IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v28y2011i1-2p515-525.html
   My bibliography  Save this article

Modelling the effect of national culture on multinational banks' performance: A conditional robust nonparametric frontier analysis

Author

Listed:
  • Halkos, George Emm.
  • Tzeremes, Nickolaos G.

Abstract

Most of the efficiency studies of large multinational banks operating in different countries calculate banks' inefficiency levels without taking into account the environmental factors in which they are operating in. As a result the estimated inefficiencies are subject to a combination of true managerial inefficiencies and the impact of environmental factors which most of the time are not appropriately controlled in the analysis. This study by examining 282 multinational banks from 43 different countries calculates the influence of their national culture on their estimated efficiency levels. By using conditional and unconditional robust efficiency estimators this paper provides empirical evidence of how different cultural values influence banks' global practices and thus their performances. The results indicate that there is a cultural pattern that has a positive effect on banks' performance. That is lower masculine, uncertainty avoidance and power distance values and moderate individualistic values.

Suggested Citation

  • Halkos, George Emm. & Tzeremes, Nickolaos G., 2011. "Modelling the effect of national culture on multinational banks' performance: A conditional robust nonparametric frontier analysis," Economic Modelling, Elsevier, vol. 28(1-2), pages 515-525, January.
  • Handle: RePEc:eee:ecmode:v:28:y:2011:i:1-2:p:515-525
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264-9993(10)00117-3
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bos, J.W.B. & Kool, C.J.M., 2006. "Bank efficiency: The role of bank strategy and local market conditions," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 1953-1974, July.
    2. Bruce Kogut & Harbir Singh, 1988. "The Effect of National Culture on the Choice of Entry Mode," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 19(3), pages 411-432, September.
    3. Berger, Allen N. & Leusner, John H. & Mingo, John J., 1997. "The efficiency of bank branches," Journal of Monetary Economics, Elsevier, vol. 40(1), pages 141-162, September.
    4. Drake, L & Howcroft, B, 1994. "Relative efficiency in the branch network of a UK bank: An empirical study," Omega, Elsevier, vol. 22(1), pages 83-90, January.
    5. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    6. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    7. Oral, Muhittin & Yolalan, Reha, 1990. "An empirical study on measuring operating efficiency and profitability of bank branches," European Journal of Operational Research, Elsevier, vol. 46(3), pages 282-294, June.
    8. 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.
    9. Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
    10. 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.
    11. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, September.
    12. Léopold Simar, 2003. "Detecting Outliers in Frontier Models: A Simple Approach," Journal of Productivity Analysis, Springer, vol. 20(3), pages 391-424, November.
    13. Schaffnit, Claire & Rosen, Dan & Paradi, Joseph C., 1997. "Best practice analysis of bank branches: An application of DEA in a large Canadian bank," European Journal of Operational Research, Elsevier, vol. 98(2), pages 269-289, April.
    14. Chiu, Yung-Ho & Chen, Yu-Chuan, 2009. "The analysis of Taiwanese bank efficiency: Incorporating both external environment risk and internal risk," Economic Modelling, Elsevier, vol. 26(2), pages 456-463, March.
    15. Cinzia Daraio & Léopold Simar, 2007. "Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach," Journal of Productivity Analysis, Springer, vol. 28(1), pages 13-32, October.
    16. Geert Hofstede, 1983. "The Cultural Relativity of Organizational Practices and Theories," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 14(2), pages 75-89, June.
    17. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    18. Giokas, Dimitris I., 2008. "Assessing the efficiency in operations of a large Greek bank branch network adopting different economic behaviors," Economic Modelling, Elsevier, vol. 25(3), pages 559-574, May.
    19. Daouia, Abdelaati & Simar, Leopold, 2007. "Nonparametric efficiency analysis: A multivariate conditional quantile approach," Journal of Econometrics, Elsevier, vol. 140(2), pages 375-400, October.
    20. Mohamed Chaffai & Michel Dietsch & Ana Lozano-Vivas, 2001. "Technological and Environmental Differences in the European Banking Industries," Journal of Financial Services Research, Springer;Western Finance Association, vol. 19(2), pages 147-162, April.
    21. Berg, Sigbjorn Atle & Forsund, Finn R. & Hjalmarsson, Lennart & Suominen, Matti, 1993. "Banking efficiency in the Nordic countries," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 371-388, April.
    22. George Halkos & Nickolaos Tzeremes, 2008. "Does the Home Country's National Culture Affect MNCs' Performance? Empirical Evidence of the World's Top 100 East-West Non-financial MNCs," Global Economic Review, Taylor & Francis Journals, vol. 37(4), pages 405-427.
    23. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
    24. Patrick L. Brockett & Boaz Golany, 1996. "Using Rank Statistics for Determining Programmatic Efficiency Differences in Data Envelopment Analysis," Management Science, INFORMS, vol. 42(3), pages 466-472, March.
    25. George Halkos & Nickolaos Tzeremes, 2010. "The effect of foreign ownership on SMEs performance: An efficiency analysis perspective," Journal of Productivity Analysis, Springer, vol. 34(2), pages 167-180, October.
    26. Athanassopoulos, Antreas D., 1997. "Service quality and operating efficiency synergies for management control in the provision of financial services: Evidence from Greek bank branches," European Journal of Operational Research, Elsevier, vol. 98(2), pages 300-313, April.
    27. Ana Lozano-Vivas & Jesús T. Pastor & Iftekhar Hasan, 2001. "European Bank Performance Beyond Country Borders: What Really Matters?," Review of Finance, European Finance Association, vol. 5(1-2), pages 141-165.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Halkos, George & Tzeremes, Nickolaos, 2011. "Investigating the cultural patterns of corruption: A nonparametric analysis," MPRA Paper 32546, University Library of Munich, Germany.
    2. Tsekouras, Kostas & Chatzistamoulou, Nikos & Kounetas, Kostas & Broadstock, David C., 2016. "Spillovers, path dependence and the productive performance of European transportation sectors in the presence of technology heterogeneity," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 261-274.
    3. repec:eee:finsta:v:29:y:2017:i:c:p:36-56 is not listed on IDEAS
    4. 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.
    5. Xia, X.H. & Chen, Y.B. & Li, J.S. & Tasawar, H. & Alsaedi, A. & Chen, G.Q., 2014. "Energy regulation in China: Objective selection, potential assessment and responsibility sharing by partial frontier analysis," Energy Policy, Elsevier, vol. 66(C), pages 292-302.
    6. George E. Halkos & Nickolaos G. Tzeremes, 2012. "The culture of corruption: A nonparametric analysis," Economics Bulletin, AccessEcon, vol. 32(1), pages 315-324.
    7. repec:eee:ecmode:v:68:y:2018:i:c:p:229-238 is not listed on IDEAS
    8. Colesnic, Olga & Kounetas, Kostas & Polemis, Michael, 2018. "Estimating risk efficiency in MiddleEast banks before and after the crisis.A Metafrontier framework," MPRA Paper 84795, University Library of Munich, Germany.
    9. Kounetas, Kostas & Zervopoulos, Panagiotis, 2017. "Annex I and non-Annex I countries’productive performance revisited using a generalized directional distance function under a metafrontier framework: Is there any convergence-divergence pattern for tec," MPRA Paper 80904, University Library of Munich, Germany.
    10. Kounetas, Kostas & Napolitano, Oreste, 2015. "Too much EMU? An investigation of technology gaps," MPRA Paper 67600, University Library of Munich, Germany.

    More about this item

    Keywords

    Robust estimators Conditional efficiency measurement Banks' performance National culture;

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:eee:ecmode:v:28:y:2011:i:1-2:p:515-525. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.