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on Sports and Economics |
| By: | Bergantiños, Gustavo; Moreno-Ternero, Juan D. |
| Abstract: | The COVID-19 pandemic forced the partial or total cancellation of most sports competitions worldwide. Sports organizations crucially rely on revenues raised from broadcasting. How should the allocation of these revenues be modified when sports leagues are cancelled? We aim to answer that question in this paper by means of the axiomatic approach. |
| Keywords: | C71, D63, Z20 |
| JEL: | C71 |
| Date: | 2021–09–14 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:109736&r= |
| By: | Bruno S. Frey; Anthony Gullo |
| Abstract: | We contribute to the happiness literature by analyzing the causal relationship between sports and happiness. Using longitudinal data from the German Socio- Economic Panel (GSOEP), we find a positive correlation between sports participa- tion and reported life satisfaction. This relationship is stronger at younger and older ages than in middle age, and for people in bad health compared to those in average health. We further provide evidence for both causal directions. It turns out that the causal impact of engaging in sports on happiness is about four times higher than the effect of happiness on engaging in sports. |
| Keywords: | happiness; life satisfaction; well-being; sports; causality |
| Date: | 2021–09 |
| URL: | http://d.repec.org/n?u=RePEc:cra:wpaper:2021-30&r= |
| By: | Anna Gerke (Audencia Recherche - Audencia Business School); Geoff Dickson; Hagen Wäsche |
| Abstract: | Research question: This study contributes to our understanding of how network structures influence cluster governance and consequently cluster outcomes. We investigate the relational structure of cross-sectoral sport clusters and how these influence network governance. Research methods: We employed a mixed methods approach, combining qualitative research data and social network analysis (SNA). Forty-nine interviews were conducted with employees from the surfing clusters in Aquitaine (France) and Torquay (Australia). The interview transcripts were subjected to two rounds of coding prior to SNA on an aggregated actor level. Results and findings: Findings from both clusters show the core is comprised of five actor types, while five other actor types are peripheral. The French case is a Network Administrative Organisation-governed Network while the Australian case is a Leading Group-governed Network. Implications: This article contributes to knowledge on network governance, more specifically on network governance in sport clusters. We extend existing theory on network governance by suggesting a fourth, intermediate mode of network governance, the leading group-governed network. Furthermore, our research provides insights for sport clusters, an under-researched context in interorganisational sport networks. |
| Keywords: | network governance,interorganisational,sport cluster,mixed methods,network analysis |
| Date: | 2021–09–14 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-03345370&r= |