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研究生: 林心忞
Hsin-min Lin
論文名稱: 銀行經營效率的比較分析—大中華市場的實證
Analysis of the efficiency of banking operations-The Study of Greater China market
指導教授: 徐中琦
Jon-chi Shyu
口試委員: 張順教
Shun-chiao Chang
張光第
Guang-di Chang
學位類別: 碩士
Master
系所名稱: 管理學院 - 財務金融研究所
Graduate Institute of Finance
論文出版年: 2010
畢業學年度: 98
語文別: 中文
論文頁數: 75
中文關鍵詞: 資料包絡分析法隨機邊界分析銀行效率
外文關鍵詞: DEA, SFA, efficiency
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  • 本研究依據Fried, Lovell, Schmidt and Yaisawarng (2002)提出的三階段資料包絡分析法,來評估2004年-2006年大中華地區59家銀行的績效表現,其中範圍包含4個國家:台灣、香港、新加坡以及中國大陸。這些銀行本身,即存在許多不同的環境干擾和條件差異,加上跨國的比較,又使他們之間的差異化更加明顯。所以,我們選取了重要的環境變數加以調整,在我們第二階段SFA分析,也證明了這些環境變數的確會影響銀行的效率。當我們區分出營運環境和統計干擾的影響,並調整投入項,則可發現第一階段DEA的結果和第三階段DEA的結果有很大的差異。經由我們實證顯示,在經過環境變數的調整後,各國相對效率值的變動方向明顯不同,顯示在資料包絡分析法中,三階段的應用確實有其必要性,而且各國調整後的效率值,較能真正反映銀行的經營管理效率。


    The study analyzes the efficiency of banking operations in Taiwan, Singapore, Hong Kong, and China between 2004 and 2006. It based on Fried, Lovell, Schmidt and Yaisawarng (2002) three-stage data envelopment analysis. There are many different environmental conditions between the banks, and cross-country comparison makes the difference more apparent. Therefore, we selected the key environmental variables to be adjusted. In our analysis of the second stage SFA, it proved that these environmental variables do affect the efficiency of banks. When we distinguish the operating environment and statistical interference, then adjust the input items, can be found the difference between the first stage DEA results and the third stage DEA results. The evidence shows that the three-stage application of data envelopment analysis is essential, and the value after adjusted can truly reflect the bank's operational efficiency.

    目錄 第一章、緒論 1 第一節、研究背景與動機 1 第二節、研究目的 3 第三節、論文架構 4 第二章、文獻回顧 6 第一節、DEA發展之文獻回顧 6 第二節、銀行效率的跨國比較之文獻回顧 7 第三章、研究方法 16 第一節、第一階段:DEA之績效評估 16 第二節、第二階段:利用SFA分解第一階段的差額值 18 第三節、第三階段:調整的DEA 20 第四節、超級效率模型(Super-efficiency Model) 21 第五節、Malmquist 生產力指數 23 第四章、實證結果與分析 27 第一節、研究對象與變數 27 第二節、銀行效率分析 33 第五章、結論與建議 69 第一節、結論 69 第二節、建議 71 參考文獻 72 表目錄 表1-1:金融服務業產值占GDP比重 2 表3-1:CCR、SBM、Super-SBM模型的資料和結果 21 表4-1:研究樣本 27 表4-2:2004年投入產出項之敘述統計表 30 表4-3:2005年投入產出項之敘述統計表 30 表4-4:2006年投入產出項之敘述統計表 30 表4-5:2004年投入產出項之Pearson相關係數表 31 表4-6:2005年投入產出項之Pearson相關係數表 31 表4-7:2006年投入產出項之Pearson相關係數表 32 表4-8:2004年第一階段DEA分析結果 33 表4-9:2005年第一階段DEA分析結果 35 表4-10:2006年第一階段DEA分析結果 37 表4-11:2004年第一階段DEA各國統計表 40 表4-12:2005年第一階段DEA各國統計表 41 表4-13:2006年第一階段DEA各國統計表 42 表4-14:第二階段SFA迴歸估計結果 43 表4-15:2004年第三階段DEA分析結果 44 表4-16:2005年第三階段DEA分析結果 46 表4-17:2006年第三階段DEA分析結果 48 表4-18:2004年第三階段DEA各國統計表 51 表4-19:2005年第三階段DEA各國統計表 52 表4-20:2006年第三階段DEA各國統計表 53 表4-21:第一階段與第三階段的比較 54 表4-22:第一階段與第三階段的差額變數分析 56 表4-23:Catch-up分析結果 57 表4-24:Catch-up各國統計表 60 表4-25:Frontier-shift分析結果 61 表4-26:Frontier-shift各國統計表 63 表4-27:Malmquist生產力指數分析結果 65 表4-28:Malmquist生產力指數各國統計表 67 圖目錄 圖1-1:研究流程圖 5 圖3-1:射線投入差額和非射線投入差額 18 圖3-2:生產可能集合P和效率前緣 22 圖3-3:生產可能集合P和效率前緣 22 圖3-4:超級效率 23 圖3-5:追趕效果 24

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