應用資料包絡分析法(DEA)探討職業球隊投入成本與績之關係

Professional Ball Teams' Input Costs and Their Performance: An Application of Data Envelopment Analysis (DEA)

吳翠治(Tsui-Chih Wu) ； 齊德彰(Der-Jang Chi) ； 李科翰(Ko-Han Lee)

《運動知識學報》 8期 (2011/08) Pp. 86-101

https://doi.org/10.29596/BGYY.201108.0008

摘要

本研究透過Pearson相關係數分析與資料包絡分析法(DEA)效率分析，來進行美國職業球隊的投入成本與績效關聯性的研究，探討職業球隊球員薪資與其他相關費用的投入對球隊價值、收入、勝率的關係。研究對象包括美國三大職業運動：美國職業棒球大聯盟(MLB)、美國職業籃球聯盟(NBA)與美國職業橄欖球聯盟(NFL)的職業球隊。本研究實證結果顯示：透過Pearson相關係數分析顯示職業球隊球員薪資與其他相關費用的投入對球隊勝率、收入與整體價值都有正向顯著的影響。進一步透過DEA來進行投入與產出的效率分析，發現有些投入成本與績效產出的效率相當良好，有些效率卻不甚理想有待改善。

關鍵字

資料包絡分析法DEA ； 職業球隊 ； 投入成本 ； 績效 ； 美國職業棒球大聯盟MLB ； 美國職業籃球聯盟NBA與美國職業橄欖球聯盟NFL

並列摘要

This study conducts Pearson correlation coefficient analysis and Data Envelopment Analysis (DEA) to investigate the association between American professional ball teams' input costs and their performance. Specifically, we examine the relation between the players' salaries and other expenditures and the teams' value, revenue, and winning percentage. Our sample includes Major League Baseball (MLB), National Basketball Association (NBA), and National Football League (NFL). The findings of Pearson correlation coefficient analysis show that the players' salaries and other expenditures statistically and positively associated with the teams' value, revenue, and winning percentage. When further performing DEA to analyze the efficiency of input and output, we find that in spite of efficient input and output for most teams, some teams' efficiency leaves something to be desired.

並列關鍵字

Data Envelopment Analysis DEA ； professional ball teams ； input costs ； performance ； Major League Baseball MLB ； National Basketball Association NBA ； National Football League NFL