EFFICIENT COMPARISON OF THE TOP 10 LARGEST COMMERCIAL BANKS IN INDONESIA: DEA (DATA ENVELOPMENT ANALYSIS)

A. Christianti
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Abstract

Banking efficiency is very important in supporting the success of macro policies specifically, maintaining the sustainability of development that affects economic growth and social welfare. This study discusses the efficiency of commercial banks for the 2015-2019 period using data from the 10 largest commercial banks in Indonesia. The methodology used is non-parametric, Data Envelopment Analysis, to analyze technical efficiency. The results showed that 7 banks had a maximum efficiency level consistently during the study period and there were still 3 banks that did not reach the maximum efficiency but during certain periods or periods. Based on the results of the DEA, inefficient banks in a certain period can achieve maximum efficiency by reducing inputs such as labor costs, net fixed assets, and the number of deposits. This might be attributed that the competition in the banking industry and because not all inputs could be controlled by management, some large banks cannot maintain their level of efficiency consistently.
印度尼西亚十大商业银行的有效比较:dea(数据包络分析)
银行效率对于支持宏观政策的成功,特别是维持影响经济增长和社会福利的发展的可持续性非常重要。本研究使用印度尼西亚10家最大商业银行的数据讨论了2015-2019年期间商业银行的效率。采用非参数的数据包络分析方法来分析技术效率。结果表明,7家银行在研究期内始终保持最高效率水平,还有3家银行在特定时期或时间段内没有达到最高效率水平。根据DEA的结果,在一定时期内,效率低下的银行可以通过减少劳动力成本、净固定资产、存款数量等投入来实现效率最大化。这可能是由于银行业的竞争,因为不是所有的投入都可以由管理层控制,一些大银行不能始终保持他们的效率水平。
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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