Application of DEA in analyzing a bank's operating performance

This article takes 117 branches of a certain bank in Taiwan in 2006 as the research subject and introduces data envelopment analysis (DEA) to evaluate the operating performances of business units of this bank to provide the reference for a bank's managers in determining operation strategies. The result indicates that, in overall technical efficiency, the case bank has many inefficient branches distinctly; the average overall technical efficiency of branches is 54.8% and the average pure technical efficiency of branches is 67%, which is probably because of lower loan-to-deposit ratio, leading to excessive input waste. The average scale efficiency of the case bank during the sample period is 82%. The ratio of resource waste due to technical inefficiency is 45.2%, of which 55.03% is due to pure technical inefficiency.

[1]  Desheng Dash Wu,et al.  Using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank , 2006, Expert Syst. Appl..

[2]  Kweku-Muata Osei-Bryson,et al.  Increasing the discriminatory power of DEA in the presence of the sample heterogeneity with cluster analysis and decision trees , 2008, Expert Syst. Appl..

[3]  Quey-Jen Yeh The Application of Data Envelopment Analysis in Conjunction with Financial Ratios for Bank Performance Evaluation , 1996 .

[4]  Michael Norman,et al.  Data Envelopment Analysis: The Assessment of Performance , 1991 .

[5]  Seyed Mehdian,et al.  The Comparative Efficiency Performance of Small and Large US Commercial Banks in the Pre- and Post-Deregulation Eras , 1995 .

[6]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[7]  A. Bevan,et al.  Testing for inconsistencies in the estimation of UK capital structure determinants , 2004 .

[8]  So Young Sohn,et al.  Decision Tree based on data envelopment analysis for effective technology commercialization , 2004, Expert Syst. Appl..

[9]  R. Grabowski,et al.  Technical, Scale, and Allocative Efficiencies in U.S. Banking: An Empirical Investigation , 1990 .

[10]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[11]  Ping-wen Lin Cost Efficiency Analysis of Commercial Bank Mergers in Taiwan , 2002 .

[12]  Jeewon Choi,et al.  A framework for benchmarking service process using data envelopment analysis and decision tree , 2007, Expert Syst. Appl..

[13]  C. Lovell,et al.  The impact of liberalization on the productive efficiency of Indian commercial banks , 1997 .

[14]  Rasoul Rezvanian,et al.  An empirical test of association between production and financial performance: the case of the commercial banking industry , 1994 .

[15]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[16]  Thomas F. Siems Quantifying management's role in bank survival , 1992 .