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Determinants of Commercial Banks’ Efficiency: Evidence from 11 CEE Countries

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  • Dana PANCUROVA

    (University of Economics in Bratislava, Faculty of Business Economics in Košice, Slovakia)

  • Stefan LYOCSA

    (University of Economics in Bratislava, Faculty of Business Economics in Košice, Slovakia)

Abstract

This study estimates bank efficiencies and their determinants for a sample of 11 Central and Eastern European Countries (CEEC) over the 2005–2008 period. Contrary to previous studies, we estimated cost and revenue efficiency using Data Envelopment Analysis (DEA), which allowed us to focus on both the input and output sides of banks’ efficiency. Our second stage analysis includes testing of the separability assumption and estimation of the truncated regression developed by Simar and Wilson (2007). We found evidence that: i) the size and financial capitalization of the bank are positively associated with cost and revenue efficiency; ii) foreign banks in CEEC are more cost efficient but less revenue efficient than domestic banks, suggesting different banking behavior between foreign and domestic banks; and iii) the loans-to-assets ratio was negatively associated with cost efficiency but positively associated with revenue efficiency, further stressing two different aspects of banking behavior in CEEC.

Suggested Citation

  • Dana PANCUROVA & Stefan LYOCSA, 2013. "Determinants of Commercial Banks’ Efficiency: Evidence from 11 CEE Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(2), pages 152-179, May.
  • Handle: RePEc:fau:fauart:v:63:y:2013:i:2:p:152-179
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    3. C. Spulbăr & M. Niţoi, 2014. "Determinants of bank cost efficiency in transition economies: evidence for Latin America, Central and Eastern Europe and South-East Asia," Applied Economics, Taylor & Francis Journals, vol. 46(16), pages 1940-1952, June.
    4. Konara, Palitha & Tan, Yong & Johnes, Jill, 2019. "FDI and heterogeneity in bank efficiency: Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 49(C), pages 100-113.
    5. Mihai Nitoi & Cristi Spulbar, 2016. "The Relationship between Bank Efficiency and Risk and Productivity Patterns in the Romanian Banking System," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 39-53, March.
    6. Eva Horvatova, 2020. "Twenty Years of Mortgage Banking in Slovakia," IJFS, MDPI, vol. 8(3), pages 1-30, September.

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    More about this item

    Keywords

    bank efficiency; Central and Eastern Europe; cost and revenue efficiency; ownership; data envelopment analysis;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • P20 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - General

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