Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

The effectiveness of the sports management system in Europe

High achievements, public funding and a healthy lifestyle

Bibliographic Data

ID7758940
AuthorsVitaliia Koibichuk (0000-0002-3540-7922), Віталія Койбічук (Sumy State University), Serhii Drozd (0000-0002-0716-3078, Sumy State University), Angéla Somogyi (0000-0001-7966-1159, Sumy State University)
Year2022
Volume15
Issue4
Pages264-285
Publication date2022-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEconomics & Sociology (JOURNAL)
Journal identifiersISSN: 2071-789X • E-ISSN: 2306-3459
PublisherCentre of Sociological Research, Szczecin, Poland (PUBLISHER • PL)
DOI10.14254/2071-789x.2022/15-4/13
OpenAlexW4320028562
LanguageEN
Citations received2
References cited69

The article proposes an original approach to evaluating the effectiveness of the sports management system, which differs from the classical linear and non-linear optimization methods due to its use of quantile regression models. Three main indicators were chosen for creating the quantile regressions: (i) number of participants in the Olympic Games - as a feature of the effectiveness of the high-achievement sports; (ii) total number of people engaged in sports - as a feature of an effective mass sports system, which ensures a healthy lifestyle of the population; and (iii) state expenses on recreational and sports services. The quality of quantile regressions was validated by the Fisher test and the two-factor variance analysis. The research focused on the data of 30 European countries, which officially and publicly provide access to statistical reports on these issues. The countries were divided into two groups with above-average and below-average effectiveness of the sports management system. Two hypotheses were proposed and tested in the study. Hypothesis H1 was that the effectiveness of high-achievement sports depends on the amount of state funding for developing the sports industry. Research results confirmed this hypothesis for countries with an above-average level of sports management system effectiveness, but refuted it for the other group. Hypothesis H2 stated that the more massive the development of sport in a country, i.e., the more people are engaged in sports and lead a healthy lifestyle, the more likely this country is to achieve victories in high-achievement sports. This hypothesis was confirmed for both groups of countries

Actuarial science · Business · Econometrics · Economics · Environmental health · Political science · Population · Public relations · Quantile · Quantile regression · Recreation · Sport management · Test (biology) · Business and Economic Development · Diverse Scientific Research in Ukraine · Marketing · Medicine · Sport and Mega-Event Impacts

  • Assessment of selected areas of sport in EU countries

    Open Access•Beata Gavurova, Vaclav Friedrich•Economics & Sociology•2024

  • Social and economic determinants of quality of life

    Open Access•Tetyana Vasylieva, Wioleta Witczak-Smolnik et al.•Economics & Sociology•2023

  • Bibliometrix

    Open Access•Massimo Aria, Corrado Cuccurullo•Journal of Informetrics•2017

  • Should risk-averse investors target the portfolios of socially responsible companies

    Open Access•María Del Carmen Valls Martínez, Rafael Soriano Román et al.•Oeconomia Copernicana•2022

  • Analysis of socio-economic spatial structure of urban agglomeration in China based on spatial gradient and clustering

    Open Access•Li He, Jian’ge Tao et al.•Oeconomia Copernicana•2021

  • Public Health System Economic Efficiency and Covid-19 Resilience

    Open Access•Aleksandra Kuzior, Марія Каща et al.•International Journal of…•2022

  • Quantile Regression

    Open Access•Roger Koenker, Kevin F Hallock•The Journal of Economic…•2001

  • The importance of the leadership functions of a high-reliability health care organization in managing the Covid-19 pandemic in Turkey

    Open Access•Imran Sarihasan, Krisztina Dajnoki et al.•Economics & Sociology•2022

  • Country's health profile

    Open Access•Serhiy Lyeonov, Svitlana Bilan et al.•Economics & Sociology•2021

  • Neural network modeling of the economic and social development trajectory transformation due to quarantine restrictions during Covid-19

    Open Access•Tetyana Vasilyeva, Olha Kuzmenko et al.•Economics & Sociology•2021

  • Why do regions differ in vulnerability to СOvid-19? Spatial nonlinear modeling of social and economic patterns

    Open Access•Olha Kuzmenko, Tetyana Vasylieva et al.•Economics & Sociology•2020

Unique citing works2
Citations per year0,67
Citation span2023 - 2024 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae