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Measuring Bank Performance of Nepali Banks: A Data Envelopment Analysis (DEA) Perspective

  • Karan S. Thagunna

    (Kathmandu University, School of Management (KUSOM), Nepal.)

  • Shashank Poudel

    (Kathmandu University, School of Management (KUSOM), Nepal.)

Registered author(s):

    The aim of this study is to develop a performance model for measuring relative efficiency and potential improvement capabilities of Nepali banks by scrutinizing intermediation aspects. For measuring the efficiency and performance, this paper uses a relatively new frontier approach known as Data Envelopment Analysis (DEA). The paper uses two basic DEA models to fulfill its objectives. This paper seeks to measure and analyze the efficiency levels of banks in Nepal during 2007-08 to 2010-11. The study reveals that efficiency level is relatively stable and has increased on overall. Additionally, it also breaks down the overall efficiency of banks into technical and scale efficiency. This study found no significant relationship with efficiency level and ownership structure of banks and there were no notable differences in the efficiency levels of banks according to their asset size.

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    Article provided by Econjournals in its journal International Journal of Economics and Financial Issues.

    Volume (Year): 3 (2013)
    Issue (Month): 1 ()
    Pages: 54-65

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    Handle: RePEc:eco:journ1:2013-01-6
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    1. Bhattacharyya, Arunava & Lovell, C. A. K. & Sahay, Pankaj, 1997. "The impact of liberalization on the productive efficiency of Indian commercial banks," European Journal of Operational Research, Elsevier, vol. 98(2), pages 332-345, April.
    2. Sathye, Milind, 2001. "X-efficiency in Australian banking: An empirical investigation," Journal of Banking & Finance, Elsevier, vol. 25(3), pages 613-630, March.
    3. David A. Grigorian & Vlad Manole, 2002. "Determinants of Commercial Bank Performance in Transition; An Application of Data Envelopment Analysis," IMF Working Papers 02/146, International Monetary Fund.
    4. Rajiv D. Banker & Robert F. Conrad & Robert P. Strauss, 1986. "A Comparative Application of Data Envelopment Analysis and Translog Methods: An Illustrative Study of Hospital Production," Management Science, INFORMS, vol. 32(1), pages 30-44, January.
    5. Lewin, Arie Y & Morey, Richard C & Cook, Thomas J, 1982. "Evaluating the administrative efficiency of courts," Omega, Elsevier, vol. 10(4), pages 401-411.
    6. Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
    7. Allen N. Berger & David B. Humphrey, 1997. "Efficiency of financial institutions: international survey and directions for future research," Finance and Economics Discussion Series 1997-11, Board of Governors of the Federal Reserve System (U.S.).
    8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    9. Xavier Freixas & Jean-Charles Rochet, 1997. "Microeconomics of Banking," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061937, June.
    10. Sherman, H. David & Gold, Franklin, 1985. "Bank branch operating efficiency : Evaluation with Data Envelopment Analysis," Journal of Banking & Finance, Elsevier, vol. 9(2), pages 297-315, June.
    11. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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