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Efficiency of Banks in Regions at Different Stage of European Integration Process

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  • Daniel Stavarek

    (Silesian University - School of Business Administration)

Abstract

This paper estimates commercial banks’ efficiency in three relatively homogenous groups of countries with different level of economic development and different involvement in the process of European integration. The first group consists of Portugal and Greece, the second group is represented by the Czech Republic, Hungary, Poland and Slovakia and the third group includes Bulgaria and Romania. The paper aims to reveal whether the differences among regions and countries in the stage of European integration and economic situation are visible also in banking efficiency. Thus we test the hypothesis that the higher degree of European economic integration and economic development goes hand in hand with higher baking efficiency. Employing Data Envelopment Analysis on unconsolidated data we evaluate efficiency of banks in a core of their business - financial intermediation - in 2002-2003. Results suggest that differences in banking efficiency exist among analyzed regions and the hierarchy corresponds with the hierarchy of regions and countries in terms of economic development and degree of integration. Thus, low level of financial intermediation efficiency in Central and Eastern European countries may undermine their effort to boost the economic growth and catch-up the forerunning countries. The importance of the efficiency gap is underscored by the fact that only some of the catching-up countries recorded higher growth of efficiency than the forerunners.

Suggested Citation

  • Daniel Stavarek, 2005. "Efficiency of Banks in Regions at Different Stage of European Integration Process," Finance 0502020, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpfi:0502020
    Note: Type of Document - pdf; pages: 35
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    References listed on IDEAS

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    Cited by:

    1. Mathur Somesh, 2007. "Indian IT and ICT Industry: A Performance Analysis Using Data Envelopment Analysis and Malmquist Index," Global Economy Journal, De Gruyter, vol. 7(2), pages 1-42, June.
    2. Mamatzakis, E & kalyvas, a, 2013. "Regulations, Economic Freedom and Bank Performance: Evidence from the EU-10 Economies," MPRA Paper 51878, University Library of Munich, Germany.
    3. Somesh K. Mathur, 2009. "Financial Analysis of the ICT Industry," Journal of Infrastructure Development, India Development Foundation, vol. 1(1), pages 17-43, June.
    4. Mathur, Somesh Kumar, 2007. "Indian IT industry: a performance analysis and a model for possible adoption," MPRA Paper 2368, University Library of Munich, Germany.

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    More about this item

    Keywords

    efficiency; banks; Data Envelopment Analysis; integration;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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