著者
河合 慎祐 平田 竹男
出版者
日本スポーツ産業学会
雑誌
スポーツ産業学研究 (ISSN:13430688)
巻号頁・発行日
vol.18, no.2, pp.11-19, 2008-09-30 (Released:2011-03-01)
参考文献数
18
被引用文献数
1 1

The purpose of this study was to clarify the variables determining the attendance in J-league matches, using the 2, 699 J-league matches held between 1993-2005 season as a sample. There have been many studies about attendance demand in other countries, but there have been no such studies in Japan. By making a regression equation consisting of dependent variables such as attendance per match, and independent variables such as variables which determine the number of attendance, we clarified attendance demand. In the selection of independent variables, we added 4 J-league variables (“Existence of Professional Baseball Team”, “Distance from Professional Baseball Team”, “April”, “October”) to the variables used by existing literatures and extracting 21 independent variables. The result of regression analysis showed that the attendance demand model accounting dependent variable "Attendance" was about 51%. Except for 2 variables (“Population” and “Income”), the effect signs of variables agreed with existing literature. The results of variables such as “Distance”, “Income”, “Population” and “Existence of Professional Baseball Team”, suggested the conditions which can boost up attendance in the future.
著者
河合 慎祐 平田 竹男
出版者
日本スポーツ産業学会
雑誌
スポーツ産業学研究 (ISSN:13430688)
巻号頁・発行日
vol.18, no.2, pp.11-19, 2008
被引用文献数
1

The purpose of this study was to clarify the variables determining the attendance in J-league matches, using the 2, 699 J-league matches held between 1993-2005 season as a sample. There have been many studies about attendance demand in other countries, but there have been no such studies in Japan. By making a regression equation consisting of dependent variables such as attendance per match, and independent variables such as variables which determine the number of attendance, we clarified attendance demand. In the selection of independent variables, we added 4 J-league variables (“Existence of Professional Baseball Team”, “Distance from Professional Baseball Team”, “April”, “October”) to the variables used by existing literatures and extracting 21 independent variables. The result of regression analysis showed that the attendance demand model accounting dependent variable "Attendance" was about 51%. Except for 2 variables (“Population” and “Income”), the effect signs of variables agreed with existing literature. The results of variables such as “Distance”, “Income”, “Population” and “Existence of Professional Baseball Team”, suggested the conditions which can boost up attendance in the future.