The efficiency of bank branches

Article history: Received March 5, 2015 Received in revised format August 16 2015 Accepted September 31 2015 Available online October 9 2015 Banking industry has significant contribution in development of economies of developing countries. Most banks execute their operations through different branches. Therefore it is important to measure the relative efficiencies of these branches. Data envelopment analysis (DEA) is one of the most useful tools in measuring banks’ performance. The present paper aims to extract ranking pattern of banks based on performance evaluation using DEA analysis. In the present research, 120 bank branches of Bank Shahr in city of Tehran were selected and their efficiencies were evaluated using DEA technique. The results are discussed and compared with similar studies. Growing Science Ltd. All rights reserved. 5 © 201

[1]  M. Hall,et al.  Efficiency in Japanese banking: An empirical analysis , 2003 .

[2]  R. T. Zarinkamar,et al.  Bank branch operating efficiency: evaluation with data envelopment analysis , 2014 .

[3]  Stavros A. Zenios,et al.  Benchmarks of the Efficiency of Bank Branches , 1999, Interfaces.

[4]  A. Charnes,et al.  Data Envelopment Analysis Theory, Methodology and Applications , 1995 .

[5]  A. Shojaie,et al.  An empirical DEA investigation for development of new bank’s branches , 2015 .

[6]  Canan Yildirim Evolution of banking efficiency within an unstable macroeconomic environment: the case of Turkish commercial banks , 2002 .

[7]  Azam Ghotbuee,et al.  An empirical study based on BSC-DEA to measure the relative efficiencies of different health care centers in province of Semnan, Iran , 2012 .

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

[9]  S. Mehdian,et al.  The Impact of Internet Banking on the Performance of Romanian Banks: DEA and PCA Approach☆ , 2015 .

[10]  Allen N. Berger,et al.  The Efficiency of Bank Branches , 1997 .

[11]  Boaz Golany,et al.  Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions , 1985 .

[12]  Arnold Reisman,et al.  The effect of scale and mode of ownership on the financial performance of the Turkish banking sector: results of a DEA-based analysis , 2003 .

[13]  Peter F. Wanke,et al.  Two-stage DEA: An application to major Brazilian banks , 2014, Expert Syst. Appl..

[14]  Ioannis E. Tsolas,et al.  Incorporating risk into bank efficiency: A satisficing DEA approach to assess the Greek banking crisis , 2015, Expert Syst. Appl..

[15]  M. Soltanifar,et al.  An application of data envelopment analysis for measuring the relative efficiency in banking industry , 2014 .

[16]  A. Athanassopoulos Service quality and operating efficiency synergies for management control in the provision of financial services: Evidence from Greek bank branches , 1997 .

[17]  D. Giokas,et al.  A Study of the Relative Efficiency of Bank Branches: An Application of Data Envelopment Analysis , 1990 .

[18]  M. Oral,et al.  An empirical study on measuring operating efficiency and profitability of bank branches , 1990 .

[19]  R. Matousek,et al.  Efficiency in the Vietnamese banking system: A DEA double bootstrap approach , 2016 .

[20]  Jie Wu,et al.  Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA , 2014 .