IDEAS home Printed from https://ideas.repec.org/p/opa/wpaper/0012.html
   My bibliography  Save this paper

Banking efficiency in the Czech Republic and Slovakia using the DEA Window Analysis

Author

Listed:
  • Iveta Palečková

    (Department of Finance and Accounting, School of Business Administration, Silesian University)

Abstract

The aim of this paper is to apply the Data Envelopment Analysis (DEA) window analysis on the data of the Czech and Slovak commercial banks and to examine the banking efficiency of the Czech Republic and Slovakia during the period 2004-2013. The paper employed an extended DEA approach, specifically DEA window analysis for the efficiency assessment of commercial banks in the Czech Republic and Slovakia. It is based on panel data for the period from 2004 to 2013. In the Czech banking sector, the average efficiency under constant return to scale reached 66-79% and average efficiency under variable return to scale reached 77-90%. The most efficient bank were GE Money Bank and Sberbank. The lowest efficient bank was Československá obchodní banka. The group of large bank (Československá obchodní banka, Česká spořitelna and Komerční banka) was lower efficient than other banks in the banking sector. In Slovakia, the average efficiency under constant return to scale reached 77-91% and average efficiency under variable return to scale reach 83-94%. The most efficient banks were OTP, Postova banka, UniCredit Bank and Istrobanka. The lowest efficient banks were found Privatbanka and Citibank. Whereas during the period 2003-2008 the average efficiency was increasing, during the period 2010-2011 the average efficiency decreased as a result of financial crisis.

Suggested Citation

  • Iveta Palečková, 2015. "Banking efficiency in the Czech Republic and Slovakia using the DEA Window Analysis," Working Papers 0012, Silesian University, School of Business Administration.
    • Handle: RePEc:opa:wpaper:0012
    as

    Download full text from publisher

    File URL: http://www.iivopf.cz/images/Working_papers/WPIEBS_12_Paleckova.pdf
    File Function: First version, 2015
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, December.
    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. 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.
    4. 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.
    5. Bonin, John P. & Hasan, Iftekhar & Wachtel, Paul, 2005. "Privatization matters: Bank efficiency in transition countries," Journal of Banking & Finance, Elsevier, vol. 29(8-9), pages 2155-2178, August.
    6. H. Semih Yildirim & George Philippatos, 2007. "Efficiency of Banks: Recent Evidence from the Transition Economies of Europe, 1993-2000," The European Journal of Finance, Taylor & Francis Journals, vol. 13(2), pages 123-143.
    7. Henry Tulkens & Philippe Eeckaut, 2006. "Nonparametric Efficiency, Progress and Regress Measures For Panel Data: Methodological Aspects," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 395-429, Springer.
    8. Zuzana Irsova & Tomas Havranek, 2011. "Bank Efficiency in Transitional Countries: Sensitivity to Stochastic Frontier Design," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 18(2), pages 230-270, December.
    9. 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.
    10. Andries, Alin Marius & Cocris, Vasile, 2010. "A Comparative Analysis of the Efficiency of Romanian Banks," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 54-75, December.
    11. George Anayiotos & Hovhannes Toroyan & Athanasios Vamvakidis, 2010. "The efficiency of emerging Europe’s banking sector before and after the recent economic crisis," Financial Theory and Practice, Institute of Public Finance, vol. 34(3), pages 247-267.
    12. repec:onb:oenbwp:y::i:96:b:1 is not listed on IDEAS
    13. Jati Sengupta, 1996. "Systematic measures of dynamic Farrell efficiency," Applied Economics Letters, Taylor & Francis Journals, vol. 3(2), pages 91-94.
    14. Roman Matoušek & Anita Taci, 2005. "Efficiency in Banking: Empirical Evidence from the Czech Republic," Economic Change and Restructuring, Springer, vol. 37(3), pages 225-244, September.
    15. Piyu Yue, 1992. "Data envelopment analysis and commercial bank performance: a primer with applications to Missouri banks," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 31-45.
    16. Mette Asmild & Joseph Paradi & Vanita Aggarwall & Claire Schaffnit, 2004. "Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry," Journal of Productivity Analysis, Springer, vol. 21(1), pages 67-89, January.
    17. Sathye, Milind, 2003. "Efficiency of banks in a developing economy: The case of India," European Journal of Operational Research, Elsevier, vol. 148(3), pages 662-671, August.
    18. Seiford, Lawrence M. & Thrall, Robert M., 1990. "Recent developments in DEA : The mathematical programming approach to frontier analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 7-38.
    19. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    20. Sufian, Fadzlan, 2006. "The Efficiency Of Islamic Banking Industry: A Non-Parametric Analysis With Non-Discretionary Input Variable," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 14, pages 54-87.
    21. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, June.
    22. Fries, Steven & Taci, Anita, 2005. "Cost efficiency of banks in transition: Evidence from 289 banks in 15 post-communist countries," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 55-81, January.
    23. Jozef Baruník & Branislav Soták, 2010. "Vplyv rôznych foriem vlastníctva na efektivitu českých a slovenských bánk: prístup analýzy stochastických hraníc [Influence of Different Ownership Forms on Efficiency of Czech and Slovak Banks: Sto," Politická ekonomie, Prague University of Economics and Business, vol. 2010(2), pages 207-224.
    Full references (including those not matched with items on IDEAS)

    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. Iveta Palecková, 2017. "Application of Window Malmquist Index for Examination of Efficiency Change of Czech Commercial Banks," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 3, pages 173-190, September.
    2. Iveta Repkova, 2013. "Estimation of Banking Efficiency in the Czech Republic: Dynamic Data Envelopment Analysis," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 4, pages 261-275, December.
    3. Iveta Palečková, 2018. "Differences in Efficiency between Banks in Financial Conglomerates and other Banks in the Banking Sectors in Visegrad Countries," Working Papers 0052, Silesian University, School of Business Administration.
    4. Angeliki Flokou & Vassilis Aletras & Dimitris Niakas, 2017. "A window-DEA based efficiency evaluation of the public hospital sector in Greece during the 5-year economic crisis," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-26, May.
    5. 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).
    6. Kottas, Angelos T. & Madas, Michael A., 2018. "Comparative efficiency analysis of major international airlines using Data Envelopment Analysis: Exploring effects of alliance membership and other operational efficiency determinants," Journal of Air Transport Management, Elsevier, vol. 70(C), pages 1-17.
    7. Degl'Innocenti, Marta & Kourtzidis, Stavros A. & Sevic, Zeljko & Tzeremes, Nickolaos G., 2017. "Investigating bank efficiency in transition economies: A window-based weight assurance region approach," Economic Modelling, Elsevier, vol. 67(C), pages 23-33.
    8. Jose L. Gallizo & Jordi Moreno & Ioana Iuliana Pop (Grigorescu), 2011. "Banking Efficiency And European Integration. Implications Of The Banking Reform In Romania," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(13), pages 1-25.
    9. Iveta Palečková, 2019. "Cost Efficiency Measurement Using Two-Stage Data Envelopment Analysis in the Czech and Slovak Banking Sectors," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 69(3), pages 445-466, September.
    10. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    11. Kiril Tochkov & Nikolay Nenovsky, 2009. "Efficiency of commercial banks in Bulgaria in the wake of EU accession," ICER Working Papers 21-2009, ICER - International Centre for Economic Research.
    12. Michael O. Nyong, 2017. "Relative Efficiency of Commercial Banks in Nigeria: A Nonparametric Mathematical Optimization Analysis," Noble International Journal of Economics and Financial Research, Noble Academic Publsiher, vol. 2(2), pages 27-49, February.
    13. Constant Fouopi Djiogap & Jacques Simon Song, 2016. "Qualité des institutions, structure de propriété et efficacité des banques dans la CEMAC ," African Development Review, African Development Bank, vol. 28(4), pages 496-508, December.
    14. José Luis Gallizo & Jordi Moreno & Manuel Salvador, 2015. "European banking integration: is foreign ownership affecting banking efficiency?," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(2), pages 340-368, April.
    15. repec:zbw:bofrdp:2011_005 is not listed on IDEAS
    16. Halkos, George Emm. & Tzeremes, Nickolaos G., 2009. "Exploring the existence of Kuznets curve in countries' environmental efficiency using DEA window analysis," Ecological Economics, Elsevier, vol. 68(7), pages 2168-2176, May.
    17. Fang, Yiwei & Hasan, Iftekhar & Marton, Katherin & Waisman, Maya, 2014. "Bank valuation in new EU member countries," Economic Systems, Elsevier, vol. 38(1), pages 55-72.
    18. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    19. Белоусова В. Ю., 2009. "Эффективность Издержек Однородных Российских Коммерческих Банков: Обзор Проблемы И Новые Результаты," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 13(4), pages 489-519.
    20. Aziz KUTLAR & Ali KABASAKAL & Adem BABACAN, 2015. "Dynamic Efficiency of Turkish Banks: a DEA Window and Malmquist Index Analysis for the Period of 2003-2012," Sosyoekonomi Journal, Sosyoekonomi Society, issue 23(24).
    21. Serhat Y ksel & Shahriyar Mukhtarov & Elvin Mammadov, 2016. "Comparing the Efficiency of Turkish and Azerbaijani Banks: An Application with Data Envelopment Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 6(3), pages 1059-1067.

    More about this item

    Keywords

    data envelopment analysis; window analysis; banking sector; Czech Republic; Slovakia; commercial bank;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:opa:wpaper:0012. See general information about how to correct material in RePEc.

    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: David Jančar (email available below). General contact details of provider: https://edirc.repec.org/data/opfslcz.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.