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Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA

机译:使用加法两阶段DEA的中国商业银行系统效率衡量

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摘要

Measuring and improving the efficiency of the Chinese commercial banking system has recently attracted increasing interest. Few studies, however, have adopted the two-stage network DEA to explore this issue in the Chinese context. Because the entire operational process of the banking system could be divided into two sub-processes (deposit producing and profit earning), the evaluation of the sub-process efficiencies could be used to assist in identifying the sources of the inefficiency of the entire banking system. In this study, we utilize the network DEA approach to disaggregate, evaluate and test the efficiencies of 16 major Chinese commercial banks during the third round of the Chinese banking reform period (2003-2011) with the variable returns to scale setting and the consideration of undesirable/bad output. The main findings of this study are as follows: (ⅰ) the two-stage DEA model is more effective than the conventional black box DEA model in identifying the inefficiency of banking system, and the inefficiency of the Chinese banking system primarily results from the inefficiency of its deposit producing sub-process; (ⅱ) the overall efficiency of the Chinese banking system improves over the study period because of the reform; (ⅲ) the state-owned commercial banks (SOBs) appear to be more overall efficient than the joint-stock commercial banks (JSBs) only in the pre-reform period, and the efficiency difference between the SOBs and the JSBs is reduced over the post-reform period; (ⅳ) the disposal of non-performing loans (NPLs) from the Chinese banking system in general explains its efficiency improvement, and the joint-equity reform of the SOBs specifically increases their efficiencies.
机译:衡量和提高中国商业银行系统的效率最近引起了越来越多的兴趣。然而,很少有研究采用两阶段网络DEA在中国背景下探讨这一问题。由于银行系统的整个运营过程可以分为两个子过程(存款生产和利润获利),因此可以对子过程效率进行评估,以帮助确定整个银行系统效率低下的根源。在这项研究中,我们使用网络DEA方法对16家中国大型商业银行在中国银行业改革第三轮(2003-2011年)第三轮期间的效率进行分解,评估和测试,并获得可变规模收益和考虑不良/不良输出。这项研究的主要发现如下:(ⅰ)两阶段DEA模型在识别银行系统效率低下方面比常规黑盒DEA模型更有效,而中国银行系统效率低下的主要原因是效率低下其存款产生子流程; (ⅱ)由于改革,中国银行体系的整体效率在研究期内有所提高; (ⅲ)仅在改革前,国有商业银行(SOB)的整体效率似乎要比股份制商业银行(JSB)的总体效率高,并且在整个改革过程中,SOB和JSB之间的效率差异有所减小。改革后时期; (ⅳ)从中国银行体系中处置不良贷款通常可以解释其效率的提高,而国有银行的股份制改革特别提高了它们的效率。

著录项

  • 来源
    《Omega》 |2014年第4期|5-20|共16页
  • 作者单位

    School of Management and Economics, Beijing Institute of Technology, 5 South Zhongguancun Street, Beijing 100081, PR China;

    Department of Risk Management and Insurance, University of International Business and Economics, Beijing 100029, PR China;

    School of Management, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui Province 230026, PR China;

    Department of Physics and Astronomy, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L3G1, Canada;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Chinese commercial banks; Data envelopment analysis (DEA); Efficiency decomposition; Two-stage DEA;

    机译:中国商业银行;数据包络分析(DEA);效率分解;两阶段DEA;

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