Investigating Eurosystem Central Banking Efficiency: A Data Envelopment Analysis Approach

M. Ihaddaden
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引用次数: 2

Abstract

Very few studies investigated central banking efficiency. Although Data Envelopment Analysis is widely used to measure efficiency within the banking industry, it has surprisingly never been implemented in a central banking context. In our study, we employ a radial DEA model to measure Eurosystem central banking efficiency. The Eurosystem monetary scheme offers interesting properties that allow DEA to be implemented with minimum noise. Considering price stability as the core Eurosystem mission, our results point out that National Central Banks (NCBs) operate at an average Technical Efficiency of 58.37% which indicates a significant scope for improvement. In addition, we observe an important disparity between NCBs' efficiency scores. We find the efficient units to be the central banks of Spain, Finland, the Netherlands and Lithuania while the most inefficient units are the central banks of Malta and Greece with a technical efficiency of 19.76% and 14.20% respectively. Finally, analyzing the peer units' set, we've reached the conclusion that the central banks of Spain and Finland should be designated as the leading NCBs in the context of a central banking efficiency improvement's project.
研究欧元体系中央银行效率:一个数据包络分析方法
很少有研究调查中央银行的效率。虽然数据包络分析被广泛用于衡量银行业的效率,但令人惊讶的是,它从未在中央银行的背景下实施。在我们的研究中,我们采用径向DEA模型来衡量欧元体系中央银行的效率。欧元体系的货币体系提供了一些有趣的特性,使DEA能够以最小的噪音实施。考虑到价格稳定是欧元体系的核心使命,我们的结果指出,各国中央银行(ncb)的平均技术效率为58.37%,这表明有很大的改进空间。此外,我们观察到新闻机构的效率得分之间存在重要差异。我们发现效率最高的单位是西班牙、芬兰、荷兰和立陶宛的中央银行,而效率最低的单位是马耳他和希腊的中央银行,其技术效率分别为19.76%和14.20%。最后,通过对同行单位集的分析,我们得出结论,在中央银行效率提升项目的背景下,西班牙和芬兰的中央银行应该被指定为领先的国家银行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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