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Assessing the global productive efficiency of Chinese banks using the cross-efficiency interval and VIKOR

机译:使用交叉效率区间和VIKOR评估中资银行的全球生产效率

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The banking industry plays an essential role in China's economic growth, and the assessment of bank efficiency has attracted increasing interest in the past two decades. Given that the data envelopment analysis cross-efficiency method can provide a more reliable reference set, a large number of studies targeting performance evaluation and its applications adopt this method. Few studies, however, address the issue of the non-uniqueness of weights in cross-efficiency evaluation. Whereas, this paper proposes a cross-efficiency interval considering all weighting schemes along with a VIKOR aggregate model to gauge the universal productive efficiency of 16 major Chinese commercial banks of China and rank them for the period of 2007-14. Specifically, we use the cross-efficiency interval to generate the global performance of each bank based on internal and external assessment while using VIKOR to compare the solution with the attitude index which ranks all of the banks. The results indicate that the cross-efficiency interval can provide more information than the traditional DEA model, that the banking system efficiency of China has been improved during the study period, especially for SOBs; that JSBs are more efficient compared with SOBs; and the efficiency gap narrowed during the study period. (C) 2017 Elsevier B.V. All rights reserved.
机译:银行业在中国经济增长中起着至关重要的作用,过去二十年来,对银行效率的评估吸引了越来越多的关注。鉴于数据包络分析交叉效率方法可以提供更可靠的参考集,因此针对性能评估的大量研究及其应用都采用这种方法。但是,很少有研究解决交叉效率评估中权重不唯一的问题。鉴于此,本文提出了一个跨效率区间,其中考虑了所有权重方案以及VIKOR汇总模型,以衡量中国16家主要中国商业银行的普遍生产效率并将其在2007-14年期间进行排名。具体而言,我们使用交叉效率区间基于内部和外部评估来生成每个银行的整体绩效,同时使用VIKOR将解决方案与对所有银行进行排名的态度指数进行比较。结果表明,交叉效率区间可以提供比传统DEA模型更多的信息,在研究期间,中国的银行系统效率有所提高,特别是对于SOB。与SBB相比,JSB效率更高;在研究期间,效率差距缩小了。 (C)2017 Elsevier B.V.保留所有权利。

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