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The relation between football clubs and economic growth

The case of developed countries

Bibliographic Data

ID22234081
AuthorsMurat AYGÜN (0000-0002-7636-8325, Ardahan University, corresponding author), Yunus Savaş (0000-0002-9642-4734, Bitlis Eren University), Dilek Alma Savaş (0000-0001-6246-8539, Bitlis Eren University)
Year2023
Volume10
Issue1
Publication date2023-09-13
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHumanities and Social Sciences Communications (JOURNAL)
Journal identifiersISSN: 2662-9992 • E-ISSN: 2662-9992
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1057/s41599-023-02074-2
OpenAlexW4386714855
LanguageEN
Citations received4
References cited48

It is believed that societies use sports as a tool for their social and cultural development. In particular, developed countries have embraced sports as part of their lives and have ranked it as a source of economic growth. The increase in sports consumption and industries can contribute to economic growth, and economic growth can have a positive impact on sports industries vice versa. The wavelet methodology is a way to discover the relationship between sports and economic growth by examining frequency and time domain aspects and identifying shorter to longer-term relationships continuously. The industrial production of different countries has experienced short and medium-term cycles around the year 2020. In contrast, the values of football clubs in these countries have shown minimal fluctuations, despite the emergence of some areas with slight significance. The cross wavelet analysis asserted the significance relation revealed after the covid 19 restrictions, both in shorter and longer periods. The wavelet coherence analysis showed that co-movement was observed in short-term cycles in countries across the periods while long-term co-movements are observed only in only in small areas or generally out of cone of influence

Demographic economics · Development economics · Economic geography · Economics · Economy · Football · Macroeconomics · Political science · Social science · Sociology · Sport and Mega-Event Impacts · Sports Analytics and Performance · Sports, Gender, and Society

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    Michael Drewes, Frank Daumann et al.•Soccer and Society•2020

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Unique citing works4
Citations per year4
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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