IDEAS home Printed from https://ideas.repec.org/a/ssi/jouesi/v10y2022i2p319-332.html
   My bibliography  Save this article

Efficiency of banking sectors of the European Union. A comparative benchmarking analysis before and during the COVID-19 pand

Author

Listed:
  • Iwona Dorota Czechowska

    (University of Lodz, Poland)

  • Tomasz Florczak

    (University of Lodz, Poland)

Abstract

The banking industry is a crucial sector for any country's economic growth. Therefore, it is essential to study factors that affect bank performance as the findings of this research help regulators and managers make better decisions. Thus, the paper will aim to determine the efficiency level of the banking sectors of the 27 EU countries before and during the COVID-19 pandemic. The article applies the non-parametric Data Envelopment Analysis (DEA) method to measure the performance and efficiency of banking sectors belonging to 27 EU countries. The operationalisation of the objective/methodology will be done by using data from the Eurostat database. The authors will verify the research hypothesis that the number of efficient banking sectors in the EU during the COVID-19 pandemic is lower than before the pandemic. The research period covers years between 2008-2020. The hypothesis was verified negatively because the number of efficient banking sectors during the COVID-19 pandemic was higher than previously. The number of effective banking sectors in the research period wasn't constant. Six effective banking sectors operated in 2020 (the first year of the COVID-19 pandemic), one even more effectively than in 2019. Those effective ones in the entire study period were banking sectors from Cyprus, Luxembourg and Romania.

Suggested Citation

  • Iwona Dorota Czechowska & Tomasz Florczak, 2022. "Efficiency of banking sectors of the European Union. A comparative benchmarking analysis before and during the COVID-19 pand," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 10(2), pages 319-332, December.
    • Handle: RePEc:ssi:jouesi:v:10:y:2022:i:2:p:319-332
    DOI: 10.9770/jesi.2022.10.2(19)
    as

