In this paper we aim to evaluate the relationship between bank efficiency and electronic payment systems in Iran. In this study we used the GMDH-neural network method as an instrument for complicated non- linear trends especially with the limited observations. We employed the model in a bid to delineate relationship between bank efficiency which was proxied by output of banks (net profit-average of inter-banks transactions ratio) and electronic payment system including Automated Teller Machines (ATM) - POS Terminals - Branch PIN Pads and we present two models for each type of banks ownership and a model for all banks in Iran and compare them. The results show that despite the fact that the payment systems are an easy access for everybody, they don’t have the same effects and some of them have double effects on bank efficiency in different situations.
Central Bank of Iran Web site, WWW.web.cbi.net/Simplelist /2571.aspx
2. Iranian Banking Institute, (2007), Inter- banking cash transfer, Electronic banking seminar (pp.1-10).
3. Informatics Services Company, (2004), the Modern Payment System in Iran (P.2).
4. Rahimi, masoud, (2007), Summary of Report of Settlement and Payment System
Development in Electronic Banking (PP.4-6)
5. SCOTT, D.E., and HUTCHINSON, C.E. (1976).” The GMDH Algorithm- A Technique for Economic Modeling.” Report No.ECE-SY-67-1, University of Massachusetts, Dep. of Computer Science.
6. N Nariman-Zadeh; A Darvizeh; G R Ahmad-Zadeh. (2003 )“Hybrid genetic design of GMDH-type neural networks using singular value decomposition for modeling and prediction of the explosive cutting process”, Journal of Engineering manufacture Proceedings of the I MECH E Part B, Volume: 217 Page: 779 -- 790.
7. K. Atashkari, N. Nariman-Zadeh, M. Gölcü, A. Khalkhali and A. Jamali,March (2007) "Modeling and multi-objective optimization of a variable valve-timing spark-ignition engine using polynomial neural networks and evolutionary algorithms", Energy Conversion and Management, Volume 48, Issue 3, , Pages 1029
8. N. Amanifard, N. Nariman-Zadeh, M. Borji, A. Khalkhali and A. Habibdoust, (2007) "Modeling and Pareto optimization of heat transfer and flow coefficients in micro channels using GMDH type neural networks and genetic algorithms", Energy Conversion and Management.
Copyright: © 2011 The Author(s)
Published by Knowledge Words Publications (www.kwpublications.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode
