IDEAS home Printed from https://ideas.repec.org/a/mup/actaun/actaun_2015063062085.html
   My bibliography  Save this article

Banking Efficiency in Visegrad Countries: A Dynamic Data Envelopment Analysis

Author

Listed:
  • Iveta Palečková

    (Department of Finance and Accounting, School of Business Administration in Karvina, Silesian University in Opava, Univerzitní náměstí 1934/3, 733 40 Karviná, Czech Republic)

Abstract

The aim of the paper is to examine the efficiency of the banking sectors in Visegrad countries during the period 2009-2013. The group of Visegrad countries includes the Czech Republic, Hungary, Poland and Slovakia. We apply Dynamic Data Envelopment Analysis (DEA) to data on commercial banks in the group of Viserad countries. Next, we calculated average efficiency of the groups of banks according the total assets. Average efficiency was slightly decreased during the period 2010-2011 and significantly decreased in 2012 which was probably as a result of financial crisis. In 2013 average efficiency increased. The Czech and Hungarian banking sector was the highest efficient. Considering the group of banks according total assets, the group of small banks was the most efficient in CCR model and the group of medium-sized banks was the most efficient in BCC model.

Suggested Citation

  • Iveta Palečková, 2015. "Banking Efficiency in Visegrad Countries: A Dynamic Data Envelopment Analysis," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(6), pages 2085-2091.
    • Handle: RePEc:mup:actaun:actaun_2015063062085
    DOI: 10.11118/actaun201563062085
    as

    Download full text from publisher

    File URL: http://acta.mendelu.cz/doi/10.11118/actaun201563062085.html
    Download Restriction: free of charge
    File URL: http://acta.mendelu.cz/doi/10.11118/actaun201563062085.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.11118/actaun201563062085?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Jati Sengupta, 1996. "Systematic measures of dynamic Farrell efficiency," Applied Economics Letters, Taylor & Francis Journals, vol. 3(2), pages 91-94.
    2. 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.
    3. 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.
    4. Brissimis, Sophocles N. & Delis, Manthos D. & Tsionas, Efthymios G., 2010. "Technical and allocative efficiency in European banking," European Journal of Operational Research, Elsevier, vol. 204(1), pages 153-163, July.
    5. 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.
    6. 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.
    7. Stavarek, Daniel & Šulganová, Jana, 2009. "Analýza efektívnosti slovenských bánk využitím Stochastic Frontier Approach [Analysis of Efficiency of Slovak Banks Using Stochastic Frontier Approach]," MPRA Paper 16020, University Library of Munich, Germany.
    8. 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.
    9. Koutsomanoli-Filippaki, Anastasia & Margaritis, Dimitris & Staikouras, Christos, 2009. "Efficiency and productivity growth in the banking industry of Central and Eastern Europe," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 557-567, March.
    10. 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.
    11. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    12. repec:onb:oenbwp:y::i:96:b:1 is not listed on IDEAS
    13. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    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 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Patricija Bajec & Danijela Tuljak-Suban & Eva Zalokar, 2021. "A Distance-Based AHP-DEA Super-Efficiency Approach for Selecting an Electric Bike Sharing System Provider: One Step Closer to Sustainability and a Win–Win Effect for All Target Groups," Sustainability, MDPI, vol. 13(2), pages 1-24, January.
    8. Hirofumi Fukuyama & Hiroya Masaki & Kazuyuki Sekitani & Jianming Shi, 2014. "Distance optimization approach to ratio-form efficiency measures in data envelopment analysis," Journal of Productivity Analysis, Springer, vol. 42(2), pages 175-186, October.
    9. Wanke, Peter & Barros, Carlos P. & Faria, João R., 2015. "Financial distress drivers in Brazilian banks: A dynamic slacks approach," European Journal of Operational Research, Elsevier, vol. 240(1), pages 258-268.
    10. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    11. Yu-Chuan Chen & Yung-Ho Chiu & Tzu-Han Chang & Tai-Yu Lin, 2023. "Sustainable Development, Government Efficiency, and People’s Happiness," Journal of Happiness Studies, Springer, vol. 24(4), pages 1549-1578, April.
    12. Psillaki, Maria & Mamatzakis, Emmanuel, 2017. "What drives bank performance in transitions economies? The impact of reforms and regulations," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 578-594.
    13. Mihăiță-Cosmin M. POPOVICI, 2014. "Impact Of Financial Crisis On Banking Efficiency: Evidence From Romania," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 3, pages 451-456, April.
    14. Yung-ho Chiu & Chin-wei Huang & Chung-te Ting, 2012. "A non-radial measure of different systems for Taiwanese tourist hotels’ efficiency assessment," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(1), pages 45-63, March.
    15. Min Wang & Meng Ji & Xiaofen Wu & Kexin Deng & Xiaodong Jing, 2023. "Analysis on Evaluation and Spatial-Temporal Evolution of Port Cluster Eco-Efficiency: Case Study from the Yangtze River Delta in China," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    16. Xiangyu Teng & Fan‐peng Liu & Yung‐ho Chiu, 2020. "The impact of coal and non‐coal consumption on China's energy performance improvement," Natural Resources Forum, Blackwell Publishing, vol. 44(4), pages 334-352, November.
    17. Lin, Ruiyue & Liu, Qian, 2021. "Multiplier dynamic data envelopment analysis based on directional distance function: An application to mutual funds," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1043-1057.
    18. Asmild, Mette & Pastor, Jesús T., 2010. "Slack free MEA and RDM with comprehensive efficiency measures," Omega, Elsevier, vol. 38(6), pages 475-483, December.
    19. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    20. Hirofumi Fukuyama & Mike Tsionas & Yong Tan, 2024. "Incorporating causal modeling into data envelopment analysis for performance evaluation," Annals of Operations Research, Springer, vol. 342(3), pages 1865-1904, November.

    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:mup:actaun:actaun_2015063062085. 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: Ivo Andrle (email available below). General contact details of provider: https://mendelu.cz/en/ .

    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.