||For retrospect 2008, the domestic commercial bank just getting rid of the shade of double c-cards , it is influenced but encountered the sub-prime mortgage turmoil in the United States and developed into a global financial crisis .Many banks booked losses on relevant financial investments one after another, eroding overall banking industry profit performance. In a situation that the financial affairs are pressing, therefore adopt employee too scarcity to mend , and the various types of methods to lower costs , divided by the operating type whether there is the foreign exchange units or not and organize adjustment, strengthen in risk management and accuse of being in charge of guaranteeing earning capacity ,etc.. It is the motive of this research whether the operating type and organization change etc that it will influence branch’’s operation performance. It evaluated the efficiency performance of these commercial banks according to the evaluation theory of Data Envelopment Analysis.|
This study was to present the evaluation of management efficiency to the125 domestic branches of the listing commercial banks of some government share in Taiwan. Some factors were selected as the “input items” such as the floor space, the numbers of employee and “output items” such as current deposit, regularity deposit , individual finance loans, enterprise finance loans and deduct surplus after preparing against dull, during the sample is the differentiation that was regarded as organization’’s adjustment in the 2006 and2008, use to compare the branch operational efficiency difference before and after the second stage of this commercial bank herein. The result shows this bank before and after different operation type and change organization, there is difference of showing to the behavior of branch’’s operational efficiency .
1. 高強、黃旭男和Toshiyuki Sueyoshi，2003，「管理績效評估－資料包絡分析法」，台北：華泰。
1. Aly, H. Y., Grabowski, R., Pasurka, C., and Rangan, N. (1990), “Technical, Scale and Allocative Effici-encies in U.S. Banking: An Empirical Investigation”, Review of Economics and Statistics, Vol. 72, 2, p.212-18.
2. Berg, S. A., Forsund F. R., Hjalmarsson L., and Suominen M. (1993), “Banking Efficiency in the Nordic Countries”, Journal of Banking and Finance, Vol. 17, p.371-388.
3. Berg, S. A., Forsund, F. R., and Jansen E. S. (1991), “Technical Efficiency of Norwegian Banks: The Non-Parametric Approach to Efficiency Measurement”, Journal of Productivity Analysis, Vol. 2, p.127-142.
4. Boussofiane, A., Dyson, R. G., and Thanassoulis, E. (1991), “Applied data envelopment analysis”, European Journal of Operational Research, Vol. 52, 1, p.1-15.
5. Camanho, A. S., and Dyson R. G. (1999), “Effciency, size, benchmarks and targets for bank branches: an application of data envelopment analysis”, The Journal of the Operational Research Society, Vol. 50, 9, p.903-915.
6. Chen, T. Y. and Yeh, T. L. (2000), “A Measurement of Bank Efficiency, Ownership and Productivity Changes in Taiwan”, The Service Industries Journal, Vol. 20, p.95-109.
7. Drake, L., and Howcroft, B. (1994), “Relative Efficiency in the Branch Network of a UK Bank: An empirical Study”, Omega, Vol.22, 1, p.83-90.
8. Haslem, J. A., Scheraga, C. A., and Bedingfield, J. P. (1999), “DEA Efficiency Profiles of U.S. Banks Opeating Internationally”, International Review of Economics and Finance, Vol. 8, p.165-182.
9. Lin, P. W. (2002), “The Efficiency of Commercial bank Mergers in Taiwan: An Envelopment Analysis”, International Journal of Management, Vol. 19, 2, p.334-342.
10. Yue, P. (1992), “Data envelopment Analysis and commercial Bank Performance: A Primer with Applications to Missouri Banks,” Federal Reserve Bank of ST. LOUIS, January/February, p.31-35.