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DEA considering technological heterogeneity and intermediate output target setting: the performance analysis of Chinese commercial banks

机译:考虑技术异质性和中间产出目标环境的DEA:中国商业银行的绩效分析

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摘要

This study proposes a two-stage data envelopment analysis model based on the meta-frontier boundary and intermediate output goal setting. Comparing to the traditional models, the proposed model is able not only to consider technology heterogeneity of decision making units, but also to target the intermediate output. The proposed model was applied to an analysis of 28 Chinese commercial banks (CCBs). Empirical analysis has obtained some valuable research results. First, the efficiency of the CCBs' deposit sub-system is not very high, especially in terms of the deposit efficiency of city commercial banks (CBs). Second, in the deposit sub-system, the efficiency gap among state-owned commercial banks (SBs) is higher than the joint stock commercial banks (JBs) and the CBs. Third, in the loan sub-system, the efficiency gap among SBs and CBs is higher than that in the JBs. Fourth, the deposits of more than half of CCBs are not on the frontier of efficiency, showing that the financial resource allocation of CCBs is severely ineffective. Finally, this study divides CCBs into four categories and provides specific recommendations to improve performance and deposit target setting.
机译:本研究提出了一种基于元边界边界和中间输出目标设置的两级数据包络分析模型。与传统模型相比,所提出的模型不仅可以考虑决策单元的技术异质性,还能够瞄准中间输出。拟议的模型适用于28家中国商业银行(CCBS)的分析。实证分析已获得一些有价值的研究结果。首先,CCBS存款子系统的效率不是很高,特别是在城市商业银行(CBS)的存款效率方面。其次,在存款子系统中,国有商业银行(SBS)之间的效率差距高于联合股票商业银行(JBS)和CBS。第三,在贷款子系统中,SBS和CBS之间的效率差距高于JBS中的效率。第四,超过一半的CCB的存款不是效率前沿,表明CCB的财务资源分配严重无效。最后,本研究将CCBS分为四类,并提供了提高性能和存款目标设置的具体建议。

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