IDEAS home Printed from https://ideas.repec.org/a/fau/fauart/v63y2013i2p152-179.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://journal.fsv.cuni.cz/storage/1271_lyocsa.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zijiang Yang & Xiaogang Wang & Dongming Sun, 2010. "Using the bootstrap method to detect influential DMUs in data envelopment analysis," Annals of Operations Research, Springer, vol. 173(1), pages 89-103, January.
    2. David A Grigorian & Vlad Manole, 2006. "Determinants of Commercial Bank Performance in Transition: An Application of Data Envelopment Analysis," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 48(3), pages 497-522, September.
    3. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    4. Lehner, Maria & Schnitzer, Monika, 2008. "Entry of foreign banks and their impact on host countries," Journal of Comparative Economics, Elsevier, vol. 36(3), pages 430-452, September.
    5. Jamasb, Tooraj & Pollitt, Michael & Triebs, Thomas, 2008. "Productivity and efficiency of US gas transmission companies: A European regulatory perspective," Energy Policy, Elsevier, vol. 36(9), pages 3398-3412, September.
    6. Lozano-Vivas, Ana & Pasiouras, Fotios, 2010. "The impact of non-traditional activities on the estimation of bank efficiency: International evidence," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1436-1449, July.
    7. Ewa M. Nikiel & Timothy P. Opiela, 2002. "Customer Type And Bank Efficiency In Poland: Implications For Emerging Market Banking," Contemporary Economic Policy, Western Economic Association International, vol. 20(3), pages 255-271, July.
    8. Laurent Weill, 2003. "Banking efficiency in transition economies," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 11(3), pages 569-592, September.
    9. Nicola Cetorelli & Michele Gambera, 2001. "Banking Market Structure, Financial Dependence and Growth: International Evidence from Industry Data," Journal of Finance, American Finance Association, vol. 56(2), pages 617-648, April.
    10. Maudos, Joaquin & Fernandez de Guevara, Juan, 2004. "Factors explaining the interest margin in the banking sectors of the European Union," Journal of Banking & Finance, Elsevier, vol. 28(9), pages 2259-2281, September.
    11. Franz Hahn, 2007. "Environmental determinants of banking efficiency in Austria," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 34(3), pages 231-245, July.
    12. Barbara Casu & Philip Molyneux, 2003. "A comparative study of efficiency in European banking," Applied Economics, Taylor & Francis Journals, vol. 35(17), pages 1865-1876.
    13. 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.
    14. Maria Sousa & Borko Stošić, 2005. "Technical Efficiency of the Brazilian Municipalities: Correcting Nonparametric Frontier Measurements for Outliers," Journal of Productivity Analysis, Springer, vol. 24(2), pages 157-181, October.
    15. Olena Havrylchyk, 2006. "Efficiency of the Polish banking industry: Foreign versus domestic banks," Post-Print hal-03201995, HAL.
    16. 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.
    17. K Tone, 2002. "A strange case of the cost and allocative efficiencies in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(11), pages 1225-1231, November.
    18. Paul Wilson, 2003. "Testing Independence in Models of Productive Efficiency," Journal of Productivity Analysis, Springer, vol. 20(3), pages 361-390, November.
    19. Wieneke, Axel & Gries, Thomas, 2011. "SME performance in transition economies: The financial regulation and firm-level corruption nexus," Journal of Comparative Economics, Elsevier, vol. 39(2), pages 221-229, June.
    20. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    21. Bonin, John P. & Hasan, Iftekhar & Wachtel, Paul, 2005. "Bank performance, efficiency and ownership in transition countries," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 31-53, January.
    22. Tigran Poghosyan & Subal Kumbhakar, 2010. "Heterogeneity of technological regimes and banking efficiency in former socialist economies," Journal of Productivity Analysis, Springer, vol. 33(1), pages 19-31, February.
