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A note on productivity change in European cooperative banks: the Luenberger indicator approach

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  • Carlos Pestana Barros
  • Nicolas Peypoch
  • Jonathan Williams

Abstract

The Luenberger productivity indicator is employed to estimate and decompose productivity change in a sample of cooperative banks operating in 10 EU member states. An average annualised productivity growth of 2.59% is reported between 1996 and 2003, though there is heterogeneity in growth rates across countries. Generally speaking, productivity growth is driven by technological change. However, cooperative banks in southern European banking markets benefit as much from efficiency growth or catching-up with industry best practice. The results suggest that technology sharing arrangements and greater competition arising from deregulation are positive contributors towards productivity change.

Suggested Citation

  • 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.
  • Handle: RePEc:taf:irapec:v:24:y:2010:i:2:p:137-147
    DOI: 10.1080/02692171003590047
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    References listed on IDEAS

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    1. Martin Cihak & Heiko Hesse, 2007. "Cooperative Banks and Financial Stability," IMF Working Papers 07/2, International Monetary Fund.
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    Cited by:

    1. 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.
    2. Wanke, Peter & Maredza, Andrew & Gupta, Rangan, 2017. "Merger and acquisitions in South African banking: A network DEA model," Research in International Business and Finance, Elsevier, vol. 41(C), pages 362-376.
    3. Lee, Chi-Chuan & Huang, Tai-Hsin, 2016. "Productivity changes in pre-crisis Western European banks: Does scale effect really matter?," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 29-48.
    4. Chang, Tzu-Pu & Hu, Jin-Li & Chou, Ray Yeutien & Sun, Lei, 2012. "The sources of bank productivity growth in China during 2002–2009: A disaggregation view," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1997-2006.
    5. Degl'Innocenti, Marta & Kourtzidis, Stavros A. & Sevic, Zeljko & Tzeremes, Nickolaos G., 2017. "Bank productivity growth and convergence in the European Union during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 184-199.
    6. Carlos P. Barros & Qi Bin Liang & Nicolas Peypoch, 2014. "Technical Efficiency in the Angolan Banking Sector with the B-convexity Model," South African Journal of Economics, Economic Society of South Africa, vol. 82(3), pages 443-454, September.
    7. Barros, C.P. & Emrouznejad, Ali, 2016. "Assessing productive efficiency of banks using integrated Fuzzy-DEA and bootstrapping: A case of Mozambican banksAuthor-Name: Wanke, Peter," European Journal of Operational Research, Elsevier, vol. 249(1), pages 378-389.

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