Studying the Impact of Deferred Debts on Bank Performance by Using Data Envelopment Analysis
Subject Areas : Statistics
A. Gholam Abri
1
(
Department of Mathematics, Firoozkooh branch, Islamic Azad University, Firoozkooh, Iran
Corresponding author
)
Keywords: تحلیل پوششی داده ها, کارایی, بانک و ضریب بهره وری مالمکوئیس,
Abstract :
Performance evaluation has always been a challenging issue in management.The evaluation of performance especially during two past decades has attracted much attention because of its importance. Today, organizations try to measure the performance comparing with other competitors to be able to reach to a level of performance keeping them in market.Banks and financial institutions are considered as the most important economic sectors performing the trades and commercial transactions by guiding and conducting the payments and getting the money to spread the markets and develop economic growth and prosperity. Due to the importance of the task, the increase of productivity is a matter of high necessity.Data envelopment analysis is a nonparametric linear programming technique for evaluating the performance of Decision Making Units (DMU) by multiple inputs and multiple outputs.In this paper, we focus on the deferred debts and impact of it’s on bank performance. So, data envelopment analysis and statistical test are to present relation between deferred debts and efficiency used. The present research is to evaluate the performance of 40 bank branches in Iran. In order to achieve the goal, the performance of bank branches will be assessed by using Data Envelopment Analysis and GAMS software during 2013-2014 and based on the researches conducted.
[1] Anderson, P., Petersen, N.C.,1993. A pdrocedure for ranking efficient units in data envelopment. Analysis. Management Science 39, 1261-12.
[2] Banker, R.D., Charnes, A., Cooper, W.W., 1984. Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science 30, 1078-1092.
[3] Berger AN, Humphrey DB, 1997. Efficiency of financial institutions: international survey and directions for future research. European Journal of Operational Research, 98:175-212.
[4] Berger AN, 2007. International comparisons of banking efficiency, financial markets. Institutions and Instruments, 16:119-44.
[5] Charnes, A., Cooper, W.W., Rhodes, E., 1978. Measuring the efficiency of decision making units. European Journal of Operation Research 2, 429-444.
[6] Cooper, W., Seiford, L., Tone, K., 2002. Data envelopment analysis a comprehensive text with Models applications references, DEA solved software. Third Printing. By Kluwer academic publishers.
