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A Network DBA Model with Super Efficiency and Undesirable Outputs: An Application to Bank Efficiency in China

机译:具有超高效率和不良产出的网络DBA模型:在中国银行效率中的应用

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摘要

There are two typical subprocesses in bank production-deposit generation and loan generation. Aiming to open the black box of input-output production of banks and provide comprehensive and accurate assessment on the efficiency of each stage, this paper proposes a two-stage network model with bad outputs and supper efficiency (US-NSBM). Empirical comparisons show that the US-NSBM may be promising and practical for taking the nonperforming loans into account and being able to rank all samples. Applying it to measure the efficiency of Chinese commercial banks from 2008 to 2012, this paper explores the characteristics of overall and divisional efficiency, as well as the determinants of them. Some interesting results are discovered. The polarization of efficiency occurs in the bank level and deposit generation, yet does not in the loan generation. Five hypotheses work as expected in the bank level, but not all of them are supported in the stage level. Our results extend and complement some earlier empirical publications in the bank level.
机译:银行生产中有两个典型的子过程,即存款生成和贷款生成。为了打开银行投入产出生产的黑匣子,并对各阶段的效率进行全面,准确的评估,提出了一种具有不良产出和超效率的两阶段网络模型(US-NSBM)。经验比较表明,考虑到不良贷款并能够对所有样本进行排名,US-NSBM可能是有希望且实用的。本文将其应用于衡量中国商业银行2008年至2012年的效率,探讨了整体效率和部门效率的特征,以及它们的决定因素。发现了一些有趣的结果。效率的两极分化发生在银行水平和存款产生上,而没有发生在贷款产生上。五个假设在银行级别可以按预期工作,但并非所有假设都在阶段级别得到支持。我们的结果扩展并补充了银行层面一些较早的经验性出版物。

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  • 来源
    《Mathematical Problems in Engineering》 |2014年第8期|793192.1-793192.14|共14页
  • 作者单位

    School of Economics and Trade, Hunan University, Changsha 410079, China,Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100090, China;

    School of Economics and Trade, Hunan University, Changsha 410079, China;

    School of Economics and Management, Changsha University of Technology & Science, Changsha 410004, China;

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