    23. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    24. Stuart I. Greenbaum, 1967. "Competition and Efficiency in the Banking System--Empirical Research and Its Policy Implications," Journal of Political Economy, University of Chicago Press, vol. 75, pages 461-461.
    25. Wilson, Paul W., 2008. "FEAR: A software package for frontier efficiency analysis with R," Socio-Economic Planning Sciences, Elsevier, vol. 42(4), pages 247-254, December.
    26. Hasan, Iftekhar & Marton, Katherin, 2003. "Development and efficiency of the banking sector in a transitional economy: Hungarian experience," Journal of Banking & Finance, Elsevier, vol. 27(12), pages 2249-2271, December.
    27. Dinger, Valeriya, 2009. "Do foreign-owned banks affect banking system liquidity risk?," Journal of Comparative Economics, Elsevier, vol. 37(4), pages 647-657, December.
    28. Mester, Loretta J., 1996. "A study of bank efficiency taking into account risk-preferences," Journal of Banking & Finance, Elsevier, vol. 20(6), pages 1025-1045, July.
    29. Berger, Allen N. & Hasan, Iftekhar & Zhou, Mingming, 2009. "Bank ownership and efficiency in China: What will happen in the world's largest nation?," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 113-130, January.
    30. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    31. Wilson, Paul W, 1993. "Detecting Outliers in Deterministic Nonparametric Frontier Models with Multiple Outputs," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 319-323, July.
    32. Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May.
    33. Rajiv D. Banker & Ram Natarajan, 2008. "Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis," Operations Research, INFORMS, vol. 56(1), pages 48-58, February.
    34. Adnan Kasman & Canan Yildirim, 2006. "Cost and profit efficiencies in transition banking: the case of new EU members," Applied Economics, Taylor & Francis Journals, vol. 38(9), pages 1079-1090.
    35. David Hauner, 2005. "Explaining efficiency differences among large German and Austrian banks," Applied Economics, Taylor & Francis Journals, vol. 37(9), pages 969-980.
    36. Léopold Simar, 2003. "Detecting Outliers in Frontier Models: A Simple Approach," Journal of Productivity Analysis, Springer, vol. 20(3), pages 391-424, November.
    37. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    38. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    39. Havrylchyk, Olena, 2006. "Efficiency of the Polish banking industry: Foreign versus domestic banks," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 1975-1996, July.
    40. Zuzana Iršová & Tomáš Havránek, 2010. "Measuring Bank Efficiency: A Meta-Regression Analysis," Prague Economic Papers, Prague University of Economics and Business, vol. 2010(4), pages 307-328.
    41. Dimitris Chronopoulos & Claudia Girardone & John Nankervis, 2011. "Are there any cost and profit efficiency gains in financial conglomeration? Evidence from the accession countries," The European Journal of Finance, Taylor & Francis Journals, vol. 17(8), pages 603-621.
    42. 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.
    43. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    44. Sealey, Calvin W, Jr & Lindley, James T, 1977. "Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions," Journal of Finance, American Finance Association, vol. 32(4), pages 1251-1266, September.
    45. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, November.
    46. Marko Košak & Jelena Zorić, 2011. "Accounting for heterogeneity in cross‐country bank efficiency comparisons," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 19(3), pages 473-494, July.
    47. Olena Havrylchyk, 2006. "Efficiency of the Polish banking industry: Foreign versus domestic banks," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03201995, HAL.
    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. Viera Mendelová, 2021. "Decomposition of cost efficiency with adjustable prices: an application of data envelopment analysis," Operational Research, Springer, vol. 21(4), pages 2739-2770, December.
    2. Eva Horvatova, 2018. "Technical Efficiency of Banks in Central and Eastern Europe," IJFS, MDPI, vol. 6(3), pages 1-25, July.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francesco Aiello & Graziella Bonanno, 2018. "On The Sources Of Heterogeneity In Banking Efficiency Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 194-225, February.
