IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/49062.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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 .

Suggested Citation

  • Sani Ibrahim, Mr. Saifullahi & Muhammad, Mr. Abubakar, 2013. "Information and Communication Technology and Bank Performance in Nigeria: A Panel Data Analysis," MPRA Paper 49062, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:49062
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/49062/1/MPRA_paper_49062.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michael Adusei, 2013. "Finance-Growth Nexus in Africa: A Panel Generalized Method of Moments (GMM) Analysis," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(10), pages 1314-1324.
    2. Miguel D. Ramirez & Hari Sharma, 2009. "Remittances and Growth in Latin America: A Panel Unit Root and Panel Cointegration Analysis," Estudios Economicos de Desarrollo Internacional, Euro-American Association of Economic Development, vol. 9(1).
    3. Lupi, Claudio, 2011. "Panel-CADF Testing with R: Panel Unit Root Tests Made Easy," Economics & Statistics Discussion Papers esdp11063, University of Molise, Department of Economics.
    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. Michael Adusei, 2013. "Finance-Growth Nexus in Africa: A Panel Generalized Method of Moments (GMM) Analysis," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(10), pages 1314-1324, October.
    6. Peter Pedroni, 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(S1), pages 653-670, November.
    7. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    8. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    9. Lin, Bou-Wen, 2007. "Information technology capability and value creation: Evidence from the US banking industry," Technology in Society, Elsevier, vol. 29(1), pages 93-106.
    10. G. S. Maddala & Shaowen Wu, 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(S1), pages 631-652, November.
    11. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    12. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    13. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:ers:journl:v:volumexxi:y:2018:i:issue4:p:435-458 is not listed on IDEAS
    2. R.M. Mahboub, 2018. "The Impact of Information and Communication Technology Investments on the Performance of Lebanese Banks," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 435-458.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. José Abraham López Machuca & Jorge Eduardo Mendoza Cota, 2017. "Salarios, desempleo y productividad laboral en la industria manufacturera mexicana. (Wage, Unemployment and Labor Productivity in the Mexican Manufacturing Industry)," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 185-228, October.
    2. Ronald MacDonald & Flávio Vieira, "undated". "A panel data investigation of real exchange rate misalignment and growth," Working Papers 2010_13, Business School - Economics, University of Glasgow.
    3. Revoredo-Giha, Cesar & Leat, Philip M.K. & Renwick, Alan W., 2012. "The relationship between output and unemployment in Scotland: A regional analysis," Working Papers 131465, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.
    4. Gharehgozli, Orkideh, 2021. "An empirical comparison between a regression framework and the Synthetic Control Method," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 70-81.
    5. Sung, Bongsuk & Song, Woo-Yong & Park, Sang-Do, 2018. "How foreign direct investment affects CO2 emission levels in the Chinese manufacturing industry: Evidence from panel data," Economic Systems, Elsevier, vol. 42(2), pages 320-331.
    6. Dobnik, Frauke, 2011. "Energy Consumption and Economic Growth Revisited: Structural Breaks and Cross-section Dependence," Ruhr Economic Papers 303, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    7. Somesh K. Mathur & Rahul Arora & Ishita Ghoshal & Sarbjit Singh, 2016. "Domestic Energy Consumption and Country’s Income Growth: A Quantitative Analysis of Developing and Developed Countries Using Panel Causality, Panel VECM, Panel Cointegration and SURE," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(1), pages 87-116, June.
    8. Alessio Ciarlone, 2019. "The relationship between financial development and growth: the case of emerging Europe," Questioni di Economia e Finanza (Occasional Papers) 521, Bank of Italy, Economic Research and International Relations Area.
    9. Costantini, Valeria & Martini, Chiara, 2010. "The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data," Energy Economics, Elsevier, vol. 32(3), pages 591-603, May.
    10. Ardeshiri, Mansour & Moghaddasi, Reza & Yazdani, Saeed & Mohamadinejad, Amir, 2019. "Trade Openness and Spatial Distribution of Manufacturing Industries: Iranian Provincial Evidence," Asian Journal of Applied Economics/ Applied Economics Journal, Kasetsart University, Faculty of Economics, Center for Applied Economic Research, vol. 26(1), pages 21-44, June.
    11. Rudra P. Pradhan & Mak B. Arvin & Sahar Bahmani & Sara E. Bennett & John H. Hall, 2017. "Insurance–growth nexus and macroeconomic determinants: evidence from middle-income countries," Empirical Economics, Springer, vol. 52(4), pages 1337-1366, June.
    12. Neelu Seetaram & Sylvain Petit, 2012. "Panel data analysis in Tourism Research," Post-Print hal-01831529, HAL.
    13. Khan , M. Zakir Saadullah & Hossain, M. Ismail, 2012. "Determinants of Trade Balance of Bangladesh: A Dynamic Panel Data Analysis," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 35(2), pages 45-65, June.
    14. Qu, Weihua & Qu, Guohua & Zhang, Xindong & Robert, Dixon, 2021. "The impact of public participation in environmental behavior on haze pollution and public health in China," Economic Modelling, Elsevier, vol. 98(C), pages 319-335.
    15. Hu, Yi & Xiao, Jin & Deng, Ying & Xiao, Yi & Wang, Shouyang, 2015. "Domestic air passenger traffic and economic growth in China: Evidence from heterogeneous panel models," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 95-100.
    16. Karikallio, Hanna, 2015. "Cross-commodity Price Transmission and Integration of the EU Livestock Market of Pork and Beef: Panel Time-series Approach," 2015 Conference, August 9-14, 2015, Milan, Italy 211832, International Association of Agricultural Economists.
    17. Saadaoui, Jamel, 2012. "Déséquilibres globaux, taux de change d’équilibre et modélisation stock-flux cohérente [Global Imbalances, Equilibrium Exchange Rates and Stock-Flow Consistent Modelling]," MPRA Paper 51332, University Library of Munich, Germany.
    18. R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.
    19. Tarik Dogru & Umit Bulut & Ercan Sirakaya-Turk, 2021. "Modeling tourism demand: Theoretical and empirical considerations for future research," Tourism Economics, , vol. 27(4), pages 874-889, June.
    20. Frauke Dobnik, 2011. "Energy Consumption and Economic Growth Revisited: Structural Breaks and Cross-section Dependence," Ruhr Economic Papers 0303, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.

    More about this item

    Keywords

    Bank; financial system panel data; information and communication technology;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:49062. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.