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研究生:卓筱婷
研究生(外文):Cho, Hsiao-Ting
論文名稱:中華職棒聯盟球隊生產效率分析:考量中間產出之DEA模型
指導教授:李文福李文福引用關係王媛慧王媛慧引用關係
學位類別:碩士
校院名稱:國立政治大學
系所名稱:經濟研究所
學門:社會及行為科學學門
學類:經濟學類
論文種類:學術論文
論文出版年:2005
畢業學年度:93
語文別:中文
論文頁數:83
中文關鍵詞:Network DEA中間產出Two-Stage DEA職業棒球效率
外文關鍵詞:Network DEAintermediate productsTwo-Stage DEAprofessional baseballefficiency
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傳統DEA效率分析假設產業具單一生產過程,直到2000年,Färe and Grosskopf 提出Network DEA,闡明產業生產過程應分屬多階段性質。本研究應用其架構,假設職棒產業生產過程為兩個階段,並特別以Sexton and Lewis (2003) 增加中間產出的Two-Stage DEA 法,即第一階段的產出作為第二階段的投入,進行1992年至2004年「中華職業棒球聯盟」,共71個DMUs的實證分析。
Two-Stage DEA的第一階段是指花錢聘雇球員,而球團有效花錢聘雇球員的程度稱為「前置效率」,效率平均值為0.994;第二階段效率是指球隊正式比賽時,球員是否充分發揮技術潛能贏球,稱為「臨場效率」,效率平均值為0.969;而包含第一、二階段的整體球團運作效率則為「組織效率」,效率平均值為0.798。透過與傳統DEA的BCC模型之比較,發現Two-Stage DEA提供較豐富的組織運作過程資訊,俾管理者找出球團之無效率階段。
復以Tobit截斷迴歸模型,探討影響球團「前置效率」、「臨場效率」與「組織效率」之變數為何。結果指出,球隊對戰觀眾數、聯盟變革與現場直播對「前置效率」有顯著影響,「臨場效率」則受到臨時性獎勵制度與投手平均年齡的影響,而對戰觀眾數、聯盟變革、總教練的更動頻率與常設性獎勵制度,則是造成球隊「組織效率」差異的主因。

關鍵字:Network DEA、中間產出、Two-Stage DEA、職業棒球、效率
Traditional DEA gauges efficiencies with only one production process, while in this study we apply Network DEA initiated by Färe and Grosskopf (2000), and in particular follow the Two-Stage DEA model incorporating the intermediate products, outputs from the first stage becomes inputs to the second stage, by Sexton and Lewis (2003) to evaluate the production efficiency of 71 DMUs of the Chinese professional Baseball League (CPBL ) from 1992 to 2004.
How fair are the ball teams paying the players is called ”front office efficiency”, arithmetic mean is 0.994, in the first stage, how potentially successful are the teams playing the games is called “on-field efficiency”, arithmetic mean is 0.969, in the second stage, and how potentially successful are the teams playing the games if with perfect front office efficiency of the teams is called “organization efficiency”, arithmetic mean is 0.798. Comparing Two-Stage DEA model with BCC model of traditional DEA, we find that the former model provides more information of organizational operations for managers to understand and better the performance of the teams.
Tobit regression analysis shows that (1) the front office efficiency is significantly positively influenced by spectators, variation of the league and television live, and (2) the on-field efficiency is significantly positively influenced by extemporaneous bonus and pitcher’s age. (3) The organization efficiency is significantly positively influenced by the spectators, variation of the league and fixed bonus, but the organization efficiency is significantly negatively influenced by change of coaches.


Keyword:Network DEA, Intermediate products, Two-Stage DEA , Efficiency, Professional baseball
第一章 緒論
1.1 研究背景與動機
1.2 研究目的與方法
1.3 本文架構
第二章 台灣職棒概述與文獻回顧
2.1 台灣職棒產業概述.
