埃塞俄比亚商业银行效率:基于数据包络分析

T. Ijara, D. Sharma
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引用次数: 2

摘要

本研究利用数据包络分析(DEA)对2014年至2018年埃塞俄比亚商业银行的整体技术效率、纯技术效率和规模效率进行了调查。中介方法应用于选择变量,CCR (Charnes, Cooper和Rhodes)模型和BCC (Banker, Charnes和Cooper)模型用于确定低效率的主要原因。研究发现,只有两家银行在所有测量类型中始终有效,总体技术、纯技术和规模效率的平均值表明,埃塞俄比亚商业银行在此期间效率低下。这一结果将对埃塞俄比亚经济产生负面影响。企业经营效率低下的主要原因是管理问题,而不是规模因素。因此,建议银行管理人员根据其各自的低效率原因采取适当的行动,埃塞俄比亚国家银行和其他监管机构应执行该政策,以提高该部门的整体效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficiency of Ethiopian commercial banks: using data envelopment analysis
This study investigates the overall technical, pure technical and scale efficiencies of Ethiopian commercial banks from 2014 to 2018 using data envelopment analysis (DEA). The intermediation approach applied to select variables, both CCR (Charnes, Cooper and Rhodes) model and BCC (Banker, Charnes and Cooper) model used to identify the main causes of inefficiency. The study found that only two banks were consistently efficient in all measurements types and the average of overall technical, pure technical and scale efficiencies reveals that Ethiopian commercial banks were inefficient during the period. This result would have negative implications on Ethiopian economy. Moreover, their inefficiency was caused mostly by management related problems than scale related factors. Therefore, the bank managers are suggested to take appropriate action based on their respective causes of inefficiency and National Bank of Ethiopia and other regulatory bodies should enforce the policy to enhance the overall efficiency of the sector.
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