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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. Mr. Martin Cihak & Mr. Heiko Hesse, 2007. "Cooperative Banks and Financial Stability," IMF Working Papers 2007/002, International Monetary Fund.
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    Cited by:

    1. Marwan Izzeldin & Emmanuel Mamatzakis & Anthony Murphy & Mike G. Tsionas, 2020. "A Novel MIMIC-Style Model of European Bank Technical Efficiency and Productivity Growth," Working Papers 2012, Federal Reserve Bank of Dallas.
    2. Aadil Ummar Zaman & Nisar Ahmad Khan, 2023. "Decomposition of productivity growth among the cooperative banks in Jammu and Kashmir (India)," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-8, December.
    3. 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.
    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. Imad Bou-Hamad & Abdel Latef Anouze & Ibrahim H. Osman, 2022. "A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information," Annals of Operations Research, Springer, vol. 308(1), pages 63-92, January.
    6. Arandarage Mayura Prasad Arandara & Shingo Takahashi, 2023. "Productivity analysis of Sri Lankan cooperative banks: input distance function approach," Asia-Pacific Journal of Regional Science, Springer, vol. 7(1), pages 93-117, March.
    7. 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.
    8. Peter Wanke & Carlos P. Barros & Md. Abul Kalam Azad & Dercio Constantino, 2016. "The Development of the Mozambican Banking Sector and Strategic Fit of Mergers and Acquisitions: A Two†Stage DEA Approach," African Development Review, African Development Bank, vol. 28(4), pages 444-461, December.
    9. Katamadze Davit & Abuselidze George & Katamadze Guliko & Slobodianyk Anna, 2019. "Bank Marketing Problems And Some Aspects Of Their Management," Economics and Management, Faculty of Economics, SOUTH-WEST UNIVERSITY "NEOFIT RILSKI", BLAGOEVGRAD, vol. 16(2), pages 120-130.
    10. 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.
    11. Cristian Barra & Nazzareno Ruggiero, 2022. "Firm innovation and local bank efficiency in Italy: Does the type of bank matter?," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 93(4), pages 1083-1128, December.
    12. 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.
    13. Cristi SPULBAR & Mihai NITOI & Lucian ANGHEL, 2015. "Efficiency In Cooperative Banks And Savings Banks : A Stochastic Frontier Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-21, March.
    14. 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.
    15. 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.

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