2.2 台灣職棒發展歷程與經營現況
2.3 效率文獻回顧
2.3.1 國外文獻
2.3.2 國內文獻
第三章 理論模型
3.1 生產函數與效率
3.2 傳統DEA
3.3 Two-Stage DEA
3.4 Tobit迴歸分析模型
第四章 實證結果與分析
4.1 投入產出變數選取說明
4.2 傳統DEA實證分析
4.3 Two-Stage DEA 實證分析
4.3.1 模型假設說明
4.3.2 兩模型效率值分析
4.3.3 兩模型規模報酬分析
4.3.4 兩模型參考集合分析
4.3.5 Two-Stage DEA產出差額分析
4.3.6 聯盟變革前後之兩模型效率分析
4.3.7 Two-Stage DEA球隊別組織效率分析
4.4 Tobit 迴歸分析
4.4.1 兩模型組織效率Tobit迴歸分析
4.4.2 前置效率Tobit迴歸分析
4.4.3 臨場效率Tobit迴歸分析
第五章 結論
5.1 結論
5.2 研究限制與未來研究方向
參考文獻
附表 中華職棒球團變遷
江志坤 (1994),《時報鷹職業棒球隊員績效評估之研究-資料包絡分析(DEA)法》,國立中山大學企業管理研究所碩士論文。
林閔 (2002),《美國職棒大聯盟球隊經營管理效率分析》,東吳大學經濟學研究所碩士論文。
吳佳芳 (2003),《職業棒球隊之經營效率比較》,國立中正大學國際經濟研究所碩士論文。
高興桂 (2000),《我國職棒球團企業經營困境因素與解決策略之研究》,國立台灣師範大學運動休閒與管理研究所碩士論文。
楊福珍 (1995),《台灣地區職業棒球產業網路之研究》,國立體育學院體育研究所碩士論文。
謝仕淵、謝佳芬 (2003),《台灣棒球一百年》,台北:城邦。
Ali, A.I., and L.M. Seiford (1993), “The Mathematical Programming Approach to Efficiency Analysis,” in Fried, H.O., C.A.K. Lovell and S.S. Schmidt (eds.),
The Measurement of Productive Efficiency: Techniques and Applications,
Oxford University Press, New York, 120-159.
Banker, R.D., A. Charnes and W.W. Cooper (1984), “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis,” Management Science, 30, 1078-1092.
Charnes, A., W.W. Cooper and E. Rhodes (1978), “Measuring the Efficiency of Decision Making Units,” European Journal of Operational Research, 2, 429-444.
Davis, E.L. (1974) “Self-Regulation in Baseball,” in R. G. Noll, (ed.), Government and Sports Business, Washington: The Brookings Institution, 349-385.
Einolf, K.W. (2004), “Is Winning Everything? : A Data Envelopment Analysis of Major League Baseball and the National Football League,” Journal of Sports Economics 5, 2, 127-151.
Färe, R. and G. Whittaker (1995), “An Intermediate Input Model of Dairy Production using Complex Survey Data,” Journal of Agricultural Economics, 46(2), 201-213.
Färe, R. and S. Grosskopf (1996), “Productivity and Intermediate Products: A Frontier Approach,” Economic letters, 50, 65-70.
Färe, R. and S. Grosskopf (2000), “Network DEA,” Socio-Economic Planning Sciences, 34, 35-49.
Farrell, M.J. (1957), “The Measurement of Productive Efficiency”, Journal of Royal Statistical Society, Series A, CXX, 120, 253-281.
Howard, L.W. (1993), “Fair Pay for Fair Play: Estimating Pay Equity in Professional Baseball with Data Envelopment Analysis,” Academy of Management Journal, 36(4), 882-894.
Jewell, R.T. and D.J. Molina (2001), “Production Efficiency and Salary Distribution in Major League Baseball,” working paper, North Texas University.
Koopmans, T.C. (1951), “An Analysis of Production as an Efficient Combination of Activities,” in T.C. Koopmans (ed.), Activity Analysis of Production and Allocation, Cowles Commissio for Research in Economics, Monograph No. 13, Wiley, New York.
Mazur, M.J. (1994), “Evaluating the Relative Efficiency of Baseball Players,” in Charnes, A., Cooper, W.W., Lewin, A.Y., and Seiford, L.M. (eds.), Data Envelopment Analysis: Theory, Methodology, and Applications, Boston, M.A.: Kluwer Academic Publishers, 31-46.
Porter, P.K. and G.W. Scully (1982), “Measuring Managerial Efficiency: The Case of Baseball,” Southern Economic Journal, 48(3), 642-650.
Ruggiero, J., L. Hadley, and E. Gustafson (1996), “Technical Efficiency in Major League Baseball,” in Fizel J., E. Gustafson and L. Hadley (eds.), Baseball Economics: Current Research, Westport: CT, Praeger Publishers, 191-200.
Toshiyuki S., O. Kenji and K. Youichi (1999), “A Benchmark Approach for Baseball Evaluation,” European Journal of Operational Research, 115(3), 429-449.
Tobin J. (1958), “Estimation of Relationships for Limited Dependent Variables,” Economtrica, 26(1), 24-36.
Sexton, T.R. and H.F. Lewis (2003), “Two-Stage DEA: An Application to Major League Baseball,” Journal of Productivity Analysis, 19, 227-249.
Sexton, T.R. and H.F. Lewis (2004), “Data Envelopment Analysis with Reverse Inputs and Outputs,” Journal of Productivity Analysis, 21, 113-132.
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