IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/60481.html
   My bibliography  Save this paper

Cost-effectiveness analysis of Ukrainian banks using the DEA method

Author

Listed:
  • Kryklii, Olena
  • Pavlenko, Ludmila
  • Podvihin, Sergei

Abstract

The purpose of this study is to determine the scale, technical and overall efficiency of the banking system of Ukraine using the DEA method in dynamics in the post-crisis period. The DEA method belongs to the group of non-parametric methods based on front’s technology analysis and allows considering the totality of impacts both the input parameters (resources) and output (products / services). The structure of banks included 24 banks of Ukraine with total assets amounted to 806.7 billion UAH (72 % of banking system assets). Banks were classified into state-owned banks and banks in which the state has a controlling interest, banks with domestic capital, banks with Russian capital and banks with foreign capital (excluding Russia). Empirical data analysis demonstrated that over the period of analysis the effectiveness of large-scale banks increased, while pure technical remained at a moderate level. Most of the banks included in the sample operate with average effective or ineffective.

Suggested Citation

  • Kryklii, Olena & Pavlenko, Ludmila & Podvihin, Sergei, 2013. "Cost-effectiveness analysis of Ukrainian banks using the DEA method," MPRA Paper 60481, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:60481
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/60481/1/MPRA_paper_60481.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nazin, Vladimir, 2010. "Nonparametric estimates of technical efficiency of Russian banks and crisis impact," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 20(4), pages 28-52.
    2. Muhammad, Tanko, 2008. "A DEA Analysis of Bank Performance in Nigeria," MPRA Paper 33560, University Library of Munich, Germany.
    3. Tamer Mohamed Shahwan & Yousef Mohammed Hassan, 2013. "Efficiency analysis of UAE banks using data envelopment analysis," Journal of Economic and Administrative Sciences, Emerald Group Publishing, vol. 29(1), pages 4-20, February.
    4. 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.
    5. Tamer Mohamed Shahwan & Yousef Mohammed Hassan, 2013. "Efficiency analysis of UAE banks using data envelopment analysis," Journal of Economic and Administrative Sciences, Emerald Group Publishing Limited, vol. 29(1), pages 4-20, May.
    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. Kofi Mintah Oware & T. Mallikarjunappa, 2023. "Financial Performance and Gender Diversity: The Moderating and Mediating Effect of CSR Disclosure and Expenditure of Listed Firms in India," Vision, , vol. 27(2), pages 243-255, April.
    2. Ali Saleh Ahmed Alarussi, 2021. "Effectiveness, Efficiency and Executive Directors’ Compensation Among Listed Companies in Malaysia," SAGE Open, , vol. 11(4), pages 21582440211, October.
    3. du Toit, Elda & Cuba, Yolanda Z., 2018. "Cost and profit efficiency of listed South African banks pre and post the financial crisis," Research in International Business and Finance, Elsevier, vol. 45(C), pages 435-445.
    4. Jamali, Hisnol & T, Sutrisno & Subekti, & Assih, Prihat, 2017. "The Influence of Corporate Governance and Corporate Social Responsibility on Financial Performancewith Efficiency as Mediating Variable," INA-Rxiv t796p, Center for Open Science.
    5. Mamonov, Mikhail, 2012. "The impact of market power of Russian banks on their credit risk tolerance: A panel study," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 28(4), pages 85-112.
    6. Sanderson Abel & Alex Bara & Pierre Le Roux, 2019. "Evaluating Bank Cost Efficiency Using Stochastic Frontier Analysis," Journal of Economics and Behavioral Studies, AMH International, vol. 11(3), pages 48-57.
    7. repec:cmj:journl:y:2013:i:27:popovicimc is not listed on IDEAS
    8. Usman Owolabi Akeem & Fadipe Moses, 2014. "An Empirical Analysis of Allocative Efficiency of Nigerian CommercialBanks: A DEA Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 4(3), pages 465-475.
    9. 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.
    10. 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.
    11. Anwar Al-Gasaymeh & Miral R. Samarah, 2023. "Does Country Risk Affect Banking Efficiency: Empirical Evidence from Turkey and Selected Countries from the European Union," Global Business Review, International Management Institute, vol. 24(6), pages 1401-1417, December.
    12. Adela Socol & Adina Elena Dănuleţiu, 2013. "Analysis Of The Romanian Banks' Performance Through Roa, Roe And Non-Performing Loans Models," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(15), pages 1-24.
    13. Mihăiță-Cosmin M. Popovici, 2013. "Latest Challenges In Efficiency Convergence In Balkan And Baltic Countries," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 2, pages 110-118, October.
    14. Vunjak Nenad & Davidovic Milivoje, 2014. "Cost Efficiency Of Agroindustrial Companies In Vojvodina: Dea Approach," Interdisciplinary Management Research, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 10, pages 369-376.
    15. 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.
    16. Zetian Yu & Hao Liu & Hua Peng & Qiantong Xia & Xiaoxia Dong, 2023. "Production Efficiency of Raw Milk and Its Determinants: Application of Combining Data Envelopment Analysis and Stochastic Frontier Analysis," Agriculture, MDPI, vol. 13(2), pages 1-25, February.
    17. Sabin Bikram Panta & Devi Prasad Bedari, Ph.D., 2015. "Cost Efficiency of Nepali Commercial Banks in the Context of Regulatory Changes," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 27(2), pages 75-90, October.
    18. 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.
    19. Adnan Kasman & Kamila Mekenbayeva, 2016. "Technical Efficiency and Total Factor Productivity in the Kazakh Banking Industry," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 66(4), pages 685-709, December.
    20. Angela Pîslaru & Matei Kubinschi & Florian Neagu, 2023. "Does it pay off to invest in bank staff training? Survey‐based evidence from an emerging market banking sector," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(4), pages 1055-1072, October.
    21. Suela Kristo, 2013. "Efficiency of the Albanian banking system: Traditional approach and Stochastic Frontier Analysis," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 6(3), pages 61-78, December.

    More about this item

    Keywords

    the scale; technical and overall efficiency; the banking system; DEA method.;
    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

    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:pra:mprapa:60481. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.