Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/49238
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dc.contributor.advisor陳國樑zh_TW
dc.contributor.author陳信宏zh_TW
dc.creator陳信宏zh_TW
dc.date2009en_US
dc.date.accessioned2010-12-07T18:02:32Z-
dc.date.available2010-12-07T18:02:32Z-
dc.date.issued2010-12-07T18:02:32Z-
dc.identifierG0097255028en_US
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/49238-
dc.description碩士zh_TW
dc.description國立政治大學zh_TW
dc.description財政研究所zh_TW
dc.description97255028zh_TW
dc.description98zh_TW
dc.description.abstract本研究利用DEA的效率衡量工具,分析球隊可能的解散因素,推論台灣職業棒球之市場機制。根據效率估計的結果約略可將台灣職業棒球二十年的發展分成三個時點,1990年至1997年—第一次簽賭爆發前:效率值呈現遞減的現象;1998年至2002年—兩聯盟共存期:多數的球隊呈現經營績效不佳;2003年至2009年—兩聯盟合併後時期:球隊普遍的經營績效均拉升。\r\nTobit迴歸分析結果顯示兩聯盟共存對經營績效有負向影響,二軍制度則對球隊的經營績效有正向影響,但令人訝異的是觀眾數對經營績效有負向的影響。存活分析結果推論觀眾數、球隊經營績效為影響球隊存續最重要的兩個因素。資料比對的結果符合上述Tobit迴歸及存活分析之結論,強化在DEA、Tobit、存活分析的推論結果。總而言之,台灣職業棒球市場經營機制尚未健全,本研究將其稱為「半人為市場機制」。台灣職棒必須進行改革,避免非市場因素介入市場運作,台灣棒球產業的未來才有發展性。\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n關鍵字:職業棒球、DEA效率分析、績效分析、Tobit迴歸分析、存活分析zh_TW
dc.description.abstractIn this study, we use DEA efficiency measurement as a tool to analyze the survival of teams in the Taiwanese professional baseball market. According to the efficiency measurement results, one can divide the development of the Taiwanese professional baseball teams in the last twenty years into the following three periods: first, from 1990 to 1997—the outbreak of the first gambling scandal, overall efficiency performance was falling; second, from 1998 to 2002—when two professional leagues coexisted, overall efficiency performance was at the lowest; third, from 2003 to 2009—after two leagues were merged, significant improvement in terms of efficiency performance was observed.\r\nTobit regression results suggest that the coexistence of two professional leagues has negative impact to the efficiency performance of teams while the introduction of the minor league system has positive impact to the efficiency performance. Surprisingly, the number of audience who attended baseball games has negative effect on the efficiency performance. The results from survival analysis identified the number of audience who attended baseball games and efficiency performance are the two main factors for the survival of a baseball team. A detailed data analysis confirms the Tobit regression and survival study results. In general, the market mechanism is yet well-developed. Non-market factors often affect the development of baseball teams and their survival. Drastic reforms and changes are required for the future development of the professional baseball market.\r\n\r\n\r\n\r\nKeywords: Professional Baseball, DEA Efficiency Analysis, Performance Analysis,\r\nTobit Regression Analysis, Survival Analysisen_US
dc.description.tableofcontents第一章 緒論 1\r\n1.1研究動機及背景 1\r\n1.2研究目的 2\r\n1.3研究架構 4\r\n第二章 職棒現況及文獻探討 5\r\n2.1職棒發展歷史與概況簡述 5\r\n2.2文獻起源 7\r\n2.3台灣棒球文獻 7\r\n2.4國外棒球文獻 8\r\n2.5小結 11\r\n第三章 效率評估概念與實證模型介紹 12\r\n3.1資料包絡分析效率評估概念及研究模型 12\r\n3.1.1 C.C.R.模型 12\r\n3.1.2 B.C.C.模型 17\r\n3.1.3 Window Analysis 19\r\n3.2 Tobit迴歸模型 20\r\n3.3 Cox Proportional Hazard Models 21\r\n第四章 實證分析 22\r\n4.1投入與產出項設定 22\r\n4.1.1 DEA產出變數說明 22\r\n4.1.2 DEA投入變數說明 23\r\n4.1.3 Tobit變數說明 23\r\n4.1.4 Cox Proportional Hazard Models 24\r\n4.2變數資料來源及處理 24\r\n4.2.1 產出變數 25\r\n4.2.2 投入變數 25\r\n4.3經營績效分析 27\r\n4.3.1 一階段DEA效率估計 28\r\n4.3.2 一階段效率估計分析 31\r\n4.3.3 DEA分析小結 35\r\n4.4 Tobit迴歸分析 36\r\n4.4.1 Tobit 迴歸結果 36\r\n4.4.2 Tobit迴歸小結 38\r\n4.5 Survival Analysis 39\r\n4.5.1 Count Time Data 形式 40\r\n4.5.2 Kaplan Meier Survival Function 42\r\n4.5.3 存活分析小結 42\r\n4.6資料比對法 43\r\n第五章 實證總結及未來研究建議 48\r\n5.1實證結論 48\r\n5.2研究建議 50\r\n參考文獻 51\r\n圖目錄\r\n圖1. 投入導向模型圖 15\r\n圖2. 產出導向模型圖 16\r\n圖3. B.C.C.模型與C.C.R.模型比較圖 18\r\n圖4. Window Analysis技術概念圖 19\r\n圖5. 職棒一年到八年平均總技術效率走勢圖 33\r\n圖6. 職棒九年到十三年平均總技術效率走勢圖 34\r\n圖7. 職棒十四年到二十年平均總技術效率走勢圖 34\r\n圖8. 存活機率走勢圖 42\r\n表目錄\r\n表1. 年度薪資調整權數表 27\r\n表2. 一階段效率值估算表 28\r\n表3. 一階段效率估計之基本統計量表 31\r\n表4. 平均薪資之基本統計量表 31\r\n表5. TOBIT迴歸結果表 37\r\n表6. COUNT TIME DATA估計表(1) 40\r\n表7. COUNT TIME DATA估計表(2) 41\r\n表8. 資料比對表–時報鷹 45\r\n表 9. 資料比對表–味全龍、三商虎 46\r\n表10. 資料比對表–誠泰龍、中信鯨 47\r\n\r\n附錄 53\r\n附表 1. 職棒年度球隊存續表 53\r\n附表 2. 歷年文獻投入分類表 55\r\n附表 3. 歷年文獻產出分類表 57\r\n附表4. 歷年文獻研究目的整理表<中華職棒> 60\r\n附表 5. 歷年文獻研究目的整理表<美國職棒> 62\r\n附圖1. 中華職棒球隊存續圖 63\r\n附圖2. 歷年總效率走勢圖 63\r\n附圖3. 投手平均實質薪資走勢圖 64\r\n附圖4. 野手平均實質薪資走勢圖 64zh_TW
dc.language.isoen_US-
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#G0097255028en_US
dc.subject職業棒球zh_TW
dc.subjectDEA效率分析zh_TW
dc.subject績效分析zh_TW
dc.subjectTobit迴歸分析zh_TW
dc.subject存活分析zh_TW
dc.title台灣職業棒球之「市場法則—球隊效率與存活zh_TW
dc.titleTaiwanese professional baseball’s “the rules of the market” - the team efficiency and survivalen_US
dc.typethesisen
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