DETERMINANTS OF TECHNICAL EFFICIENCY OF THE BANKS LISTED ON THE VIETNAMESE STOCK EXCHANGE
DOI:
https://doi.org/10.53555/bma.v3i4.1720Keywords:
Technical efficiency, Commercial Banks, DEA, Technical efficiency, Commercial Banks, DEA, Vietnames Stock Exchange.Abstract
This paper investigates the efficiency of commercial banks listed on the Vietnamese Stock Exchange by using the methods of qualitation and quantitation. This qualitative analysis base on some financal indexs and is combined with the quantitative analysis by Data Enverlopment Analysis (DEA) and Tobit model. This panel data set consists of 38 banks with 114 observations for the period 2013-2015. There are three input variables such as deposit, fixed assets and labor costs and two output variables including return on interest and return out interest. Finally, the finding showed that the average technical efficency of 38 banks is 0,861 and efficency of cooperational commercial banks is higher efficency of state banks. The factors that impact on efficency of banks are rate of fixed assets and labor costs, rate of deposits and loans, rate of return on interest and revenues.
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Charnes, C. T. Clark, W. W. Cooper, and B. Golany, “A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in the U.S. air forces,” Annals of Operations Research, vol. 2, no. 1, pp. 95–112, 1985.
Reisman A (2003). “Data Envelopment Analysis: Preface to a Special Issue of Socio-Econ Plan Sci.” Socio-Econ Plan Sci 38: 115-121.
Ernest Ngeh Tingum & Moses A. Ofeh, (2017), Technical Efficiency of Manufaturing Firms in Cameroon: Sources and Determinants, International Journal of Financial Research, Volume 8, Number 03, 2017.
Battese G.E., & T. J. Coelli. (1995). A model for technical inefficiency effects in a stochastic production function for panel data. Empirical Economics, 20, 325-332.
https://doi.org/10.1007/BF01205442.
Surender Singh, S. K. Goyal, Supran Kumar Sharma, (2013), Technical efficiency and its determinants in microfinance institutions in India: a firm level analysis, Journal of Innovation Economics, Volume 1, Issue 1, 2013.
Amer, H. H. M., Moustafa, W. & Eldomiaty, T. (2011). Determinants of operating efficiency for lowly and highly competitive banks in Egypt. Cambridge Business & Economic Conference.
Ray, S. C and Das, A. (2014), Distribution of Cost and Profit Efficiency: Evidence from the Indian Banking, European Journal of Operational Research Casu, B,.andGirardone,C. (2004). An Analysis of the Relevance of Off-Balance Sheet Items in Explaining Productivity Change in European Banking. Money Macro and Finance (MMF) Research Group Conference 2004 37, Money Macro and Finance Research Group.
Njenga, B. W. (2012). Relationship between cost X-efficiency and financial performance of companies listed at the Nairobi Securities. Exchange. Unpublished MBA Project, University of Nairobi.
Paxton, J. (2003). Technical efficiency in Mexico’s popular savings and credit sector. Mexico. Sathye M (2003). Efficiency of Banks in a Developing Economy: the Case of India. European Journal of Operation Research, 148(3), 662-671
Bauer, P.W.; Berger, A.N.; Ferrier, G.D. and Humphrey, D.B. (1998). Consistency conditions for regulatory analysis of financial institutions: a comparison of frontier efficiency methods. Journal of Economics and Business. 50, 85-114
Benston, G.J., 1965, Branch banking and economies of scale, Journal of Finance, 20, 2, May, 312–331.
Gupta,O.K., Doshit,Y. and Chinnubhai, A.(2008) Dynamics of Productive efficiency of Indian Banks. International Journal of Operations Research 5, 2, 78-90.
Kumar, S., and Gulati, R., (2008), Evaluation of Technical Efficiency and Ranking of Public Sector Banks in India: An Analysis from Cross-sectional Perspective, International Journal of Productivity and Performance Management, 57,7,540-568.
Berger, A.N. and D.B. Humphrey, 1991, The dominance of inefficiencies over scale and product mix economies in banking, Journal of Monetary Economics, 28, 1, August, 117–148.
Cooper, W.W., Seiford, L.M. & Tone, K. (2007).Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software (Second Edition). New York: Springer Science + Business Media
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