.identifier.issn | 2042678X | |
dc.identifier.doi | 10.1108/20426781211207665 | |
dc.identifier.uri | http://hdl.handle.net/10072/48748 | |
dc.description.abstract | Purpose - Sport participation is not exclusively determined by individual socio-demographic factors (micro level) since infrastructure factors such as the availability of sport facilities and sport programmes (macro level) can also play a role in this regard. The purpose of this paper is to provide evidence for these determinants of sport participation using multi-level analyses. Design/methodology/approach - A survey among the resident population in the city of Munich was carried out in 2008 (n=11,715). Furthermore, secondary data on the available sport infrastructure in every urban district of Munich (n=25) were collected. Multi-level analyses were conducted to find the micro and macro level determinants of sport participation. Findings - The results show that aside from micro level factors, the availability of swimming pools and parks is especially important for residents' sport activity. Moreover, sport activity in non-profit sport clubs can be enhanced by both a good supply of sport programmes offered by sport clubs as well as a poor supply of programmes from commercial sport providers and the municipality. Research limitations/implications - Multi-level analyses can be recommended for future research on sport participation. The use of GIS data would be fruitful in this regard. Practical implications - It can be recommended that municipalities invest in the construction of swimming pools and parks. Originality/value - The paper shows that multi-level analyses are a relatively new method of analysis for research on sport participation and that they represent the most suitable approach for analysing multi-level data. | |
dc.description.peerreviewed | Yes | |
dc.description.publicationstatus | Yes | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Emerald Group Publishing | |
dc.publisher.place | United Kingdom | |
dc.relation.ispartofstudentpublication | N | |
dc.relation.ispartofpagefrom | 51 | |
dc.relation.ispartofpageto | 68 | |
dc.relation.ispartofissue | 1 | |
dc.relation.ispartofjournal | Sport, Business, Management | |
dc.relation.ispartofvolume | 2 | |
dc.rights.retention | Y | |
dc.subject.fieldofresearch | Commerce, Management, Tourism and Services not elsewhere classified | |
dc.subject.fieldofresearch | Business and Management | |
dc.subject.fieldofresearch | Commercial Services | |
dc.subject.fieldofresearchcode | 159999 | |
dc.subject.fieldofresearchcode | 1503 | |
dc.subject.fieldofresearchcode | 1504 | |
dc.title | Micro and macro level determinants of sport participation | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dc.type.code | C - Journal Articles | |
gro.faculty | Griffith Business School, Department of Tourism, Sport and Hotel Management | |
gro.date.issued | 2012 | |
gro.hasfulltext | No Full Text | |
gro.griffith.author | Wicker, Pamela V. | |