IDEAS home Printed from https://ideas.repec.org/a/eco/journ1/2023-04-10.html
   My bibliography  Save this article

Profit Efficiency of Bangladeshi Banks: A Stochastic Frontier Approach

Author

Listed:
  • Khondokar Jilhajj

    (Department of Banking and Insurance, University of Dhaka, Bangladesh.)

Abstract

This paper examines the profit efficiency of the banks in Bangladesh using the stochastic frontier analysis. The paper is prepared based on the secondary data only and the sample contains data from 25 banks including state owned and private conventional banks in Bangladesh from the year 2011 to 2020. Translog function has been employed to construct the profit function and Battese and Coelli 1995 (BC95) model has been used to determine the profit efficiency. The efficiency performance reveals that, on average, banks in Bangladesh are 80.73% profit efficient. Dutch-Bangla Bank Limited (DBBL) is the most profit efficient banks with a score of 92.56% in 2020. While Dhaka Bank is the least profit efficient banks with a score of 15.42%. Banks belong to the 3rd and 2nd generation are the most profit efficient. Besides, none of the inefficiency determinant is statistically significant to explain variation in the profit inefficiency as the dataset is small and only limited to Bangladeshi banks. Moreover, diagnostic tests such as Normality test, M3T statistics test and Likelihood Ratio (LR) test have been performed to confirm the existence of inefficiency. This report shall provide important insight of state owned and private conventional banks in Bangladesh to the managements, regulators and other concerned parties.

Suggested Citation

  • Khondokar Jilhajj, 2023. "Profit Efficiency of Bangladeshi Banks: A Stochastic Frontier Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 13(4), pages 73-83, July.
  • Handle: RePEc:eco:journ1:2023-04-10
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijefi/article/download/14420/7359
    Download Restriction: no

    File URL: https://www.econjournals.com/index.php/ijefi/article/view/14420
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Akhigbe, Aigbe & McNulty, James E., 2003. "The profit efficiency of small US commercial banks," Journal of Banking & Finance, Elsevier, vol. 27(2), pages 307-325, February.
    2. 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)

    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. Tabak, Benjamin M. & Miranda, Rogério Boueri & Fazio, Dimas M., 2013. "A geographically weighted approach to measuring efficiency in panel data: The case of US saving banks," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3747-3756.
    2. Francesco Aiello & Graziella Bonanno, 2018. "On The Sources Of Heterogeneity In Banking Efficiency Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 194-225, February.
    3. Golovan, Sergei, 2006. "Factors Influencing the Efficiency of the Russian Banks Performance," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 2(2), pages 3-17.
    4. Guohua Feng & Apostolos Serletis, 2009. "Efficiency and productivity of the US banking industry, 1998-2005: evidence from the Fourier cost function satisfying global regularity conditions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 105-138.
    5. Franz R. Hahn, 2005. "Determinants of Bank Profitability in Austria. A Micro-Macro Approach," WIFO Studies, WIFO, number 25688, February.
    6. Tai-Hsin Huang & Kuan-Chen Chen & Chien-Hsiu Lin & Ming-Tai Chung, 2014. "Consistent estimation of technical and allocative efficiencies for a semiparametric stochastic cost frontier with shadow input prices," Journal of Productivity Analysis, Springer, vol. 41(2), pages 307-320, April.
    7. Hall, Maximilian J.B. & Kenjegalieva, Karligash A. & Simper, Richard, 2012. "Environmental factors affecting Hong Kong banking: A post-Asian financial crisis efficiency analysis," Global Finance Journal, Elsevier, vol. 23(3), pages 184-201.
    8. Francesco Aiello & Graziella Bonanno, 2016. "Efficiency in banking: a meta-regression analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 112-149, January.
    9. Faraji Dizaji , Sajjad, 2013. "Financial Sanctions and Iranian Banks' Performance," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 8(4), pages 99-136, October.
    10. Qayyum, Abdul & Ahmad, Munir, 2006. "Efficiency and Sustainability of Micro Finance," MPRA Paper 11674, University Library of Munich, Germany.
    11. Maximilian J. B. Hall & Karligash Kenjegalieva & Richard Simper, 2010. "Accounting for environmental factors, bias and negative numbers in efficiency estimation: A bootstrapping application to the Hong Kong banking sector," Discussion Paper Series 2010_03, Department of Economics, Loughborough University, revised Feb 2010.
    12. Richard E.O Pearce & Abdullah Bah, 2024. "Estimation of Efficiency and the Effect of Access to Finance on Efficiency of Small and Medium Enterprises (SMES) in the Western area of Sierra Leone," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 14(1), pages 1-1.
    13. Francesca Pampurini & Anna Grazia Quaranta, 2018. "Sustainability and Efficiency of the European Banking Market after the Global Crisis: The Impact of Some Strategic Choices," Sustainability, MDPI, vol. 10(7), pages 1-16, June.
    14. Cho, Tsui-Yueh & Chen, Yi-Shuan, 2021. "The impact of financial technology on China’s banking industry: An application of the metafrontier cost Malmquist productivity index," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    15. Franz R. Hahn, 2004. "Measuring Performance. A Multiple-Stage Approach," WIFO Working Papers 228, WIFO.
    16. 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).
    17. Margono, Heru & Sharma, Subhash C. & Melvin II, Paul D., 2010. "Cost efficiency, economies of scale, technological progress and productivity in Indonesian banks," Journal of Asian Economics, Elsevier, vol. 21(1), pages 53-65, February.
    18. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
    19. Hasan, Iftekhar & Lozano-Vivas, Ana, 2002. "Organizational Form and Expense Preference: Spanish Experience," Bulletin of Economic Research, Wiley Blackwell, vol. 54(2), pages 135-150, April.
    20. James McNulty & Marina Murdock & Nivine Richie, 2013. "Are commercial bank lending propensities useful in understanding small firm finance?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(4), pages 511-527, October.

    More about this item

    Keywords

    Profit efficiency; Stochastic frontier approach; Generation wise banks; Intermediate approach; Inefficiency; COVID-19;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • N25 - Economic History - - Financial Markets and Institutions - - - Asia including Middle East

    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:eco:journ1:2023-04-10. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.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.