Analysis of Banking Efficiency in Indonesia: Data Envelopment Analysis Approach
- DOI
- 10.2991/aebmr.k.220702.019How to use a DOI?
- Keywords
- Banking Efficiency; DEA
- Abstract
The banking sector is the main form intermediation of financial for the household sector in the form of consumer credit disbursement, as well as providing financial transaction services to the public. In 2020, the banking sector dominates the Indonesian financial system by 77.98%. This means that the total assets of financial institutions are generally managed by the banking sector. The banking sector is expected to play an important role in maintain their performance to be more efficient. This study aims to determine and analyze the value of banking efficiency from 2010 to 2019 at 59 banks in Indonesia consisting of BUMN banks, regional development banks and BUMS foreign exchange banks which are considered to represent the banking system in Indonesia. The type of research used is descriptive with a quantitative approach. The type of data used is secondary data. This study uses a Data Envelopment Analysis (DEA) approach. The results of this study indicate that based on the DEA method, the most efficient BPD banks occurred in 2010 namely 13 banks, for BUMS Foreign Exchange Banks the most efficient number of banks occurred in 2012 as many as 11 banks, and in BUMN Banks in 2010 all BUMN banks been efficient.
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Rino Vidianata AU - Doni Satria PY - 2022 DA - 2022/07/21 TI - Analysis of Banking Efficiency in Indonesia: Data Envelopment Analysis Approach BT - Proceedings of the Eighth Padang International Conference On Economics Education, Economics, Business and Management, Accounting and Entrepreneurship (PICEEBA-8 2021) PB - Atlantis Press SP - 127 EP - 133 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.220702.019 DO - 10.2991/aebmr.k.220702.019 ID - Vidianata2022 ER -