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A productivity analysis of Central and Eastern European banking taking into account risk decomposition and environmental variables

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  • Kenjegalieva, Karligash A.
  • Simper, Richard

Abstract

This paper develops a Luenberger productivity index that is applied to a technology where desirable and undesirable outputs are jointly produced and are possibly negative. The components of this Luenberger productivity index - the efficiency change and the components of the technological shift - are then decomposed into factors determined by the technology, adjusted and then for [`]risk and environment', [`]risk management' and [`]environmental effects'. The method is applied to Central and Eastern European banks operating during 1998-2003 utilising three alternative input/output methodologies (intermediation, production and profit/revenue). Additionally, the comparative analysis of the sensitivity of the productivity indices in the choice of the methodologies is undertaken using statistical and kernel density tests. It is found that the main driver of productivity change in Central and Eastern European banks is technological improvement. That is, in the beginning of the analysed period, the results hinged on the banks ability to capitalise on advanced technology and successfully take into account [`]risk and environmental' factors. Whereas, in later periods, one of the most important factors of technological improvement/decline was [`]risk management'. Finally, the tests employed confirm previous findings, such as Pasiouras (2008) in this journal, that different input/output methodologies produce statistically different productivity results. Finally, we find that external factors, such as [`]risk in the economy' and banking production, and a [`]corruption perception' affect the productivity of banks.

Suggested Citation

  • Kenjegalieva, Karligash A. & Simper, Richard, 2011. "A productivity analysis of Central and Eastern European banking taking into account risk decomposition and environmental variables," Research in International Business and Finance, Elsevier, vol. 25(1), pages 26-38, January.
  • Handle: RePEc:eee:riibaf:v:25:y:2011:i:1:p:26-38
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    References listed on IDEAS

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    Cited by:

    1. Wanke, Peter & Azad, M.D. Abul Kalam & Barros, C.P., 2016. "Predicting efficiency in Malaysian Islamic banks: A two-stage TOPSIS and neural networks approach," Research in International Business and Finance, Elsevier, vol. 36(C), pages 485-498.
    2. Djalilov, Khurshid & Piesse, Jenifer, 2016. "Determinants of bank profitability in transition countries: What matters most?," Research in International Business and Finance, Elsevier, vol. 38(C), pages 69-82.
    3. Salim, Ruhul & Arjomandi, Amir & Seufert, Juergen Heinz, 2016. "Does corporate governance affect Australian banks' performance?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 113-125.
    4. Sufian, Fadzlan & Habibullah, Muzafar Shah, 2012. "Globalizations and bank performance in China," Research in International Business and Finance, Elsevier, vol. 26(2), pages 221-239.
    5. Arjomandi, Amir & Valadkhani, Abbas & O’Brien, Martin, 2014. "Analysing banks’ intermediation and operational performance using the Hicks–Moorsteen TFP index: The case of Iran," Research in International Business and Finance, Elsevier, vol. 30(C), pages 111-125.

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