IDEAS home Printed from https://ideas.repec.org/a/spt/apfiba/v9y2019i5f9_5_9.html
   My bibliography  Save this article

Do Private Commercial Banks Outperform State-owned Commercial Banks? Empirical Evidence from Bangladesh

Author

Listed:
  • Md Golzare Nabi
  • Md. Aminul Islam
  • Rosni Bakar

Abstract

The paper seeks to measure and compare the performance of state-owned commercial banks, conventional private commercial banks and Islamic commercial banks operating in Bangladesh during 2009-2014 using the Data Envelopment Analysis (DEA). It uses a sample of 19 commercial banks comprising four state-owned banks, ten conventional private commercial banks and five Islamic commercial banks. The paper shows that the average technical efficiency scores of state-owned banks, conventional private banks and Islamic banks are 0.8592, 0.9419 and 0.9569 respectively. This means that state-owned banks experience highest inefficiency of 14.08% followed by conventional private commercial banks (5.81%) and Islamic banks (4.42%). It is also found that state-owned banks and Islamic banks face technical inefficiency due mainly to scale inefficiency while technical inefficiency of conventional private commercial banks is attributed mainly to pure technical inefficiency. The efficiency results suggest that state-owned commercial banks and Islamic banks need to improve their technical by enhancing scale efficiency. Conventional private banks may improve their technical efficiency by upgrading managerial performance.JEL Classifications Numbers: C14, C61, G21Keywords: Efficiency, Data Envelopment Analysis, Commercial Banks, Bangladesh.

Suggested Citation

  • Md Golzare Nabi & Md. Aminul Islam & Rosni Bakar, 2019. "Do Private Commercial Banks Outperform State-owned Commercial Banks? Empirical Evidence from Bangladesh," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(5), pages 1-9.
  • Handle: RePEc:spt:apfiba:v:9:y:2019:i:5:f:9_5_9
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/JAFB%2fVol%209_5_9.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thorsten Beck & Asli Demirgüç-Kunt & Maria Soledad Martinez Peria, 2008. "Banking Services for Everyone? Barriers to Bank Access and Use around the World," The World Bank Economic Review, World Bank, vol. 22(3), pages 397-430, November.
    2. Koetter, Michael & Karmann, Alexander & Fiorentino, Elisabetta, 2006. "The cost efficiency of German banks: a comparison of SFA and DEA," Discussion Paper Series 2: Banking and Financial Studies 2006,10, Deutsche Bundesbank.
    3. Hassan, M. Kabir, 2006. "The X-Efficiency In Islamic Banks," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 13, pages 50-78.
    4. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    5. M. Kabir Hassan & Mervyn K. Lewis (ed.), 2007. "Handbook of Islamic Banking," Books, Edward Elgar Publishing, number 3621.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    8. Robert G. King & Ross Levine, 1993. "Finance and Growth: Schumpeter Might Be Right," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 717-737.
    9. Piyu Yue, 1992. "Data envelopment analysis and commercial bank performance: a primer with applications to Missouri banks," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 31-45.
    10. Drake, Leigh & Hall, Maximilian J. B., 2003. "Efficiency in Japanese banking: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 27(5), pages 891-917, May.
    11. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    12. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    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. Md Reiazul Haque & Md Nurul Islam Sohel, 2019. "Are Islamic Banks Less Efficient than other Banks? Evidence from Bangladesh," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 9(10), pages 1136-1146, October.

    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. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    2. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    3. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2017. "A comparison of DEA and SFA using micro- and macro-level perspectives: Efficiency of Chinese local banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 216-223.
    4. Benjamin Miranda Tabak & Daniel Oliveira Cajueiro & Marina V. B. Dias, 2014. "The Efficiency of Chinese Local Banks: A comparison of DEA and SFA," Working Papers Series 346, Central Bank of Brazil, Research Department.
    5. Miguel SARMIENTOO & Andrés CEPEDA & Hernando MUTIS & Juan F. PÉREZ, 2013. "Nueva Evidencia sobre la Eficiencia de la Banca," Archivos de Economía 10705, Departamento Nacional de Planeación.
    6. Головань С.В. & Назин В.В. & Пересецкий А.А., 2010. "Непараметрические Оценки Эффективности Российских Банков," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 46(3), июль.
    7. Havranek, Tomas & Irsova, Zuzana & Lesanovska, Jitka, 2016. "Bank efficiency and interest rate pass-through: Evidence from Czech loan products," Economic Modelling, Elsevier, vol. 54(C), pages 153-169.
    8. Luiz Chabalgoity & Emerson Marinho & Mauricio Benegas & Paulo de M. Jorge Neto, 2005. "The Impact Of De-Regulamentation On The Brazilian Banking Industry: A Production Metafrontier Approach," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33rd Brazilian Economics Meeting] 093, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    9. Yun Liao, 2024. "Super-efficiency and Stock Market Valuation: Evidence from Listed Banks in China (2006 to 2023)," Papers 2407.14734, arXiv.org.
    10. Prakash, Navendu & Singh, Shveta & Sharma, Seema, 2021. "Technological diffusion, banking efficiency and Solow's paradox: A frontier-based parametric and non-parametric analysis," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 534-551.
    11. Daraio, Cinzia & Kerstens, Kristiaan & Nepomuceno, Thyago & Sickles, Robin C., 2019. "Empirical Surveys of Frontier Applications: A Meta-Review," Working Papers 19-005, Rice University, Department of Economics.
    12. Adriana Cobas & Alexandros Maziotis & Andrés Villegas, 2023. "Measurement of Efficiency and its Drivers in the Chilean Banking Industry," Working Papers Central Bank of Chile 987, Central Bank of Chile.
    13. Haider Alzubaidi & Spiros Bougheas, 2012. "The Impact of the Global Financial Crisis on European Banking Efficiency," Discussion Papers 12/05, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    14. Tan, Yong & Anchor, John, 2017. "The impacts of risk-taking behaviour and competition on technical efficiency: Evidence from the Chinese banking industry," Research in International Business and Finance, Elsevier, vol. 41(C), pages 90-104.
    15. Chiu, Yung-ho & Luo, Zhengying & Chen, Yu-Chuan & Wang, Zebin & Tsai, Min-Pei, 2013. "A comparison of operating performance management between Taiwan banks and foreign banks based on the Meta-Hybrid DEA model," Economic Modelling, Elsevier, vol. 33(C), pages 433-439.
    16. Qayyum, Abdul & Ahmed, Munir, 2006. "Efficiency and Sustainability of Micro Finance Institutions in South Asia," MPRA Paper 85467, University Library of Munich, Germany, revised 2014.
    17. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    18. K. Ravirajan & K. R. Shanmugam, 2023. "Determinants of Efficiency of Commercial Banks in India after Global Crises," Working Papers 2023-250, Madras School of Economics,Chennai,India.
    19. Duc-Nguyen, Nguyen & Mishra, Anil V. & Daly, Kevin, 2023. "Variation in the competition − Efficiency nexus: Evidence from emerging markets," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 401-420.
    20. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.

    More about this item

    Keywords

    efficiency; data envelopment analysis; commercial banks; bangladesh.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    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:spt:apfiba:v:9:y:2019:i:5:f:9_5_9. 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: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.com/ .

    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.