    Download full text from publisher

    File URL: https://jssidoi.org/jesi/uploads/articles/38/Czechowska_Efficiency_of_banking_sectors_of_the_European_Union_A_comparative_benchmarking_analysis_before_and_during_the_COVID19_pand.pdf
    Download Restriction: no
    File URL: https://jssidoi.org/jesi/article/1027
    Download Restriction: no
    File URL: https://libkey.io/10.9770/jesi.2022.10.2(19)?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Fakarudin Kamarudin & Fadzlan Sufian & Annuar Md. Nassir, 2016. "Global financial crisis, ownership and bank profit efficiency in the Bangladesh's state owned and private commercial banks," Contaduría y Administración, Accounting and Management, vol. 61(4), pages 705-745, Octubre-D.
    2. Sickles,Robin C. & Zelenyuk,Valentin, 2019. "Measurement of Productivity and Efficiency," Cambridge Books, Cambridge University Press, number 9781107036161, June.
    3. Barbara Casu & Philip Molyneux, 2003. "A comparative study of efficiency in European banking," Applied Economics, Taylor & Francis Journals, vol. 35(17), pages 1865-1876.
    4. Mirzaei, Ali & Moore, Tomoe & Liu, Guy, 2013. "Does market structure matter on banks’ profitability and stability? Emerging vs. advanced economies," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2920-2937.
    5. Leire San-Jose & Jose Luis Retolaza & Eric Lamarque, 2018. "The Social Efficiency for Sustainability: European Cooperative Banking Analysis," Sustainability, MDPI, vol. 10(9), pages 1-21, September.
    6. Roy, Saktinil & Kemme, David M., 2020. "The run-up to the global financial crisis: A longer historical view of financial liberalization, capital inflows, and asset bubbles," International Review of Financial Analysis, Elsevier, vol. 69(C).
    7. Sealey, Calvin W, Jr & Lindley, James T, 1977. "Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions," Journal of Finance, American Finance Association, vol. 32(4), pages 1251-1266, September.
    8. Lina Novickytė & Jolanta Droždz, 2018. "Measuring the Efficiency in the Lithuanian Banking Sector: The DEA Application," IJFS, MDPI, vol. 6(2), pages 1-15, 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. Kutlu, Levent & Sickles, Robin & Tsionas, Mike G., 2019. "Heterogeneous Decision-Making and Market Power," Working Papers 19-008, Rice University, Department of Economics.
    2. Abid Burki & G. S. K. Niazi, 2010. "Impact of financial reforms on efficiency of state-owned, private and foreign banks in Pakistan," Applied Economics, Taylor & Francis Journals, vol. 42(24), pages 3147-3160.
    3. Chih-Ching Yang, 2010. "Service, investment, and risk management performance in commercial banks," The Service Industries Journal, Taylor & Francis Journals, vol. 32(12), pages 2005-2025, December.
    4. 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.
    5. Alves, André Bernardo & Wanke, Peter & Antunes, Jorge & Chen, Zhongfei, 2020. "Endogenous network efficiency, macroeconomy, and competition: Evidence from the Portuguese banking industry," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    6. Meryem Duygun Fethi & Mohamed Shaban & Thomas Weyman-Jones, 2009. "Liberalisation, privatisation and the productivity of Egyptian banks: a non-parametric approach," The Service Industries Journal, Taylor & Francis Journals, vol. 31(7), pages 1143-1163, September.
    7. Eric Fosu Oteng-Abayie, 2017. "Technical efficiency and total factor productivity of rural banks in Ghana," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1366088-136, January.
    8. Mamatzakis, E & Koutsomanoli, A, 2009. "Risk in the EU banking industry and efficiency under quantile analysis," MPRA Paper 22492, University Library of Munich, Germany.
    9. Alexandre Momparler & Carlos Lassala & Domingo Ribeiro, 2013. "Efficiency in banking services: a comparative analysis of Internet-primary and branching banks in the US," Service Business, Springer;Pan-Pacific Business Association, vol. 7(4), pages 641-663, December.
    10. Anastasia I. Koutsomanoli‐Filippaki & Emmanuel C. Mamatzakis, 2011. "Efficiency under quantile regression: What is the relationship with risk in the EU banking industry?," Review of Financial Economics, John Wiley & Sons, vol. 20(2), pages 84-95, May.
    11. Yong Tan & Peter Wanke & Jorge Antunes & Ali Emrouznejad, 2021. "Unveiling endogeneity between competition and efficiency in Chinese banks: a two-stage network DEA and regression analysis," Annals of Operations Research, Springer, vol. 306(1), pages 131-171, November.
    12. Francesco Aiello & Graziella Bonanno, 2018. "Multilevel empirics for small banks in local markets," Papers in Regional Science, Wiley Blackwell, vol. 97(4), pages 1017-1037, November.
    13. Kontolaimou, Alexandra & Kounetas, Konstantinos & Mourtos, Ioannis & Tsekouras, Kostas, 2012. "Technology gaps in European banking: Put the blame on inputs or outputs?," Economic Modelling, Elsevier, vol. 29(5), pages 1798-1808.
    14. Anastasia Koutsomanoli-Filippaki & Dimitris Margaritis & Christos Staikouras, 2012. "Profit efficiency in the European Union banking industry: a directional technology distance function approach," Journal of Productivity Analysis, Springer, vol. 37(3), pages 277-293, June.
    15. Osuagwu, Eze Simpson & Isola, Wakeel & Nwaogwugwu, Isaac, 2018. "Measuring Technical Efficiency and Productivity Change in the Nigerian Banking Sector: A Comparison of non-parametric DEA and parametric SFA," MPRA Paper 112948, University Library of Munich, Germany.
    16. Udhayakumar, A. & Charles, V. & Kumar, Mukesh, 2011. "Stochastic simulation based genetic algorithm for chance constrained data envelopment analysis problems," Omega, Elsevier, vol. 39(4), pages 387-397, August.
    17. Michael O. Nyong, 2017. "Relative Efficiency of Commercial Banks in Nigeria: A Nonparametric Mathematical Optimization Analysis," Noble International Journal of Economics and Financial Research, Noble Academic Publsiher, vol. 2(2), pages 27-49, February.
    18. Feng, Guohua & Wang, Chuan, 2018. "Why European banks are less profitable than U.S. banks: A decomposition approach," Journal of Banking & Finance, Elsevier, vol. 90(C), pages 1-16.
    19. Subhash C. Ray, 2022. "Choice of Inputs and Outputs for Production Analysis," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 26, pages 1083-1116, Springer.
    20. Schure, Paul & Wagenvoort, Rien & O'Brien, Dermot, 2004. "The efficiency and the conduct of European banks: Developments after 1992," Review of Financial Economics, Elsevier, vol. 13(4), pages 371-396.

    More about this item

    Keywords

    banking sector; data envelopment analysis; Non-Parametric Approach; efficiency;
    All these keywords.

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: 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:ssi:jouesi:v:10:y:2022:i:2:p:319-332. 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: Manuela Tvaronaviciene (email available below). General contact details of provider: .

    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.