    2. Valentin Z. Toci & Iraj Hashi, 2013. "Intermediation Efficiency of Banks in South-East Europe: An Empirical Assessment Using Dea and Malmquist Index," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 2(3), pages 01-20, July.
    3. Le, Phuong Thanh & Harvie, Charles & Arjomandi, Amir & Borthwick, James, 2019. "Financial liberalisation, bank ownership type and performance in a transition economy: The case of Vietnam," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    4. Natalya Zelenyuk & Valentin Zelenyuk, 2015. "Productivity Drivers of Efficiency in Banking: Importance of Model Specifications," CEPA Working Papers Series WP082015, School of Economics, University of Queensland, Australia.
    5. Johann Burgstaller, 2020. "Retail‐bank efficiency: Nonstandard goals and environmental determinants," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 91(2), pages 269-301, June.
    6. Minyan Zhu, 2012. "The impact of foreign bank entry in emerging markets: knowledge spillovers or competitive pressure?," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2012-04, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    7. Fadzlan Sufian & Fakarudin Kamarudin, 2014. "The impact of ownership structure on bank productivity and efficiency: Evidence from semi-parametric Malmquist Productivity Index," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-27, December.
    8. Mamatzakis, Emmanuel & Staikouras, Christos & Koutsomanoli-Filippaki, Anastasia, 2008. "Bank efficiency in the new European Union member states: Is there convergence?," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 1156-1172, December.
    9. Francesco Aiello & Graziella Bonanno, 2016. "Efficiency in banking: a meta-regression analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 112-149, January.
    10. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    11. Staikouras, Christos & Mamatzakis, Emmanuel & Koutsomanoli-Filippaki, Anastasia, 2008. "Cost efficiency of the banking industry in the South Eastern European region," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(5), pages 483-497, December.
    12. 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.
    13. Claessens, Stijn & van Horen, Neeltje, 2012. "Being a foreigner among domestic banks: Asset or liability?," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1276-1290.
    14. Kyj, Larissa & Isik, Ihsan, 2008. "Bank x-efficiency in Ukraine: An analysis of service characteristics and ownership," Journal of Economics and Business, Elsevier, vol. 60(4), pages 369-393.
    15. Léopold Simar & Paul W. Wilson, 2015. "Statistical Approaches for Non-parametric Frontier Models: A Guided Tour," International Statistical Review, International Statistical Institute, vol. 83(1), pages 77-110, April.
    16. Lensink, Robert & Meesters, Aljar & Naaborg, Ilko, 2008. "Bank efficiency and foreign ownership: Do good institutions matter?," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 834-844, May.
    17. Fotios Pasiouras & Aggeliki Liadaki & Constantin Zopounidis, 2008. "Bank efficiency and share performance: evidence from Greece," Applied Financial Economics, Taylor & Francis Journals, vol. 18(14), pages 1121-1130.
    18. Fadzlan Sufian, 2016. "Determinants of Efficiency in the Malaysian Banking Sector: Evidence from Semi-parametric Data Envelopment Analysis Method," Studies in Microeconomics, , vol. 4(2), pages 151-172, December.
    19. Aggelopoulos, Eleftherios & Georgopoulos, Antonios, 2017. "Bank branch efficiency under environmental change: A bootstrap DEA on monthly profit and loss accounting statements of Greek retail branches," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1170-1188.
    20. Calogero Guccio & Giacomo Pignataro & Ilde Rizzo, 2014. "Evaluating the efficiency of public procurement contracts for cultural heritage conservation works in Italy," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(1), pages 43-70, February.

    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 - Economic Systems - - Socialist Systems and Transition Economies - - - General

    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:fau:fauart:v:63:y:2013:i:2:p:152-179. 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: . General contact details of provider: https://edirc.repec.org/data/icunicz.html .

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Natalie Svarcova (email available below). General contact details of provider: https://edirc.repec.org/data/icunicz.html .

    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.