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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/66110


    Title: 銀行業授信品質效率分析 - 以資料包絡法分析
    Authors: 嚴厚強;Yen,hou-chiang
    Contributors: 產業經濟研究所在職專班
    Keywords: 銀行;資料包絡分析法;授信品質;經營效率;TOBIT;Bank;DEA;Loan Quality;Management Efficiency;Tobit
    Date: 2014-10-28
    Issue Date: 2014-11-24 15:43:02 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 台灣在近20年經濟發展中,金融業一直扮演舉足輕重的角色,許多企業籌措資金都需仰賴銀行業,目前為止,銀行主要獲利來源還是來自授信放款業務,近年來,全球景氣危機不斷,台灣金融業也無法倖免,面臨到現今景氣低迷,銀行業獲利也受到衝擊。本研究將針對銀行授信品質效率作評估分析。

    本研究採用資料包絡分析法(Data Envelopment Analysis,DEA),來衡量銀行的授信績效,同時利用DEA 中的CCR 模式與BCC 模式,來探討無效率來源究係由純技術效率或規模效率所造成,並透過差額變數分析,建議無效率銀行在投入及產出項中提出可改善的空間。最後利用Tobit迴歸模型,分析其他變數對銀行授信品質效率的影響。

    本文實證結果分析顯示連續7年為相對有效率之銀行有兆豐國際商銀、萬泰商業銀行;連續6年為相對有效率之銀行有臺灣土地銀行。

    存放款比率、存放款利差對於效率值有1% 顯著正相關;流動準備比率對於效率值有5% 顯著正相關。是否為金控公司與分行家數對於效率值不顯著。
    ;Financial industry played an important role in economic development during past 20 years in Taiwan. Banks were relied on fund raising by many corporations. Because of that, loan and credit lending business create major profit on B/S sheet. However, due to economic crisis happened frequently around the world, bad debt affected the profitability of banking industry.

    This study adopts Date Envelopment Analysis (DEA) to measure the credit performance of the banks in Taiwan, and uses the CCR and BCC models to investigate the inefficiency source that could be the pure technical inefficiency or the scale inefficiency. Besides, through the slack variable analysis, a suggestion to the inefficient banks for improving these inputs and outputs is made. Finally, Tobit regression model is utilized to analyze the impacts of other variables on the efficiency of banks’ credit quality.

    The empirical analysis shows that the Mega International Commercial Bank and Cosmos Bank displayed relative efficacy for 7 years running, and the Land Bank of Taiwan displayed relative efficacy for 6 years running.

    Loan deposit ratio and the loan deposit spread on the efficiency value of 1% significant positive correlation, flow reserve ratio spreads on efficiency value of 5% significant positive correlation. However, whether the bank belongs to a holding group and the number of branches are both not significant on the efficiency values.
    Appears in Collections:[Executive Master of Industrial Economics] Electronic Thesis & Dissertation

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