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Efficiency, technical progress and productivity of Arab banks: A non-parametric approach

机译:阿拉伯银行的效率,技术进步和生产率:一种非参数方法

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The objective of this article is to focus on the evolution of the Arab banks' productive efficiency and the factors relating to their total productivity over the period 2000-2014. In order to study banks' efficiency and productivity, we adopt estimation techniques based on the notion of distance function to calculate the technical efficiency, allocative efficiency, cost efficiency and the total productivity of the factors. The obtained results reveal that first, technical, allocative and cost inefficiencies of Arab banks are located around 13%, 21% and 30% respectively and, second, the dispersion of efficiency is important over the study period since the coefficient of variation ranges from 18% to 39%, depending on the measure of efficiency examined. We also observe that the productivity, measured by the Malmquist and Luenberger indexes, improved by around 2.44% and 1.79% respectively, but interestingly this improvement is fully explained by the positive variation in technical progress while the technical efficiency component registered a negative variation. The results obtained by the Data Envelopment Analysis (DEA) method indicate a level of efficiency and productivity comparable to those observed in the empirical literature. They reveal, also, the existence of a banking convergence procedure and catch-up to the best practices situated on the efficient frontier. Thus, restructuring and prudential reforms explain the amelioration of Arab banks' efficiency and productivity. Finally, the factors found to be most important in explaining productivity improvements are bank size, profitability, equity ratio, and the economic growth rate, while the bank's risk ratio is associated with the degradation of productivity. (C) 2019 Board of Trustees of the University of Illinois. Published by Elsevier Inc. All rights reserved.
机译:本文的目的是着眼于阿拉伯银行在2000年至2014年期间的生产效率演变及其与总生产率相关的因素。为了研究银行的效率和生产率,我们采用基于距离函数概念的估计技术来计算技术效率,分配效率,成本效率和要素的总生产率。获得的结果表明,首先,阿拉伯银行的技术,分配和成本效率低下的比例分别位于13%,21%和30%左右;其次,在研究期间,效率的分散很重要,因为变异系数的范围为18 %到39%,取决于所检查的效率度量。我们还观察到,由Malmquist和Luenberger指数衡量的生产率分别提高了约2.44%和1.79%,但是有趣的是,这种进步可以通过技术进步的积极变化而充分说明,而技术效率要素却出现了负向变化。通过数据包络分析(DEA)方法获得的结果表明,效率和生产率水平可与经验文献中观察到的水平相提并论。他们还揭示了银行业融合程序的存在以及对高效边界上最佳实践的追赶。因此,重组和审慎的改革解释了阿拉伯银行效率和生产率的改善。最后,发现在解释生产率提高方面最重要的因素是银行的规模,盈利能力,净资产比率和经济增长率,而银行的风险比率与生产率的下降有关。 (C)2019年伊利诺伊大学董事会。由Elsevier Inc.出版。保留所有权利。

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