1.* Nand Kumar, Department of Humanities and Applied Sciences, Dehli Technical University, New Delhi, Delhi, India (nand.dce@gmail.com)
2.
Archana Singh, Delhi School of Management, Dehli Technical University, New Delhi, Delhi, India
In this paper an attempt has been made to review research conducted on the efficiency measurement and performance of the Indian banking sector. Many research have been performed over the past decade in the area of measuring efficiency of firms,companies,banks,and other decision making units.Studies in the past used conventional ratios such as return on assets to evaluate the efficiency. Most of these studies which look at the efficiency concentrate on cost ,profit ,income or revenue efficiencies.Later research in the area used various measure of performance which include financial index,a non parametric approach- Data Envelopment Approach(DEA) and parametric approach –Stochastic Production Approach (SPA).
Keywords
Efficiency; Data Envelopment Approach; BCC Model; CCR Model; Banking Sector
M. Al-Shammari A. Salimi, “Modeling the Operating Efficiency of Banks: A Nonparametric Methodology.” Logistics Information Management 11(1): 5-17, 1998
Athanasios G. Noulas, "Deregulation and operating efficiency: the case of the Greek banks", Managerial Finance, 27(8), pp.35 – 47, 2001
N. K. Avikaran, “Productivity Analysis in the service sector with Data Envelopment Analysis”, Third Edition Australia.
R. Banker, A. Charnes, W. W. Cooper, “Some models for estimating technical and scale inefficiencies in data envelopment analysis”, Management Science 30, 1078-1092, 1984
S. BERG, “Water Utility Benchmarking: Measurement, Methodology, and Performance Incentives”, London, UK: IWA Publishing, 2010. 172 p. ISBN: 9781843392729, 2010
A. N. Berger, D. B. Humphrey, “Efficiency of Financial institutions: international survey and Directions for Future Research”, The Wharton Financial institutions centre WP 97-05, 1997
Bhattacharya, C A K Lovell, P Sahay, “The Impact of Liberalisation on the Productive Efficiency of Indian Commercial Banks", European Journal of Operational Research, 98, 1997
A. Charnes, W. W. Cooper, E. Rhodes, “Measuring the efficiency of decision making units”, European Journal of Operational Research, 2(6), pp. 429-444
Chavas, Jean-Paul, T. L. Cox "On Nonparametric Supply Response Analysis" American Journal of Agricultural Economics 77(1995):80-92.
Chen TY, TL Yeh, “A Study of Efficiency Evaluation in Taiwan‟s Banks”, Int J Service Industry Management 9(5): 402, 1998
A. Cielen, L. Peeters, K. Vanhoof, “Bankruptcy prediction using a Data Envelopment Analysis”, Europian Journal of Operational Research; 154(2) 526-532, 2004
Feroz R. Papa, et al. “Bypassing a Kinase Activity with an ATP-Competitive Drug Science” 302, 1533 (2003);
A. Ghosh, P. R. Biswas, “Inter-Industrial Variation in Total Factor Productivity Growth of Manufacturing Sector of West Bengal: Evidence from a Non-Parametric Approach”, The Indian Economic Journal, 59 (July-Sept 2011), No. 2, pp. 29-50
G. Kloop, “The Analysis of Efficiency of Production Systems with multiple inputs and outputs”, Ph.D. thesis (University of Illinos at Chicago, Industrial and Systems Engineering College)
S. C. Kumbhakar, Sarkar, Subrata Deregulation, Ownership and Efficiency Change in Indian Banking: An Application of Stochastic Frontier Analysis, Arthaniti, 2(1-2), 1-26, 2003b
Kumbhakar, Subal C. Sarkar, Subrata, Deregulation, Ownership, and Productivity Growth: Evidence from Indian Banks, Journal of Money, Credit, and Banking, 35(3), 403-424, 2003a
H. Lim, C. R. Shumway, “Profit Maximization, Returns to Scale, and Measurement Error.”, The Review of Economics and Statistics 74(August 1992a), 3: 430-438
Mehmet HasanEkenSuleyman Kale, A J B M vol 5(3) PP 889-901, 4 Feb, 2011)
A. Radam, M. L. Abu, A. M. Abdullah, “Technical Efficiency of small and Medium Enterprise in Malaysia: A stochastic Frontier Production Model.” International Journal of Economics and Management, 2(2), pp. 395-408
Ram Mohan, T. T. “Deregulation and performance of public sector banks‟, Economic and Political Weekly 37 (5): 393-397.
Ram Mohan, T. T. (2003) „Long-run performance of public and private sector bank stocks‟, Economic and Political Weekly 38 (8): 785-788.
Sanjeev, Gunjan M, “Data envelopment analysis (DEA) for measuring Technical efficiency of banks”, Vision), 10(1), 2006.(Enlisted in Ebsco database).
Saranga Determinants of Operational Efficiencies in the Indian Pharmaceutical Industry", International Transactions in Operations Research, (2009) 16, pp.109-130 (with B.V. Phani), 2009
S. Sarkar, P. P. Chakraborty, S. K. Bhattacharya, S. Banerjee, “C-12-enrichment along intraformational unconformities within Proterozoic Bhander Limestone, Son valley, India and its implication. Carbonates and Evaporites 13(1): 108-114, 1998
M. Sathye, “X-efficiency in Australian banking: an empirical investigation”, Journal of Banking and Finance, 25, 613-630, 2001
Schmidt P and CAK Lovell, “A Comparison of Alternative Approaches to the Measurement of Productive Efficiency.” in Dogramaci A and F Rolf (eds.) Applications of Modern Production Theory: Efficiency and Productivity, Kluwer: 3-32, 1988
K. R. Shanmugam, A. Das, “Efficiency of Indian commercial banks during the reform period”, Applied Economics 14, pp 681-686
R. P. Sinha, B., Chatterjee, “Technical Efficiency Behaviour of Life Insurance Companies: A Dynamic Panel Approach”, The Indian Economic Journal, 59(1), (April-June 2011), pp. 143-161.
Tofallis C (2001). “Combining Two Approaches to Efficiency Assessment”, JORS 52(11): 1225-1231
Wu, D. (D), Z. Yang,, L. Liang,, “Efficiency Analysis of cross region Bank Branches using Fuzzy Data Analysis”, Appl. Math compvol.18, No.1, pp. 271-281.
Wu, D. (D), Z. Yang, L. Liang, “Using DEA.Nema Network Approach to evaluate Branch efficiency of a Large Canadian Bank. Expert syst App , 31(1), pp. 108-115, 2006 b