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Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and Support Vector Machines
بهره وری بانک چینی در طول بحران مالی جهانی : یک روش ترکیبی با استفاده از DEA رضایت بخش و پشتیبانی از ماشین های بردار-2018 The paper examines Chinese bank efficiency with a unique sample of 127 banks during the peak
period of the global financial crisis. We apply an innovative Data Envelopment Analysis method
under a stochastic environment. In the first stage, within the ambit of the satisficing Data
Envelopment Analysis model, the probabilities of achieving a minimal performance threshold are
computed in a stochastic way. In the second subsequent stage, Support Vector Machine regres
sion is applied to discriminate between high/low efficiency groups within each performance
threshold. The results reveal that the overall efficiency level of the Chinese banks remains still
low. This is considerably determined by the contextual variables of the ownership structure and
cost structure of the Chinese banks. Policy implications are derived how to improve the corporate
governance and credit allocation.
Keywords: Banks ، China ، Satisficing DEA ، Support Vector Machines ، Performance thresholds |
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