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Minimum distance efficiency measure in bank production: A directional slack inefficiency approach
Journal of the Operational Research Society ( IF 3.6 ) Pub Date : 2021-06-29 , DOI: 10.1080/01605682.2021.1943020
Hirofumi Fukuyama 1 , Roman Matousek 2, 3 , Nickolaos G. Tzeremes 4
Affiliation  

Abstract

In the non-radial efficiency measurement literature, it is common to estimate technical (in)efficiency by maximising weighted slacks primarily from the computational viewpoint. This means that efficiency measures and targets are obtained based on farthest distance projections. However, when the decision making units (DMUs) operate at less than the efficient scale, such modelling approach can be very restrictive. This paper proposes a minimum distance Data Envelopment Analysis (DEA) model in order to evaluate the efficiency of Japanese banking sector over the period 2013–2019. The proposed model is based on Koopmans notion of strong efficiency. When comparing our findings from the minimum distance slack inefficiency model with those against the traditional slack inefficiency model, we find significant differences. These differences are primarily based on the way the benchmark targets have been set in the two methodological frameworks. Finally our finding brings forward the importance and the implications on bank efficiency measurement, when non-feasible targets are set during the bank efficiency evaluation.



中文翻译:

银行生产中的最小距离效率度量:定向松弛无效率方法

摘要

在非径向效率测量文献中,通常通过主要从计算角度最大化加权松弛来估计技术(无效)效率。这意味着效率措施和目标是根据最远距离预测获得的。但是,当决策单元 (DMU) 以低于有效规模运行时,这种建模方法可能会受到很大限制。本文提出了一个最小距离数据包络分析 (DEA) 模型,以评估日本银行业在 2013-2019 年期间的效率。所提出的模型基于 Koopman 的强效率概念。当比较我们从最小距离松弛低效率模型与传统松弛低效率模型的结果时,我们发现了显着差异。这些差异主要基于两种方法框架中设定基准目标的方式。最后,我们的发现提出了在银行效率评估过程中设定不可行目标时对银行效率测量的重要性和影响。

更新日期:2021-06-29
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