| 摘要(英) |
Thanks to the popularity of sports and advanced technology of mass communication, the professional sports industry has been a part of modern life. Besides the attractive games, the business of team is also an attraction for the fans. As a result of the movie “Moneyball”, the influence on team performance evaluated by salary structure and roster development has been a top issue both in the sport industrys and labor economics.
This research uses the data of players in MLB for the recent 20 years (1996-2015) as a sample, exploring the impacts of the salary structure and roster development on team performance. Win probability and home game attendance are two indexes used to evaluate the team performance; total salary, salary inequality, the share of top-10-salaried players, players turnover rates as the factors which may influence the team performance.
The empirical results show that salary inequality has negative impacts on both the win probability and home game attendance. In addition, the share of top-10-salaried players has a positive effect and player turnover rate has a negative effect, respectively, on the win probability, but both have no apparent impact on the home game attendance. In order to overcome the potential endogeneity of total salary, we estimate the model via instrumental variable (IV) estimation method. The IV estimation results show total salary have a larger effect on the team performance, this implies that the effect of total salary is underestimated when ignore the endogeneity problem. |
| 參考文獻 |
一、文章部分
〔1〕Scully,G.W. (1974), "Pay and Performance in Major League Baseball",The American Economic Review, Vol. 64, pp. 915-930
〔2〕Leazer, E.P. and Rosen, S. (1981), "Rank-Order Tournaments as Optimum Labor Contracts", Journal of Political Economy, Vol. 89, pp. 841-864IEA, 2015, Energy
Technology Perspective.
〔3〕Akerlof, G.A. and Yellen, J.L. (1990), "The Fair Wage-Effort Hypothesis and Unemployment", Quarterly Journal of Economics, Vol. 105(2), pp. 255-283
〔4〕Levine, D.I. (1991), "Cohesiveness, productivity, and wage dispersion",Journal of Economic Behavior and Organization, Vol. 15, pp. 237-255
〔5〕Bloom, M. (1999), "The Performance Effects of Pay Dispersion on Individuals and Organizations", Academy of Management Journal, Vol. 42, pp. 25-40
〔6〕Depken, C.A. (2000), "Wage disparity and team productivity：evidence from MLB", Economics Letters, Vol. 67, pp. 87-92
〔7〕Rosen, S. and Sanderson, A. (2001), "Labour markets in professional sports", The Economic Journal, Vol. 111, pp. 47-68
〔8〕Wiseman, F. and Chatterjee, S. (2003), "Team payroll and team performance in MLB：1985-2002", Economics Bulletin, Vol. 1, No.2 pp. 1-10
〔9〕Frick, B., Prinz, J. and Winkelmann, K. (2003), "Pay inequalities and team performance", International Journal of Manpower, Vol. 24, No.4 pp. 472-488
〔10〕Einolf, K. (2004), "Is Winning Everything? A DEA of MLB and the NFL", Journal of Sports Economics, Vol. 5, No.2 pp. 127-151
〔11〕Jewell, R. and Molina, J. (2004), "Productive efficiency and salary distribution: the case of US MLB," Scottish Journal of Political Economy, Vol. 51, No.1
〔12〕Annala, C. and Winfree, J. (2011), "Salary distribution and team performance in MLB," Sport Management Review, Vol. 14, pp. 167-175
〔13〕陳冠語，2010，「薪資結構對組織績效的影響 — 以NBA及MLB為例」，碩士論文，國立中央大學產業經濟研究所。
〔14〕吳啟睿，2012，「豪門球隊的Money Ball — 以Major League Baseball為例」，碩士論文，國立台灣科技大學企業管理系碩士班。
二、網頁部分
〔15〕美國大聯盟官方網站 http://mlb.mlb.com
〔16〕ESPN – MLB Attendance Report http://espn.go.com/mlb/attendance
〔17〕USA TODAY http://www.usatoday.com/sports/mlb/salaries
〔18〕棒球年鑑 http://www.baseball-reference.com/
〔19〕美國勞動部http://www.bls.gov/lau
〔20〕加拿大經濟指標 http://www.tradingeconomics.com/canada |
[Endnote RIS 格式]
[相關文章]
[文章引用]
[完整記錄]
[館藏目錄]
[檢視]
plurk
funp
live
udn
HD
myshare
netvibes
friend
youpush
delicious
baidu
Google bookmarks
del.icio.us
hemidemi
facebook
twitter
google
reddit