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European banks’ technical efficiency and performance: do business models matter? The case of European co-operatives banks

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  • E. Avisoa

Abstract

This paper analyses the technical efficiency of European co-operative banks compared to European commercial banks from 2006 to 2014. For this we use the B-convexity method, an innovative approach in frontier efficient models estimation, to measure banks’ technical efficiency; we also analyse the influence of certain variables on the level of efficiency. Our findings show that: a) a principal component analysis indicates that cooperative banks’ balance sheet are oriented towards lending activities while commercial banks are more oriented towards securities and derivatives activities; b) on average, the technical efficiency of the banks in our sample significantly decreased between 2007 and 2009, before recovering markedly between 2010 and 2012 and stabilizing over the period 2013-2014; c) there is no significant difference in technical efficiency between European cooperative banks and commercial banks, although we observe a slight superiority of commercial banks; d) French cooperative banks have higher levels of technical efficiency than their European peers; and (e) technical efficiency is positively impacted by the banks’ size, suggesting that large banks tend to have higher technical efficiency than smaller banks. This is in line with a trend towards concentration to improve technical efficiency in the European banking sector.

Suggested Citation

  • E. Avisoa, 2016. "European banks’ technical efficiency and performance: do business models matter? The case of European co-operatives banks," Débats économiques et financiers 25, Banque de France.
    • Handle: RePEc:bfr:decfin:25
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    1. Carlos E. Cuevas & Klaus P. Fischer, 2006. "Cooperative Financial Institutions : Issues in Governance, Regulation, and Supervision," World Bank Publications - Books, The World Bank Group, number 7107.
    2. Emmanuelle Gurtner & Mireille Jaeger & Jean-Noël Ory, 2002. "Le statut de coopérative est-il source d’efficacité dans le secteur bancaire ?," Revue d'Économie Financière, Programme National Persée, vol. 67(3), pages 133-163.
    3. Epure, Mircea & Kerstens, Kristiaan & Prior, Diego, 2011. "Bank productivity and performance groups: A decomposition approach based upon the Luenberger productivity indicator," European Journal of Operational Research, Elsevier, vol. 211(3), pages 630-641, June.
    4. Mohamed Sassenou, 1992. "Économies de coûts dans les banques et les caisses d'épargne, impact de la taille et de la variété de produits," Revue Économique, Programme National Persée, vol. 43(2), pages 277-300.
    5. Altunbas, Y. & Gardener, E. P. M. & Molyneux, P. & Moore, B., 2001. "Efficiency in European banking," European Economic Review, Elsevier, vol. 45(10), pages 1931-1955, December.
    6. Dietsch, Michel & Lozano-Vivas, Ana, 2000. "How the environment determines banking efficiency: A comparison between French and Spanish industries," Journal of Banking & Finance, Elsevier, vol. 24(6), pages 985-1004, June.
    7. Ana Lozano-Vivas & Jesús Pastor & José Pastor, 2002. "An Efficiency Comparison of European Banking Systems Operating under Different Environmental Conditions," Journal of Productivity Analysis, Springer, vol. 18(1), pages 59-77, July.
    8. Brandouy, Olivier & Briec, Walter & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2010. "Portfolio performance gauging in discrete time using a Luenberger productivity indicator," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1899-1910, August.
    9. Jean-Paul Chavas & Walter Briec, 2012. "On economic efficiency under non-convexity," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 50(3), pages 671-701, August.
    10. Bülbül, Dilek & Schmidt, Reinhard H. & Schüwer, Ulrich, 2013. "Savings banks and cooperative banks in Europe," SAFE White Paper Series 5, Leibniz Institute for Financial Research SAFE.
    11. Barbara Casu & Philip Molyneux, 2003. "A comparative study of efficiency in European banking," Applied Economics, Taylor & Francis Journals, vol. 35(17), pages 1865-1876.
    12. Laurent Weill, 2004. "Measuring Cost Efficiency in European Banking: A Comparison of Frontier Techniques," Journal of Productivity Analysis, Springer, vol. 21(2), pages 133-152, March.
    13. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    14. Barros, Carlos P. & Chen, Zhongfei & Liang, Qi Bin & Peypoch, Nicolas, 2011. "Technical efficiency in the Chinese banking sector," Economic Modelling, Elsevier, vol. 28(5), pages 2083-2089, September.
    15. Bos, J.W.B. & Schmiedel, H., 2007. "Is there a single frontier in a single European banking market?," Journal of Banking & Finance, Elsevier, vol. 31(7), pages 2081-2102, July.
    16. Starrett, David A., 1972. "Fundamental nonconvexities in the theory of externalities," Journal of Economic Theory, Elsevier, vol. 4(2), pages 180-199, April.
    17. Altunbas, Yener & Evans, Lynne & Molyneux, Philip, 2001. "Bank Ownership and Efficiency," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 33(4), pages 926-954, November.
    18. Carlos Pestana Barros & Nicolas Peypoch & Jonathan Williams, 2010. "A note on productivity change in European cooperative banks: the Luenberger indicator approach," International Review of Applied Economics, Taylor & Francis Journals, vol. 24(2), pages 137-147.
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    More about this item

    Keywords

    European banking; cooperative banks; technical efficiency; B-convexity; non-parametric frontier approach.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General

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