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Technology gaps in European banking: Put the blame on inputs or outputs?

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  • Kontolaimou, Alexandra
  • Kounetas, Konstantinos
  • Mourtos, Ioannis
  • Tsekouras, Kostas

Abstract

This paper investigates the production efficiency of 12 European banking systems over the period 1997–2004, taking into account possible technology heterogeneity. Using a non-parametric metafrontier framework, efficiency and metatechnology ratio measures are computed and decomposed into input- and output-invariant components. Empirical findings indicate the existence of significant and rather increasing technology heterogeneity within European banking. A typology of the national banking systems is also developed, based on the overall productive performance with respect to the European technological edge, the absorptive capacity and the role of knowledge spillover effects. Decomposition results draw attention to catching up policies focusing on input and/or output scale adjustments.

Suggested Citation

  • Kontolaimou, Alexandra & Kounetas, Konstantinos & Mourtos, Ioannis & Tsekouras, Kostas, 2012. "Technology gaps in European banking: Put the blame on inputs or outputs?," Economic Modelling, Elsevier, vol. 29(5), pages 1798-1808.
    • Handle: RePEc:eee:ecmode:v:29:y:2012:i:5:p:1798-1808
    DOI: 10.1016/j.econmod.2012.05.028
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    Cited by:

    1. Economou, Polychronis & Malefaki, Sonia & Kounetas, Konstantinos, 2019. "Productive Performance and Technology Gaps using a Bayesian Metafrontier Production Function: A cross-country comparison," MPRA Paper 94462, University Library of Munich, Germany.
    2. Ferrara, Giancarlo & Kounetas, Konstantinos E., 2024. "US banks efficiency after global financial crisis: Transient and persistent decomposition," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    3. Tsekouras, Kostas & Chatzistamoulou, Nikos & Kounetas, Kostas & Broadstock, David C., 2016. "Spillovers, path dependence and the productive performance of European transportation sectors in the presence of technology heterogeneity," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 261-274.
    4. Kontolaimou, Alexandra & Giotopoulos, Ioannis & Tsakanikas, Aggelos, 2016. "A typology of European countries based on innovation efficiency and technology gaps: The role of early-stage entrepreneurship," Economic Modelling, Elsevier, vol. 52(PB), pages 477-484.
    5. Mohamed Chaffai & M. Kabir Hassan, 2019. "Technology Gap and Managerial Efficiency: A Comparison between Islamic and Conventional Banks in MENA," Journal of Productivity Analysis, Springer, vol. 51(1), pages 39-53, February.
    6. Walheer, Barnabé, 2018. "Aggregation of metafrontier technology gap ratios: the case of European sectors in 1995–2015," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1013-1026.
    7. Colesnic, Olga & Kounetas, Konstantinos & Michael, Polemis, 2020. "Estimating risk efficiency in Middle East banks before and after the crisis: A metafrontier framework," Global Finance Journal, Elsevier, vol. 46(C).
    8. Casu, Barbara & Ferrari, Alessandra & Girardone, Claudia & Wilson, John O.S., 2016. "Integration, productivity and technological spillovers: Evidence for eurozone banking industries," European Journal of Operational Research, Elsevier, vol. 255(3), pages 971-983.
    9. Kounetas, Konstantinos, 2015. "Heterogeneous technologies, strategic groups and environmental efficiency technology gaps for European countries," Energy Policy, Elsevier, vol. 83(C), pages 277-287.
    10. Bonasia, Mariangela & Kounetas, Konstantinos & Oreste, Napolitano, 2020. "Assessment of regional productive performance of European health systems under a metatechnology framework," Economic Modelling, Elsevier, vol. 84(C), pages 234-248.
    11. Kounetas, Kostas & Zervopoulos, Panagiotis, 2017. "Annex I and non-Annex I countries’productive performance revisited using a generalized directional distance function under a metafrontier framework: Is there any convergence-divergence pattern for tec," MPRA Paper 80904, University Library of Munich, Germany.
    12. Kounetas, Kostas & Napolitano, Oreste, 2018. "Modeling the incidence of international trade on Italian regional productive efficiency using a meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 71(C), pages 45-58.
    13. Chi‐Chuan Lee & Tai‐Hsin Huang, 2019. "What Causes The Efficiency And The Technology Gap Under Different Ownership Structures In The Chinese Banking Industry?," Contemporary Economic Policy, Western Economic Association International, vol. 37(2), pages 332-348, April.
    14. Napolitano, Oreste & Foresti, Pasquale & Kounetas, Konstantinos & Spagnolo, Nicola, 2023. "The impact of energy, renewable and CO2 emissions efficiency on countries’ productivity," Energy Economics, Elsevier, vol. 125(C).
    15. Kounetas, Kostas & Napolitano, Oreste, 2015. "Too much EMU? An investigation of technology gaps," MPRA Paper 67600, University Library of Munich, Germany.
    16. Kounetas, Kostas & Napolitano, Oreste & Stavropoulos, Spyridon & Burger, Martijn, 2018. "European Regional Productive Performance under a Metafrontier Framework. The role of patents and human capital on technology gap?," MPRA Paper 88957, University Library of Munich, Germany, revised 17 Jul 2018.
    17. Walheer, Barnabé, 2023. "Meta-frontier and technology switchers: A nonparametric approach," European Journal of Operational Research, Elsevier, vol. 305(1), pages 463-474.
    18. Gerasimos T. Soldatos, 2020. "Technical inefficiency and output scale in banking and industry," Economics and Business Letters, Oviedo University Press, vol. 9(3), pages 270-278.
    19. Areti Gkypali & Kostas Kounetas & Kostas Tsekouras, 2019. "European countries’ competitiveness and productive performance evolution: unraveling the complexity in a heterogeneity context," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 665-695, April.
    20. Nguyen, Thanh & Nghiem, Son & Bhati, Abhishek Singh, 2024. "Risk-adjusted efficiency and innovation: an examination of systematic difference and convergence among BRIC banks," Economic Systems, Elsevier, vol. 48(1).
    21. Tziogkidis, Panagiotis & Philippas, Dionisis & Tsionas, Mike G., 2020. "Multidirectional conditional convergence in European banking," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 88-106.
    22. Chaffai, Mohamed & Coccorese, Paolo, 2019. "How far away is the MENA banking system? Efficiency comparisons with international banks," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 378-395.

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    More about this item

    Keywords

    Production efficiency; Metafrontier; Technology gaps; Banking firms; Data envelopment analysis;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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