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

In: Proceedings of the 7th Global Conference on Business, Management, and Entrepreneurship (GCBME 2022)

Author

Listed:
  • Jessi Arsitha

    (Universitas Sumatera Utara)

  • Isfenti Sadalia

    (Universitas Sumatera Utara)

  • Rulianda Purnomo Wibowo

    (Universitas Sumatera Utara)

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.

Suggested Citation

  • Jessi Arsitha & Isfenti Sadalia & Rulianda Purnomo Wibowo, 2024. "Banking Efficiency Analysis with Data Envelopment Analysis Method on Registered Commercial Banks on the Indonesia Stock Exchange," Advances in Economics, Business and Management Research, in: Ratih Hurriyati & Lili Adi Wibowo & Ade Gafar Abdullah & Sulastri & Lisnawati & Yusuf Murtadlo (ed.), Proceedings of the 7th Global Conference on Business, Management, and Entrepreneurship (GCBME 2022), pages 36-43, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-234-7_5
    DOI: 10.2991/978-94-6463-234-7_5
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