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Evaluating Efficiency of Personnel in Nepalese Commercial Banks

Author

Listed:
  • Suvash Khanal

    (Kist College)

  • Bharat P. Bhatta

    (Sogn og Fjordane University College)

Abstract

The failure of large and reputable banks is creating a potential threat to depositors’ hard-earned money deposited in commercial banks (CBs). Therefore, evaluation of the risk-adjusted efficiency of CBs is crucial. This study evaluates the relative efficiency of CBs personnel with an unbalanced panel dataset of 21 Nepalese CBs based on their remunerations, financial performances, and risky behaviors using data envelopment analysis, the Malmquist productivity index, and simple regression analysis. In the first step analysis, various financial ratios regarding the firm performance were considered. In the second step analysis, efficiency scores estimated in the first step analysis were adjusted by risk variables. The study shows that relatively large banks were exploiting personnel expenses, but smaller-sized banks, recently established banks, and banks with fewer branches gained more efficiency from their size. Personnel efficiency had a positive influence on the market price of stock, but it also increased the volatility of stock prices. Negative growth of both productivity indices (i.e., with and without risk adjustment) suggests poor agency services delivered by personnel and decreasing healthy conduct of Nepalese CBs.

Suggested Citation

  • Suvash Khanal & Bharat P. Bhatta, 2017. "Evaluating Efficiency of Personnel in Nepalese Commercial Banks," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 23(4), pages 379-394, November.
  • Handle: RePEc:kap:iaecre:v:23:y:2017:i:4:d:10.1007_s11294-017-9654-8
    DOI: 10.1007/s11294-017-9654-8
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    1. David A Grigorian & Vlad Manole, 2006. "Determinants of Commercial Bank Performance in Transition: An Application of Data Envelopment Analysis," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 48(3), pages 497-522, September.
    2. Maniadakis, Nikolaos & Thanassoulis, Emmanuel, 2004. "A cost Malmquist productivity index," European Journal of Operational Research, Elsevier, vol. 154(2), pages 396-409, April.
    3. Hamid Mehran & Alan Morrison & Joel Shapiro, 2011. "Corporate governance and banks: what have we learned from the financial crisis?," Staff Reports 502, Federal Reserve Bank of New York.
    4. Joshua Kirkwood & Daehoon Nahm, 2006. "Australian Banking Efficiency and Its Relation to Stock Returns," The Economic Record, The Economic Society of Australia, vol. 82(258), pages 253-267, September.
    5. Shujie Yao & Zhongwei Han & Genfu Feng, 2008. "Ownership Reform, Foreign Competition, and Efficiency of Chinese Commercial Banks: A Non-Parametric Approach," WIDER Working Paper Series RP2008-38, World Institute for Development Economic Research (UNU-WIDER).
    6. 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.
    7. Mohsen Afsharian & Anna Kryvko & Peter Reichling, 2011. "Efficiency and Its Impact on the Performance of European Commercial Banks," FEMM Working Papers 110018, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    8. Shujie Yao & Zhongwei Han & Genfu Feng, 2008. "Ownership Reform, Foreign Competition and Efficiency of Chinese Commercial Banks: A Non‐parametric Approach," The World Economy, Wiley Blackwell, vol. 31(10), pages 1310-1326, October.
    9. Luo, Xueming, 2003. "Evaluating the profitability and marketability efficiency of large banks: An application of data envelopment analysis," Journal of Business Research, Elsevier, vol. 56(8), pages 627-635, August.
    10. N/A, 2004. "Index for 2004," European Union Politics, , vol. 5(4), pages 511-512, December.
    11. Banker, Rajiv D. & Chang, Hsihui & Lee, Seok-Young, 2010. "Differential impact of Korean banking system reforms on bank productivity," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1450-1460, July.
    12. Pasiouras, Fotios, 2008. "Estimating the technical and scale efficiency of Greek commercial banks: The impact of credit risk, off-balance sheet activities, and international operations," Research in International Business and Finance, Elsevier, vol. 22(3), pages 301-318, September.
    13. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers," Economic Journal, Royal Economic Society, vol. 92(365), pages 73-86, March.
    14. Levine,Ross Eric, 2004. "The Corporate Governance of Banks - a concise discussion of concepts and evidence," Policy Research Working Paper Series 3404, The World Bank.
    15. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    16. Tai–Hsin Huang & Mei–Hui Wang, 2002. "Comparison of Economic Efficiency Estimation Methods: Parametric and Non–parametric Techniques," Manchester School, University of Manchester, vol. 70(5), pages 682-709, September.
    17. Richard S. Barr & Kory A. Killgo & Thomas F. Siems & Sheri Zimmel, 1999. "Evaluating the productive efficiency and performance of U.S. commercial banks," Financial Industry Studies Working Paper 99-3, Federal Reserve Bank of Dallas.
    18. Fare, Rolf & Grosskopf, Shawna, 1992. "Malmquist Productivity Indexes and Fisher Ideal Indexes," Economic Journal, Royal Economic Society, vol. 102(410), pages 158-160, January.
    19. 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.
    20. Chen, Xiaogang & Skully, Michael & Brown, Kym, 2005. "Banking efficiency in China: Application of DEA to pre- and post-deregulation eras: 1993-2000," China Economic Review, Elsevier, vol. 16(3), pages 229-245.
    21. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
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    More about this item

    Keywords

    Data envelopment analysis; CEO and staff remuneration; Nepalese commercial banks; Corporate governance;
    All these keywords.

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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