Banking Efficiency Analysis with Data Envelopment Analysis Method on Registered Commercial Banks on the Indonesia Stock Exchange

Jessi Arsitha (), Isfenti Sadalia and Rulianda Purnomo Wibowo
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Jessi Arsitha: Universitas Sumatera Utara
Isfenti Sadalia: Universitas Sumatera Utara
Rulianda Purnomo Wibowo: Universitas Sumatera Utara

A chapter in Proceedings of the 7th Global Conference on Business, Management, and Entrepreneurship (GCBME 2022), 2024, pp 36-43 from Springer

Abstract: Abstract This study aims to analyze the efficiency level of commercial banks listed on the Indonesia Stock Exchange for the period between 2015 and 2019 and to analyze the efficiency level of commercial banks according to bank groups based on bank core capital. This type of research was quantitative research. This study used the Data Envelopment Analysis method with a Variable Return to Scale model using an intermediation approach. The results of this study indicated that the average banking efficiency score on the Indonesia Stock Exchange during the 2015–2019 research period was 0.949630. Of the 35 banks analyzed, there were only three commercial banks that were able to maintain a level of technical efficiency of 100 percent or 1 (efficient) in a row during 2015–2019, and thirty-two other banks that had not yet achieved 100 percent or 1 efficiency. The results of the study found that large banks were more efficient than medium and small banks.

Keywords: Commercial Banks; Data Envelopment Analysis (DEA); Efficiency (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-234-7_5

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DOI: 10.2991/978-94-6463-234-7_5

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