摘要(英) |
This study uses 34 branches of case bank as the study object, this study aims to evaluate its efficiency changes, and discuss the impact of interest rate spread reduction on the efficiency of bank’s branches in the low rate environment. By using the dataset of 34 branches in case bank for the period from 2018 to 2020, we study following three stages
1. Stage One: Apply the data envelopment analysis for measuring the operating performance and efficiency of bank branches. From empirical results, above 70% of the branches are in a state of increasing returns of scale, which indicates that under current output level, bank branches did not reach economic benefits. In order to enhance overall operating efficiency and achieve optimal returns of scale, the results suggest that most of the branches should expand its scale of operation, meanwhile, increase the amount of bank services.
2. Stage Two: focus on examining factors that affect operating efficiency with the Tobit regression model. According to the case study, variable “deposit and loan spreads” has positive significant influence on technical efficiency. The bank’s branches should be able to adjust their operating strategy and product differentiation, in order to improve the performance in the low interest rate and spread reduction era.
3. Stage Three: uses banks reorganized according to credit cooperations as study object, also, adopts same method as case bank in phase one and two. Based on the empirical results, variable “deposit and loan ratio” has positive significant influence on technical efficiency. So as to react to the impact of low interest rate and spread reduction, adjusting capital structure and strengthen non-spread-income business should be an effective strategy.
According to previous discussion, our goal is to slow down the impact of reduction of interest rate margin and enhance bank branches’ efficiency and earning power. For example, case bank can diversify its management model, adjust its structure of earning power, optimize and integrate user experience, and develop new business services based on present level and at the same time, towards expanding business scale. |
參考文獻 |
中文文獻
[1] 吳毓佳,「台灣地區銀行業經營績效之評估DEA方法之應用」,銘傳大學,碩士論文,2000。
[2] 孫遜,資料包絡分析法:理論與應用,揚智文化,台北,民國九十三年。
[3] 楊蓁海,「我國存放款利差減少原因剖析與因應對策」,中央銀行期刊,第29卷,第2期,2007年6月。
[4] 謝坤民,「台灣產險業經營效率之研究-資料包絡法與Tobit之應用」,高雄應用科技大學學報,第38期,2009年5月。
[5] 林昌陞,「臺灣銀行分行經營績效之研究」,國立交通大學,碩士論文,2010。
[6] 陳昱宏、方顯光、蘇怡真,「台灣銀行業經營與財務績效分析」。華人經濟研究,第十卷,第二期,79-103頁,2012年9月。
[7] 陳德昌,「銀行組織變更對經營績效影響-以H銀行為例」,國立中央大學,碩士論文,2010。
[8] 陳淑華,「改制專業經理人政策對經營績效之影響-以T銀行兼營證券商為例」,淡江大學,碩士論文,2010。
[9] 江美菊,「相關係數面面觀」,國立政治大學,碩士論文,2013。
[10] 李昀庭,「利用多活動動態網絡資料包絡分析法評估台灣銀行績效」,國立台北科技大學,碩士論文,2014。
[11] 劉佩珊,「台灣地區銀行業經營績效之實證研究」,國立中興大學,碩士論文,2015。
[12] 陳偉蘋,「金融數位化浪潮下銀行之經營績效分析-以台灣商業銀行為例」,淡江大學,碩士論文,2017。
[13] 陳嘉銘,「銀行分行的效率分析:以上海銀行為例」,國立中央大學,碩士論文,2018。
[14] 黃進穎,「金融科技浪潮下銀行分行經營績效之探討-以個案銀行為例」,國立中央大學,碩士論文,2018。
[15] 方顯光、蔡宏翔,「金融海嘯後金控子銀行績效評估-運用資料包絡分析」。華人經濟研究,第十六卷,第一期,47-69頁,2018年3月。
[16] 汪震亞,「以資料包絡分析法評估歐盟銀行效率-考慮不良貸款」。經濟研究,第19期,2018年3月。
[17] 李純如,「台灣自來水公司所屬區管理處經營績效之探討:
採用資料包絡分析法」,中國科技大學,碩士論文,2018。
[18] 彭寶成等,「台灣民宿經營效率之研究」。應用經濟論叢,103期,2018年6月。
[19] 蔡采蓉,「應用資料包絡分析法探討電子商務產業經營效益-以台灣、香港、美國上市電商公司為例」,台中科技大學保險金融管理系研究所碩士論文,2020。
英文文獻
[20] Aly, Hassan Y, et al,”Technical, Scale, and Allocative Efficiencies in U.S. Banking: An Empirical Investigation.” The Review of Economics and Statistics, Vol.72, issue2, pp.211-218,1990.
