IDEAS home Printed from https://ideas.repec.org/a/ibn/ijefaa/v17y2025i2p55.html
   My bibliography  Save this article

Bank Specific, Banking Sector, Macroeconomic and Democratic Determinants of Bank Efficiency in CEMAC and WAEMU Countries

Author

Listed:
  • Mvono Essono Bertrand
  • Zomo Yebe Gabriel

Abstract

This article aims to accomplish two objectives- first, to measure the efficiency scores of banks in CEMAC and WAEMU, and to identify the factors that have influenced them over the period 2008 to 2022. To achieve these goals, we opted for a modelling framework combining the fixed-effect panel models with the stochastic frontier approach (SFA). Regarding the first objective, our results reveal that banks in the CEMAC and WAEMU countries have consistently operated beneath their optimal production capacity. As for the second objective, the findings suggest that certain bank-specific, banking sector and macroeconomic factors exert positive impact on bank efficiency, while others detract it. A close examination of democracy factors indicate their negative effect on the technical efficiency of CEMAC and WAEMU banks. However, when combining the results of the two zones (CEMAC + WAEMU), control of corruption emerges as the only significant factor contributing to diminished technical efficiency of banks. This study has the merit of presenting valuable empirical evidence to inform strategic decision-making by bankers, banking market regulators and public authorities on measures to improve technical efficiency, resilience and financial soundness within the banking sector.

Suggested Citation

  • Mvono Essono Bertrand & Zomo Yebe Gabriel, 2025. "Bank Specific, Banking Sector, Macroeconomic and Democratic Determinants of Bank Efficiency in CEMAC and WAEMU Countries," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 17(2), pages 1-55, February.
  • Handle: RePEc:ibn:ijefaa:v:17:y:2025:i:2:p:55
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ijef/article/download/0/0/51163/55532
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/ijef/article/view/0/51163
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tu DQ Le & Trang NT Ho & Dat T Nguyen & Thanh Ngo, 2022. "Intellectual capital – bank efficiency nexus: evidence from an emerging market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2127485-212, December.
    2. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    3. Joe S. Bain, 1951. "Relation of Profit Rate to Industry Concentration: American Manufacturing, 1936–1940," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 65(3), pages 293-324.
    4. Sufian, Fadzlan, 2009. "Determinants of bank efficiency during unstable macroeconomic environment: Empirical evidence from Malaysia," Research in International Business and Finance, Elsevier, vol. 23(1), pages 54-77, January.
    5. Bauer, Paul W. & Berger, Allen N. & Ferrier, Gary D. & Humphrey, David B., 1998. "Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods," Journal of Economics and Business, Elsevier, vol. 50(2), pages 85-114, March.
    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. Roland Banya & Nicholas Biekpe, 2018. "Banking efficiency and its determinants in selected frontier african markets," Economic Change and Restructuring, Springer, vol. 51(1), pages 69-95, February.
    2. Md. Asif Nawaz, 2021. "Impact of Specialization, Ownership Structure, and Size on Cost and Profit Efficiency of US Commercial and Savings Banks," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(3), pages 1-4.
    3. Wijesiri, Mahinda & Viganò, Laura & Meoli, Michele, 2015. "Efficiency of microfinance institutions in Sri Lanka: a two-stage double bootstrap DEA approach," Economic Modelling, Elsevier, vol. 47(C), pages 74-83.
    4. Isik, Ihsan & Uygur, Ozge, 2021. "Financial crises, bank efficiency and survival: Theory, literature and emerging market evidence," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 952-987.
    5. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    6. Sandrine Kablan & Ouidad Yousfi, 2015. "Performance of Islamic Banks across the World: An Empirical Analysis over the Period 2001-2008," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(1), pages 27-46.
    7. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    8. Barros, Carlos Pestana & Ferreira, Candida & Williams, Jonathan, 2007. "Analysing the determinants of performance of best and worst European banks: A mixed logit approach," Journal of Banking & Finance, Elsevier, vol. 31(7), pages 2189-2203, July.
    9. J. Cummins & Hongmin Zi, 1998. "Comparison of Frontier Efficiency Methods: An Application to the U.S. Life Insurance Industry," Journal of Productivity Analysis, Springer, vol. 10(2), pages 131-152, October.
    10. K. R. Shanmugam & A. Das, 2004. "Efficiency of Indian commercial banks during the reform period," Applied Financial Economics, Taylor & Francis Journals, vol. 14(9), pages 681-686.
    11. Kalbe Abbas & Manzoor Hussain Malik, 2008. "Impact of Financial Liberalisation and Deregulation on Banking Sector in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(3), pages 287-313.
    12. repec:ipg:wpaper:2014-448 is not listed on IDEAS
    13. Richard S. Barr & Kory A. Killgo & Thomas F. Siems & Sheri Zimmel, 1999. "Evaluating the productive efficiency and performance of U.S. commercial banks," Financial Industry Studies Working Paper 99-3, Federal Reserve Bank of Dallas.
    14. Fitzpatrick, Trevor & McQuinn, Kieran, 2004. "Cost Efficiency in UK and Irish Credit Institutions," Research Technical Papers 3/RT/04, Central Bank of Ireland.
    15. Fakarudin Kamarudin & Bany Ariffin Amin Nordin & Junaina Muhammad & Mohamad Ali Abdul Hamid, 2014. "Cost, Revenue and Profit Efficiency of Islamic and Conventional Banking Sector: Empirical Evidence from Gulf Cooperative Council Countries," Global Business Review, International Management Institute, vol. 15(1), pages 1-24, March.
    16. Cummins, J. David & Tennyson, Sharon & Weiss, Mary A., 1999. "Consolidation and efficiency in the US life insurance industry," Journal of Banking & Finance, Elsevier, vol. 23(2-4), pages 325-357, February.
    17. L. Cavallo & S.P.S. Rossi, 1999. "Do Environmental Variables Affect The Performance And Technical Efficiency Of The European Banking Systems? A Parametric Analysis Using The Stochastic Frontier Approach," Working Papers 4_1999, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
    18. Zouhaier Hadhek & Manel Frifita & Mosbah Lafi, 2018. "The Determinants of Profit Efficiency of Islamic Banks Using Stochastic Frontier Analysis Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 8(6), pages 20-29.
    19. Kablan, S & Yousfi, O, 2011. "Efficiency of islamic and conventional banks in countries with islamic banking," MPRA Paper 32951, University Library of Munich, Germany.
    20. Brown, Rayna, 2006. "Mismanagement or mismeasurement? Pitfalls and protocols for DEA studies in the financial services sector," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1100-1116, October.
    21. 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.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ijefaa:v:17:y:2025:i:2:p:55. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.