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Information and Communication Technology and Bank Performance in Nigeria: A Panel Data Analysis

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  • Sani Ibrahim, Mr. Saifullahi
  • Muhammad, Mr. Abubakar

Abstract

This study examines the impact of Information and Communication Technology (ICT) on banks performance in Nigeria using annual panel data set over 2001 to 2011 periods. The data was analysed using panel unit root, panel cointegration, Fully Modified Ordinary Least Square (FMOLS) and Generalised Method of Moments (GMM) to reveals a positive impact of ICT on banks performance in the country. Therefore, the study concludes that cautious application of ICT apparatus will continue to enhance commercial banks performance in the country unless otherwise disrupted by externalities. The implication of this finding exposes the potentiality of cashless economy in Nigeria for strengthening the efficacy of financial system. Accordingly, the Central Bank of Nigeria’ cashless policy is an initiative at the right direction since it will help in minimising the cost of issuing currency in the fairly performing Nigerian economy. We recommend that there is the need for orienting the populace about the benefit of ICT product on banking operation in particular and the economy in general. In order to promote more patronage of ICT equipments on the one hand and enhance banking culture on the other hand, concerted efforts must be made to translate the ICT device language into the major local languages so that client can find it user-friendly at the midst of prevailing high rate of illiteracy in the country .

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 49062.

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Date of creation: 10 Jun 2013
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Handle: RePEc:pra:mprapa:49062

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Keywords: Bank; financial system panel data; information and communication technology;

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  1. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  2. Ramirez, Miguel D. & Sharma, Hari, 2008. "Remittances and Growth in Latin America: A Panel Unit Root and Panel Cointegration Analysis," Working Papers 51, Yale University, Department of Economics.
  3. Maddala, G S & Wu, Shaowen, 1999. " A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-52, Special I.
  4. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
  5. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
  6. Lupi, Claudio, 2011. "Panel-CADF Testing with R: Panel Unit Root Tests Made Easy," Economics & Statistics Discussion Papers esdp11063, University of Molise, Dept. EGSeI.
  7. Pedroni, Peter, 1999. " Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-70, Special I.
  8. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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