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Comparative analysis of banking production frameworks in eastern european financial markets

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  • Kenjegalieva, Karligash
  • Simper, Richard
  • Weyman-Jones, Tom
  • Zelenyuk, Valentin

Abstract

This paper performs comparative analysis of the non-radial Russell output technical efficiency measures of 13 Eastern European banking systems assuming a banking production with risk as an undesirable output and where output components can be negative. This is analysed utilizing three modelling specifications; the intermediation, production and profit methodologies. Along with distribution and inter-distribution mobility analysis of the efficiency scores across alternative methodologies, we also estimate and statistically compare the distributions of estimated efficiency scores using the bootstrap-based Simar-Zelenyuk-adapted-Li test. The results suggest that although the efficiency levels differ across the approaches, change in positions of the banks relative to the mean is not substantial across the three methodologies.

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  • Kenjegalieva, Karligash & Simper, Richard & Weyman-Jones, Tom & Zelenyuk, Valentin, 2009. "Comparative analysis of banking production frameworks in eastern european financial markets," European Journal of Operational Research, Elsevier, vol. 198(1), pages 326-340, October.
    • Handle: RePEc:eee:ejores:v:198:y:2009:i:1:p:326-340
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    Cited by:

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    8. Hall, Maximilian J.B. & Kenjegalieva, Karligash A. & Simper, Richard, 2012. "Environmental factors affecting Hong Kong banking: A post-Asian financial crisis efficiency analysis," Global Finance Journal, Elsevier, vol. 23(3), pages 184-201.
    9. E. Nur Ozkan Gunay, 2012. "Risk Incorporation and Efficiency in Emerging Market Banks During the Global Crisis: Evidence from Turkey, 2002-2009," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(S5), pages 91-102, November.
    10. Manh D. Pham & Valentin Zelenyuk, 2018. "Slack-based directional distance function in the presence of bad outputs: theory and application to Vietnamese banking," Empirical Economics, Springer, vol. 54(1), pages 153-187, February.
    11. Muliaman D. Hadad & Maximilian J. B. Hall & Wimboh Santoso & Ricky Satria & Karligash Kenjegalieva & Richard Simper, 2008. "Efficiency in Indonesian Banking: Recent Evidence," Discussion Paper Series 2008_13, Department of Economics, Loughborough University, revised Nov 2008.
    12. Yauheniya Varabyova & Jonas Schreyögg, 2018. "Integrating quality into the nonparametric analysis of efficiency: a simulation comparison of popular methods," Annals of Operations Research, Springer, vol. 261(1), pages 365-392, February.
    13. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "Smooth approximations to monotone concave functions in production analysis: An alternative to nonparametric concave least squares," European Journal of Operational Research, Elsevier, vol. 271(3), pages 797-807.
    14. Ioannis Skevas & Alfons Oude Lansink & Theodoros Skevas, 2023. "Analysing inefficiency in a non‐parametric spatial‐dynamic by‐production framework: A k‐nearest neighbour proposal," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 591-607, June.
    15. Ohene-Asare, Kwaku & Turkson, Charles & Afful-Dadzie, Anthony, 2017. "Multinational operation, ownership and efficiency differences in the international oil industry," Energy Economics, Elsevier, vol. 68(C), pages 303-312.
    16. Muliaman D. Hadad & Maximilian J. B. Hall & Wimboh Santoso & Karligash Kenjegalieva & Richard Simper, 2009. "Productivity Changes in Indonesian Banking: Application of a New Approach to Estimating Malmquist Indices," Discussion Paper Series 2009_13, Department of Economics, Loughborough University, revised Sep 2009.
    17. Maximilian J. B. Hall & Karligash Kenjegalieva & Richard Simper, 2010. "Accounting for environmental factors, bias and negative numbers in efficiency estimation: A bootstrapping application to the Hong Kong banking sector," Discussion Paper Series 2010_03, Department of Economics, Loughborough University, revised Feb 2010.
    18. Muliaman D. Hadad & Maximilian J. B. Hall & Wimboh Santoso & Karligash Kenjegalieva & Richard Simper, 2009. "A New Approach to Dealing With Negative Numbers in Efficiency Analysis: An Application to the Indonesian Banking Sector," Discussion Paper Series 2009_20, Department of Economics, Loughborough University, revised Dec 2009.
    19. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.

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    More about this item

    Keywords

    C14 G21 L1 OR in banking Efficiency Bootstrapping Density estimation;

    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
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance

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