Predictors of Crowd Effect in Football: Evidence From Five Major Football Leagues of Europe
This study aims to determine predictors of crowd effect in five major football leagues in Europe. Literature review shows that crowd effect can be determined as size, proximity or density for the analysis. In this study, density was selected among them. Therefore, stadium occupancy rates were used a...
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| Format: | Article |
| Language: | English |
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Selcuk University Press
2022-04-01
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| Series: | Türk Spor ve Egzersiz Dergisi |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/1805492 |
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| author | Abdullah Yiğit Güngör Tuncer Gövdeli |
| author_facet | Abdullah Yiğit Güngör Tuncer Gövdeli |
| author_sort | Abdullah Yiğit Güngör |
| collection | DOAJ |
| description | This study aims to determine predictors of crowd effect in five major football leagues in Europe. Literature review shows that crowd effect can be determined as size, proximity or density for the analysis. In this study, density was selected among them. Therefore, stadium occupancy rates were used as the crowd effect indicator. As the predictors of crowd effect; total transfer expenditure, total market value, average goals scored per match, UEFA coefficients of each league were utilized as variables of the research. In addition, gross domestic product of each country were included in the analysis as the predictor. Because supporters’ economic conditions are also important to afford ticket prices. In this context, data regarding the variables includes from the season of 2005-2006 to 2019-2020 for English Premier League, French Ligue 1, German Bundesliga, Italian Serie A, Spanish La Liga. In this study, panel data analysis was used among quantitative research methods. Stationary of data was determined at the level of I(1). It was indicated through cointegration test that there was a cointegration relationship in the panel. Hence, stadium occupancy rate would move together with other variables in the long term except total market value. According to panel causality analysis results; total transfer expenditure, average goals scored per match, and UEFA coefficients, and gross domestic product are predictors of stadium occupancy rate. |
| format | Article |
| id | doaj-art-fa5afc2dda9e4a3394f5d43707581b4c |
| institution | Kabale University |
| issn | 2147-5652 |
| language | English |
| publishDate | 2022-04-01 |
| publisher | Selcuk University Press |
| record_format | Article |
| series | Türk Spor ve Egzersiz Dergisi |
| spelling | doaj-art-fa5afc2dda9e4a3394f5d43707581b4c2025-02-03T03:38:42ZengSelcuk University PressTürk Spor ve Egzersiz Dergisi2147-56522022-04-012413037154Predictors of Crowd Effect in Football: Evidence From Five Major Football Leagues of EuropeAbdullah Yiğit Güngör0Tuncer Gövdeli1OLTU BEŞERİ VE SOSYAL BİLİMLER FAKÜLTESİATATÜRK ÜNİVERSİTESİ, OLTU BEŞERİ VE SOSYAL BİLİMLER FAKÜLTESİThis study aims to determine predictors of crowd effect in five major football leagues in Europe. Literature review shows that crowd effect can be determined as size, proximity or density for the analysis. In this study, density was selected among them. Therefore, stadium occupancy rates were used as the crowd effect indicator. As the predictors of crowd effect; total transfer expenditure, total market value, average goals scored per match, UEFA coefficients of each league were utilized as variables of the research. In addition, gross domestic product of each country were included in the analysis as the predictor. Because supporters’ economic conditions are also important to afford ticket prices. In this context, data regarding the variables includes from the season of 2005-2006 to 2019-2020 for English Premier League, French Ligue 1, German Bundesliga, Italian Serie A, Spanish La Liga. In this study, panel data analysis was used among quantitative research methods. Stationary of data was determined at the level of I(1). It was indicated through cointegration test that there was a cointegration relationship in the panel. Hence, stadium occupancy rate would move together with other variables in the long term except total market value. According to panel causality analysis results; total transfer expenditure, average goals scored per match, and UEFA coefficients, and gross domestic product are predictors of stadium occupancy rate.https://dergipark.org.tr/tr/download/article-file/1805492crowd effectstadium occupancy ratecrowd densityhome advantagepanel causality test |
| spellingShingle | Abdullah Yiğit Güngör Tuncer Gövdeli Predictors of Crowd Effect in Football: Evidence From Five Major Football Leagues of Europe Türk Spor ve Egzersiz Dergisi crowd effect stadium occupancy rate crowd density home advantage panel causality test |
| title | Predictors of Crowd Effect in Football: Evidence From Five Major Football Leagues of Europe |
| title_full | Predictors of Crowd Effect in Football: Evidence From Five Major Football Leagues of Europe |
| title_fullStr | Predictors of Crowd Effect in Football: Evidence From Five Major Football Leagues of Europe |
| title_full_unstemmed | Predictors of Crowd Effect in Football: Evidence From Five Major Football Leagues of Europe |
| title_short | Predictors of Crowd Effect in Football: Evidence From Five Major Football Leagues of Europe |
| title_sort | predictors of crowd effect in football evidence from five major football leagues of europe |
| topic | crowd effect stadium occupancy rate crowd density home advantage panel causality test |
| url | https://dergipark.org.tr/tr/download/article-file/1805492 |
| work_keys_str_mv | AT abdullahyigitgungor predictorsofcrowdeffectinfootballevidencefromfivemajorfootballleaguesofeurope AT tuncergovdeli predictorsofcrowdeffectinfootballevidencefromfivemajorfootballleaguesofeurope |