Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/134145
DC FieldValueLanguage
dc.contributor.advisor李文福zh_TW
dc.contributor.author賴楨澔zh_TW
dc.creator賴楨澔zh_TW
dc.date2021en_US
dc.date.accessioned2021-03-02T06:46:19Z-
dc.date.available2021-03-02T06:46:19Z-
dc.date.issued2021-03-02T06:46:19Z-
dc.identifierG0106258005en_US
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/134145-
dc.description碩士zh_TW
dc.description國立政治大學zh_TW
dc.description經濟學系zh_TW
dc.description106258005zh_TW
dc.description.abstract中華職棒即將邁入第三十二年,國內外針對職業運動績效評估逐漸受到重視,過往常以傳統DEA法分析投入產出效率問題,而在講求專業分工的現代,探討球隊內部結構的運作勢在必行。\n本研究參考Lewis, Lock and Sexton(2009)棒球效率評估模型,將球隊分為進攻、防守和整合三個部門。本研究以Network DEA探討中華職棒2003至2018年間攻守能力、效率與達標效能的表現,進攻能力(O-capability)與防守能力(D-capability)定義為壘打數、總保送和失誤的綜合指標。另外藉由三者與得失分來衡量各球隊效率表現,並以例行賽勝率與季後賽戰績累積機率作為最終達標效能。\n實證結果顯示國內職棒打者不管在打擊或選球上都有持續進步,而在防守上失誤次數也逐漸地減少,顯示選手平均素質越來越高,卻也凸顯國內投手的問題。不論例行賽或季後賽,攻守能力與效率對達標效能皆有高度解釋力,顯示兩者確實為影響達標效能的重要因子,其中攻守能力較效率更具影響力。\n比較攻守能力與效率對達標效能的相對貢獻在例行賽和季後賽中最大的不同點是獲勝效率,在季後賽中獲勝效率對達標效能具有較高的貢獻度,推測短期且競爭激烈的賽事中,若能贏得比分較接近的比賽,將能率先取得優勢並大幅提升球隊信心,進而取得較佳成績。zh_TW
dc.description.abstractThe Chinese Professional Baseball League(CPBL) is about to enter its 32nd year. The performance evaluation of professional sports has gradually received attention at home and abroad. In the past, the traditional DEA method was used to analyze the efficiency of input and output. However, the operation trend of the team internal structure must be discussed in this work specialization modern time.\nThis study refers to the Lewis, Lock and Sexton (2009) baseball efficiency evaluation model, which divides the team into offense, defense, and integration. This study uses Network DEA to discuss the performance of offensive and defensive capability, efficiency and effectiveness of the CPBL from 2003 to 2018. Offensive and defensive capabilities are defined as the comprehensive index of the total bases, total walks and turnovers. In addition, the efficiency performance of each team is measured by the three factors and the runs. The regular season winning rate and the cumulative probability of the post season record are used as the effectiveness.\nThe empirical results show that domestic professional baseball players have continued to improve both in hitting and picking, and the number of defensive turnovers has gradually decreased. It not only shows that the average quality of players is getting higher and higher, but also highlights the problem of domestic pitchers. Regardless of the regular season or the post season, both offensive and defensive capability and efficiency have a high degree of explanatory power for the effectiveness. It shows that these two are the indeed important factors affecting the effectiveness and the capability is more influential than the efficiency. \nComparing the relative contribution of effectiveness between offensive and defensive capabilities and efficiency, the difference between the regular season and the post season is the winning efficiency. Winning efficiency in the post season has a higher contribution to the effectiveness. It is speculated that short-term and highly competitive events in the game. If you can win a game with a close score, you will be able to take the lead and greatly enhance the team`s confidence, and then achieve better results.en_US
dc.description.tableofcontents第一章 緒論 1\n1.1研究動機 1\n1.2研究目的 3\n第二章 文獻回顧 4\n2.1棒球效率評估之文獻 4\n2.2小結 7\n第三章 理論基礎 10\n3.1效率與DEA 10\n3.1.1效率評估 10\n3.1.2資料包絡分析法基本理論(DEA) 11\n3.1.3網絡資料包絡分析法(Network DEA) 12\n3.2棒球場上表現評估 13\n3.2.1能力 14\n3.2.2效率 15\n3.2.3例行賽與季後賽達標效能 18\n3.3加權最小平方迴歸分析(Weighted least squares regression) 19\n第四章 實證分析 21\n4.1變數選取與資料來源 21\n4.2投入與產出資料變數 21\n4.2.1投入產出變數解釋 22\n4.2.2投入產出基本敘述統計 23\n4.3實證結果分析 25\n4.3.1例行賽攻守能力、效率與達標效能之基本敘述統計 25\n4.3.2晉級季後賽與否的攻守能力、效率與達標效能比較 30\n4.3.3例行賽攻守能力與效率對例行賽達標效能之迴歸分析 31\n4.3.4季後賽攻守能力與效率對季後賽達標效能之迴歸分析 33\n第五章 結論與建議 37\n參考文獻 39\n中文部分 39\n英文部分 40zh_TW
