Dea Window Analysis for Indonesian Islamic Banks’ Efficiency

Rusydiana, Aam Slamet; As-Salafiyah, Aisyah

doi:10.21098/jimf.v7i4.1410

Cited by 5 publications

(3 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, panel data is better able to reflect the true efficiency of a DMU. For this reason, for certain cases the results of DEA window analysis are relatively more stable and can reflect the true results of the efficiency values (Rusydiana & As-Salafiyah, 2021;Marlina et al, 2023;Ikhwan & Riani, 2020).…”

Section: Theoretical Basismentioning

confidence: 89%

Intertemporal Social Efficiency on Indonesian Islamic Banks

Aam Slamet Rusydiana,

Mohammad Iqbal Irfany

2023

FWM

View full text Add to dashboard Cite

Measurement of the efficiency level of Islamic banks in Indonesia is widely carried out, but almost no study has been conducted with the DEA window analysis approach, especially in the 'social efficiency' perspective. We try to measure the social efficiency of the Islamic banks in Indonesia employing both Data Envelopment Analysis (DEA) and the DEA window analysis. For certain cases the results of the DEA window analysis are relatively more stable and can illustrate the actual results of the efficiency value. The results show that the social efficiency of Islamic banks in Indonesia from 2011-2018 are relatively fluctuated but tend to increase. From the perspective of the stability of efficiency value, we found only 4 (four) out of 11 (eleven) Islamic banks that have relatively stable efficiency levels.

show abstract

Section: Theoretical Basismentioning

confidence: 89%

Intertemporal Social Efficiency on Indonesian Islamic Banks

Aam Slamet Rusydiana,

Mohammad Iqbal Irfany

2023

FWM

View full text Add to dashboard Cite

show abstract

“…In the second stage, window analysis was conducted. This analysis provides an overview of efficiency stability through several summary statistics, namely Long Distance Per Year (LDY), Long Distance per Window (LDW), Long Distance per all Period (LDP), and standard deviation (SD) [43].…”

Section: Methodsmentioning

confidence: 99%

Efficiency and Stability of Zakat Institutions in Malaysia and Indonesia: DEA Window Analysis

Riani,

Meutia,

Taqi

et al. 2024

TEM Journal

View full text Add to dashboard Cite

The purpose of this study is to measure the efficiency and stability of zakat institutions in Indonesia and Malaysia. There are 14 zakat institutions that will be analyzed using data envelopment analysis (DEA) window analysis during the period of 2016 to 2020. The result shows that the average efficiency of zakat institution is 78% during the observation period. The inefficiency of zakat institutions from both countries is caused by the less-than-optimal distribution of zakat funds. The best performing zakat institutions are Selangor, BSMU, BRI Foundation, and Baznas because they have the highest efficiency and stability. This study has filled the gap in previous studies that measure the efficiency of zakat institutions with the standard DEA approach. Zakat institution managers can identify potential improvements in input and output variables to achieve maximum level of efficiency.

show abstract

“…In analyzing a bank's performance, bank efficiency is one of the parameters. In short, a business unit is considered fully efficient if it achieves maximum output for a specific input level or uses a minimum input level to produce a specific output level (Rusydiana & As-Salafiyah, 2021). In addition, with this efficiency assessment, banks are expected to act rationally in minimizing the level of risk faced in carrying out their operational activities (Hidayati et al, 2017).…”

Section: Dual Banking System In Indonesiamentioning

confidence: 99%

Comparative Study of Efficiency and Productivity Between Conventional Commercial Banks and Islamic Commercial Banks: Evidence From Indonesia

Herindar

Izza

2022

AIJIEF

View full text Add to dashboard Cite

Abstract This study aims to analyze and compare the efficiency and productivity of Conventional Commercial Banks (BUK) and Islamic Commercial Banks (BUS) in Indonesia, with 19 BUK and 14 BUS in Indonesia. This study uses the CRS and VRS models in analyzing efficiency with Data Envelopment Analysis while analyzing productivity using the VRS model using the Malmquist Productivity Index. The results of this study indicate that there are still BUK and BUS bankers who have not achieved maximum efficiency, and there are still many of the two types of banks with low efficiency. The leading cause of the inefficiency of BUK and BUS in Indonesia is caused by output variables, namely the amount of financing and operating income. This study also revealed that the Covid-19 pandemic caused a decrease in the efficiency of the BUK, while the efficiency of the BUS was relatively stable and even slightly increased. Furthermore, based on an analysis of productivity during the Covid-19 pandemic, BUK and BUS in Indonesia experienced an increase due to high technological changes. Then this study also revealed the results of the Malmquist index score. Changes influence changes in productivity efficiency and changes in technology. This study finds that the dominant factor that causes the increase in productivity of BUK and BUS in Indonesia is influenced by technological change factors. Thus digitalization in the banking industry sector is essential. This research also provides recommendations for several parties, such as practitioners, academics, and regulators

show abstract

Dea Window Analysis for Indonesian Islamic Banks’ Efficiency

Cited by 5 publications

References 36 publications

Intertemporal Social Efficiency on Indonesian Islamic Banks

Intertemporal Social Efficiency on Indonesian Islamic Banks

Efficiency and Stability of Zakat Institutions in Malaysia and Indonesia: DEA Window Analysis

Comparative Study of Efficiency and Productivity Between Conventional Commercial Banks and Islamic Commercial Banks: Evidence From Indonesia

Contact Info

Product

Resources

About