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Performance Evaluation of Banks in India – A Shannon-DEA Approach

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Abstract (2. Language): 
Data Envelopment Analysis (DEA) is widely used in banking sector to measure the efficiency of the banks. This paper evaluates the performance of the banks in India using cost, revenue and profit models of DEA and comes out with a comprehensive efficiency index for banks, by combing the efficiency scores of various DEA models, using the Shannon entropy. In general, the banks included in this study are sound in terms of total assets, manpower, branch network etc., and they have been ranked based on their performance, which depends on optimal utilization of select variables. In order to measure the degree of agreement between rankings of banks based on three different models, namely cost, revenue and profit model, Kendall’s coefficient of concordance have been used. The study observes that Shannon-DEA approach provides a comprehensive efficiency index for banks and a reasonable way of ranking.
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REFERENCES

References: 

Adler, N., Friedman, L., and Sinuany-Stern, Z. (2002). Review of ranking methods in the data
envelopment analysis context. European Journal of Operational Research , 140, 249–265.
Andersen, P., and Petersen, N. C. (1993). A procedure for ranking efficient units in data
envelopment analysis. Management Science, 39, 1261–1264.
Banker, R.D., Charnes, A., and Cooper, W.W. (1984). Some Models for Estimating Technical
and Scale Inefficiencies in Data Envelopment Analysis. Management Science , 30, 1078-1092.
Berger, A. N. and Mester, L.J. (1997). Inside the black box: What explains differences in the
efficiencies of financial institutions? Journal of Banking & Finance , 21(7), 895-947.
Berger, A. N. (2007). International Comparisons of Banking Efficiency. Financial Markets,
Institutions & Instruments , 16 (3). 119-144.
Berger, A.N and Humphrey, D.B. (1997). Efficiency of financial institutions: International
survey and directions for future research. European Journal of Operational Research , 98 (2),
175–212.
Bian,Yiwen and Yang, Feng. (2010). Resource and environment efficiency analysis of
provinces in China: A DEA approach based on Shannon’s entropy. Energy Policy , 38, 1909–
1917.
Chakrabarty, K. C. (2013). Indian Banking Sector : Pushing the Boundaries. RBI Bulletin , (3),
17-22.
Charnes, A., Cooper, W. W., and Rhodes, E. (1978). Measuring the Efficiency of Decision
Making Units. European Journal of Operational Research , 2, 429-444.
Cooper, W.W., Sieford, L.M., and Tone, K. (2000). Data envelopment analysis: A
comprehensive text with models, applications, references and DEA solver software. Kluwer
Academic Publishers.
Das A and Kumbhakar, S.C. (2012). Productivity and efficiency dynamics in Indian banking:
An input distance function approach incorporating quality of inputs and outputs function
approach incorporating quality of inputs and outputs. Journal of Applied Econometrics , 27
(2), 205-234.
Das, A and Ghosh, S. (2006). Financial deregulation and efficiency: An empirical analysis of
Indian banks during post-reforms period. Review of Financial Economics , 15 (3), 193–221.
Das, A and Ghosh, S. (2009). Financial deregulation and profit efficiency: A nonparametric
analysis of Indian banks. Journal of Economic and Business , 61 (6), 509–28.
Das, A, Nag, A, and Ray, S.C. (2005). Liberalization, ownership and efficiency in Indian
banking: A non-parametric analysis. Economic and Political Weekly , 40 (12), 1190–1197.
Das, M. (2002). An objective Method for Ranking Nationalized Banks. Prajnan , XXXI (2), 111-
136.
A.R. JAYARAMAN & M.R.SRINIVASAN
Page | 68 EJBE 2014, 7 (13)
Fare, F, Grosskopf, S and Weber, W.L. (2004). The effect of risk-based capital requirements
on profit efficiency in banking. Applied Economics , 36:15, 1731-1743.
Jayaraman, A.R and Srinivasan, M.R. (2009). Relative Efficiency of Scheduled Commercial
Banks in India (2001-08) : A DEA Approach. Prajnan , XXXVIII (2).
Jayaraman, A.R and Srinivasan, M.R. (2014). Analyzing Profit Efficiency of Banks in India with
Undesirable Output - Nerlovian Profit Indicator Approach. IIMB Management Review ,
Elsiever Publications (Accepted for publication).
Kaur, Pardeep and Kaur, Gian . (2010). Impact of Mergers on the Cost Efficiency of Indian
Commercial Banks. Eurasian Journal of Business and Economics , 3 (5), 27-50.
Kumar, Sunil and Gulati, Rachita . (2008). An Examination of Technical, Pure Technical, and
Scale Efficiencies in Indian Public Sector Banks using Data Envelopment Analysis. Eurasian
Journal of Business and Economics , 1 (2), 33-69.
Drake, Leigh, Hall, Maximilian J.B. and Simper, Richard . (2009). Bank modelling
methodologies: A comparative non-parametric analysis of efficiency in the Japanese banking
sector. Journal of International Financial Markets, Institutions & Money , 19, 1-15.
doi:10.1016/j.intfin.2007.05.002.
Maudos, J and Pastor J, M. (2003). Cost and profit efficiency in the Spanish banking sector
(1985–1996): a non-parametric approach. Applied Financial Economics , 13(1), 1-12.
Mohan, R. (2005). Financial sector reforms in India: policies and performance analysis.
Economic and Political Weekly , 40, 1106-1119.
Nigmonov, Asror . (2010). Bank Performance and Efficiency in Uzbekistan. Eurasian Journal
of Business and Economics , 3 (5), 1-25.
Rachita Gulati and Sunil Kumar. (2011). Impact of non-traditional activities on the efficiency
of Indian banks: an empirical investigation. Macroeconomics and Finance in Emerging
Market Economies , 4(1), 125-166.
Ram Mohan, T.T and Ray, S.C. (2004, March 20). Comparing Performance of Public and
Private Sector Banks – A Revenue Maximization Efficiency Approach. Economic and Political
Weekly , pp. 1271-1276.
Ray, S and Das, A. (2010). Distribution of cost and profit efficiency: evidence from Indian
banking. European Journal of Operational Research , 201 (1), 297–307.
Ray, S. C. (2004). Data Envelopment Analysis – Theory and Techniques for Economics and
Operations Research. Cambridge University Press.
Ray, S.C. (2007). Are some Indian banks too large? An examination of size efficiency in Indian
banking. Journal of Productivity Analysis , 27, 41–56.
Resende, Joana and Silva, Elvira. (2007). A Profit Efficiency Perspective on the Future
Strategic Positioning of the Portuguese Banks. CEF.UP Working Papers, Faculdade de
Economia, Universidade do Porto , 1-32.
Shanmugam, K.R and Das, A. (2004). Efficiency of Commercial Banks during reforms period.
Applied Financial Economics , 14, 681-686.
Soleimani-damaneh, M. and Zarepisheh, M. (2009). Shannon’s entropy for combining the
efficiency results of different DEA models: Method and application. Expert Systems with
Applications , 36, 5146–5150.
Zhu, J. (2009). Quantitative Models for Performance Evaluation and Benchmarking Data
Envelopment Analysis with Spreadsheets. Springer Publishing.

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