[21] Banker, Charnes and Cooper,”Some Model for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis.” Management Science, Vol.30(9), pp.1078-1092, 1984.
[22] Barr,R.S., et al.,”Evaluating the Productive Efficiency and Performance of U.S. commercial banks.” Managerial Finance, Vol.2528, pp.8,3, 2002.
[23] Charnes,A. William W. Cooper and E. Rhodes,”Measuring the Efficiency of Decision Making Units.” European Journal of Operational Research, Vol.2,No.3, pp.429-444, 1987.
[24] Chen,T.Y. and Tsai, L.Y.,”A Measurement of Bank Efficiency, Ownership and Productivity Changes in Taiwan.” The Service Industries Journal, Vol.20, pp.95-105, 2000.
[25] Drake ,L. and M.J.B Hall,”Efficiency in Japanese banking: An Empirical Analysis.” Journal of Banking and Finance, Vol.27, pp.891-917,2003.
[26] Farrell,M.J.,”The Measurement of Productive Efficiency.” Journal of the Royal Statistical Society, Vol.120, pp.499-513,1957.
[27] George J. Benston,”Branch Banking and Economies of Scale.” The Journal of Finance, Vol.20, issue2, pp.312-331,1965.
[28] Hughes, J.P. and J.L. Mester,”A Quality and Risk-Adjusted Cost Function for Banks: Evidence on the Too-Big-Fail Doctrine.” Journal of Productivity Analysis, Vol.4, pp.299-315,1993.
[29] Ibrahim A., Al-Darrab,”Relationship between Productivity Efficiency, Utilization, and Quality.” Work Study, Vol.49, No.3, pp97-104(8), 2002.
[30] John Cummins and Hongmin Zi, “Comparison of Frontier Methods: An Application to the U.S. Life Insurance Industry.” Journal of Productivity Analysis, Vo.l10, issue2, 152pages, 1998.
[31] Miller,S.M. and A.G. Noulas, “The Technical Efficiency of Large Bank Production.” Journal of Banking and Finance, Vol.20, pp.495-509, 1996.
[32] Oral, M. O. Kettani and R. Yolalan, ”An Empirical Study on Analyzing the Productivity of Bank Branches.” IIE Transactions, 24(5), pp.166-176, 1992.
[33] Sherman H.D., ”Hospital Efficiency Measurement and Evaluation. Empirical Test of a New Technique.” Medical Care, Vol.22(10), pp.922-938, 1984.
[34] Sherman,H.D. and Gold,F, ”Bank Branch Operating Efficiency: Evaluation with Data Envelopment Analysis.” Journal of Banking and Finance, Vol.9, pp.297-315, 1985.
[35] Tobin,J., ”Estimation of Relationships for Limited Dependent Variables.” Econometrica: Journal of the Econometric Society, pp.24-36, 1985.
[36] Wasim I.M.Sultan and José Crispim(2018),”Are Public Hospitals Reforming Efficiently in West Bank?” Conflict and Health, 2018.
[37] Yue P.,”Data Envelopment Analysis and Commercial Bank Performance: A Primer with Applications to Missouri Banks.” Federal Reserve Bank of St. Louis Economic Reviews, Vol.74(1), pp.31-45,1992. |