dc.format.extent1413128 bytes-
dc.format.mimetypeapplication/pdf-
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#G0106258005en_US
dc.subject網絡資料包絡分析法zh_TW
dc.subject職業棒球zh_TW
dc.subject能力zh_TW
dc.subject效率zh_TW
dc.subject達標效能zh_TW
dc.subjectNetwork DEAen_US
dc.subjectProfessional baseballen_US
dc.subjectCapabilityen_US
dc.subjectEfficiencyen_US
dc.subjectEffectivenessen_US
dc.title中華職棒攻守能力、效率與達標效能之研究zh_TW
dc.titleThe Research of offensive and defensive capability,efficiency and effectiveness in CPBLen_US
dc.typethesisen_US
dc.relation.reference中文部分\n王禹斌 (2006),「美國職棒大聯盟球隊之技術效率分析」,國立中正大學國際經濟研究所碩士論文。\n江志坤(1994),「時報鷹職業棒球隊員績效評估之研究-資料包絡分析法」,國立中山大學企業管理研究所碩士論文。\n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。\n卓筱婷(2005),「中華職棒聯盟球隊生產效率分析:考量中間產出之DEA模型」,國立政治大學經濟研究所碩士論文。\n林閔鉫(2003),「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。\n陳信宏(2010),「台灣職業棒球之市場法則-球隊效率與存活」,國立政治大學 財政研究所碩士論文。\n游秉睿(2006),「我國職棒球隊績效評估:兩階段資料包絡分析法之應用」,國立中山大學公共事務管理研究所碩士論文。\n劉佳倫(2017),「職業棒球運動員效率評估-非意欲跨越邊界DEA的應用」,東吳大學經濟學研究所碩士論文。\n\n英文部分\nBanker, R. D., A. Charnes and W. W. Cooper (1984), “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis,” Management Science, 30(9), 1078-1092\nBennett, J. M., and J. A. Flueck (1983), “An Evaluation of Major League Baseball Offensive Performance Models,” The American Statistician, 37(1), 76-82.\nBukiet, B., E. R. Harold and J. L. Palacios (1997), “A Markov Chain Approach to Baseball,” Operations Research, 45(1), 14-23.\nCharnes, A., W. W. Cooper and E. Rhodes (1978), “Measuring the Efficiency of Decision Making Units,” European Journal of Operational Research, 2(6), 429-444\nCharnes, A., W. W. Cooper, B. Golany, R. Halek, G. Klopp, E. Schmitz and D. Thomas (1986), “Two Phase Data Envelopment Analysis Approach to Policy Evaluation and Management of Army Recruiting Activities: Tradeoffs between Joint Services and Army Advertising,” Research Report CCS No. 532, Center for Cybernetic Studies, The University of Texas at Austin, Texas.\nFarrell, M. J. (1957), “The Measurement of Productive Efficiency,” Journal of the Royal Statistical Society, 120(3), 253-290\nKao, C. (2014), “Network Data Envelopment Analysis: A Review,” European Journal of Operational Research, 239(1), 1-16\nLewis, H.F. and T.R. Sexton (2004), “Data Envelopment Analysis with Reverse Inputs and Outputs,” Journal of Productivity Analysis, 21(2), 113-132.\nLewis, H. F., K. A. Lock and T. R. Sexton (2009), “Organizational Capability, Efficiency and Effectiveness in Major League Baseball: 1901-2002,” European Journal of Operational Research, 197(2), 731-740.\nLewis, H. F., T. R. Sexton and K. A. Lock (2007), “Player Salaries, Organizational Efficiency, and Competitiveness in Major League Baseball,” Journal of Sports Economics, 8(3), 266-294\nO’Donnell, C.J., D.S.P. Rao and G.E. Battese (2008), “Metafrontier frameworks for the study of firm-level efficiencies and technology ratios,” Empirical Economics, 34(2), 231–255\nRosner, B., F. Mosteller and C. Youtz (1996), “Modeling Pitcher Performance and the Distribution of Runs Per Inning in Major League Baseball, ” The American Statistician, 50(4), 352-360\nSexton, T.R. and H.F. Lewis (2003), “Two-Stage DEA: An Application to Major League Baseball,” Journal of Productivity Analysis, 19(2), 227-249.\nSueyoshi T, K Ohnishi and Y Kinase (1999), “A Benchmark Approach for Baseball Evaluation,” European Journal of Operational Research, 115(3), 429-448.zh_TW
dc.identifier.doi10.6814/NCCU202100366en_US
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