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Intra- and inter-country bank branch assessment using DEA

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  • Denise McEachern
  • Joseph Paradi

Abstract

Increasingly globalized financial markets with considerable activity in the multinational sector have created the need to understand inter-country bank branch performance. This topic is relatively unstudied, primarily due to the immense difficulty encountered in gathering reliable data. Fortunately, we have been able to obtain data on a group of banks operating in one geographical market area, but in different countries. In this paper we critically assess bank branch profitability and productivity in seven national branch networks owned and operated by a multi-national financial services corporation. The corporate head office (owner) imposes its management philosophy equally on all of its subsidiaries, thus removing executive managerial and corporate disparity. Results suggest that countries in which branch performance is quite consistent amongst domestic branches are less productive and less profitable when compared to other countries that have more disparity in their efficiency scores. In addition, we discovered that, surprisingly, branches do not have to be productive in order to be profitable and this led us to somewhat of a major breakthrough in inter-country branch analysis. Significant managerial advice may be derived from these results vis-à-vis trans-national benchmarking and opportunity for performance improvements both at the branch level and nationally as well. Copyright Springer Science+Business Media, LLC 2007

Suggested Citation

  • Denise McEachern & Joseph Paradi, 2007. "Intra- and inter-country bank branch assessment using DEA," Journal of Productivity Analysis, Springer, vol. 27(2), pages 123-136, April.
  • Handle: RePEc:kap:jproda:v:27:y:2007:i:2:p:123-136
    DOI: 10.1007/s11123-006-0029-z
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    References listed on IDEAS

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    Cited by:

    1. Asmild, Mette & Matthews, Kent, 2012. "Multi-directional efficiency analysis of efficiency patterns in Chinese banks 1997–2008," European Journal of Operational Research, Elsevier, vol. 219(2), pages 434-441.
    2. Kristiaan Kerstens & Bouye Ahmed Moulaye Hachem & Ignace Van de Woestyne & Niels Vestergaard, 2008. "Optimal Capacity Utilization and Reallocation in a German Bank Branch Network: Exploring Some Strategic Scenarios," Working Papers 2008-ECO-19, IESEG School of Management.
    3. Mette Asmild & Fai Tam, 2007. "Estimating global frontier shifts and global Malmquist indices," Journal of Productivity Analysis, Springer, vol. 27(2), pages 137-148, April.
    4. Subhash C. Ray & Abhiman Das & Kankana Mukherjee, 2018. "Measures of Labor Use Efficiency from a Cost-Based Dual Representation of the Technology: A Study of Indian Bank Branches," Working papers 2018-17, University of Connecticut, Department of Economics.
    5. Galagedera, Don U.A., 2012. "Recent trends in relative performance of global equity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(4), pages 834-854.
    6. Aude Deville & Gary D. Ferrier & Hervé Leleu, 2009. "Performance measures for hierarchical organizations: Frontier analysis as a decision support tool," Working Papers 2009-ECO-01, IESEG School of Management.
    7. LaPlante, A.E. & Paradi, J.C., 2015. "Evaluation of bank branch growth potential using data envelopment analysis," Omega, Elsevier, vol. 52(C), pages 33-41.
    8. Aude Hubrecht-Deville & Hervé Leleu, 2007. "Performance measures of retail banking networks: a decision support tool," Working Papers CREGO 1071105, Université de Bourgogne - CREGO EA7317 Centre de recherches en gestion des organisations.
    9. Subhash C. Ray & Abhiman Das & Kankana Mukherjee, 2017. "Labor-Cost Efficiency with Indivisible Outputs and Inputs: A Study of Indian Bank Branches," Working papers 2017-04, University of Connecticut, Department of Economics.
    10. Paradi, Joseph C. & Zhu, Haiyan, 2013. "A survey on bank branch efficiency and performance research with data envelopment analysis," Omega, Elsevier, vol. 41(1), pages 61-79.
    11. Aude Hubrecht-Deville & Hervé Leleu, 2007. "Performance measures of retail banking networks: a decision support tool," Working Papers CREGO 1071203, Université de Bourgogne - CREGO EA7317 Centre de recherches en gestion des organisations.
    12. Aude Hubrecht-Deville, 2007. "Branch banking networks assessment using DEA:A benchmarking analysis," Working Papers CREGO 1071103, Université de Bourgogne - CREGO EA7317 Centre de recherches en gestion des organisations.
    13. Paradi, Joseph C. & Rouatt, Stephen & Zhu, Haiyan, 2011. "Two-stage evaluation of bank branch efficiency using data envelopment analysis," Omega, Elsevier, vol. 39(1), pages 99-109, January.
    14. Natsuko Iwasaki & Victor Tremblay, 2009. "The effect of marketing regulations on efficiency: LeChatelier versus coordination effects," Journal of Productivity Analysis, Springer, vol. 32(1), pages 41-54, August.

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    More about this item

    Keywords

    DEA; Profitability; Bank branch efficiency; Inter-country benchmarking; Productivity and profitability; L84;
    All these keywords.

    JEL classification:

    • L84 - Industrial Organization - - Industry Studies: Services - - - Personal, Professional, and Business Services

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