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The efficiency of Islamic Banks in the Southeast Asia (SEA) Region

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  • Mohammad Abdul Matin Chowdhury

    (International Islamic University Malaysia)

  • Razali Haron

    (International Islamic University Malaysia)

Abstract

The Islamic banking sector has become a crucial part of the global banking industry. Despite the Islamic banking industry’s encouraging growth in the Southeast Asia (SEA) region, prior studies mostly focused on Islamic banks’ efficiency in the individual country. To fill the literature gap, this study aims to measure the efficiency and productivity growth of Islamic banks in the SEA region. This study adopted the DEA technique and the Malmquist productivity index to evaluate 31 Islamic banks’ performance in SEA from 2014 to 2019. The results evidenced an improvement in efficiency and progress in productivity for the banks in the region. The findings documented better efficiency and gradual progress in productivity for Islamic banks in Indonesia, consistent efficiency for Malaysia, a significant improvement for Brunei; hence, both Thailand and the Philippines Islamic bank depicted a drop-in efficiency for 2019. The findings trigger bank managers to acknowledge the inefficiencies and their sources. Investors and policymakers may find the findings useful in observing the banks’ performance; thus, taking effective mechanism and policies to promote competent and sustainable SEA Islamic banks in the long run.

Suggested Citation

  • Mohammad Abdul Matin Chowdhury & Razali Haron, 2021. "The efficiency of Islamic Banks in the Southeast Asia (SEA) Region," Future Business Journal, Springer, vol. 7(1), pages 1-16, December.
    • Handle: RePEc:spr:futbus:v:7:y:2021:i:1:d:10.1186_s43093-021-00062-z
    DOI: 10.1186/s43093-021-00062-z
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    1. Anas Azzabi & Younes Lahrichi, 2023. "Bank Performance Determinants: State of the Art and Future Research Avenues," Papers 2311.08617, arXiv.org, revised Mar 2024.
    2. S. M. Shamsul Alam & Mohammad Abdul Matin Chowdhury & Dzuljastri Bin Abdul Razak, 2021. "Research evolution in banking performance: a bibliometric analysis," Future Business Journal, Springer, vol. 7(1), pages 1-19, December.
    3. Mohammad Arashi & Mohammad Mahdi Rounaghi, 2022. "Analysis of market efficiency and fractal feature of NASDAQ stock exchange: Time series modeling and forecasting of stock index using ARMA-GARCH model," Future Business Journal, Springer, vol. 8(1), pages 1-12, December.

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