• Lina Nugraha Rani Universitas Airlangga, Indonesia
  • Salina Kassim International Islamic University Malaysia, Malaysia


This study aims to measure and compare the intertemporal efficiency of Islamic banks in Indonesia and Malaysia using data envelopment analysis (DEA) together with window (intertemporal) analysis for the period 2012–2018 and applying an intermediation approach. Window analysis is used to indicate the stability of efficiency over the study period. The findings show that the intertemporal technical efficiency (TE) of Islamic banks in Indonesia was 77.4% with stability score of 0.034, which was significantly more efficient and more stable than Malaysian banks at 75.1% with stability score of 0.169. Moreover, the the intertemporal pure technical efficiency (PTE) of Islamic banks in Indonesia was 91.7% with stability score 0.020, which was also significantly more efficient and more stable than Malaysian banks at 88.0% PTE and stability score of 0.161. In contrast, the intertemporal scale efficiency (SE) of Islamic banks in Indonesia was 84.5%, slightly lower than that of Malaysian banks at 85.3% but not significantly different. PTE improvement has contributed to TE improvement, while SE has not reached an optimal level. Comparison to previous results also showed that since the global financial crisis the PTEs of Islamic banks in Indonesia and Malaysia have improved while SEs have worsened. Therefore, efforts to improve SE by expanding the size of Islamic banks to reach optimum economies of scale are urgently needed.

Keywords: Efficiency, Islamic Banks, Indonesia, Malaysia


Abbas, M., Azid, T., & Hj Besar, M. H. A. (2016). Efficiency, Effectiveness and Performance Profile of Islamic and Conventional Banks in Pakistan. Humanomics, 32(1), 2–18.

Alqahtani, F., Mayes, D. G., & Brown, K. (2017). Islamic Bank Efficiency Compared to Conventional Banks During the Global Crisis in the GCC region. Journal of International Financial Markets, Institutions and Money, 51, 58–74.

Ariss, R. T. (2010). Competitive Conditions in Islamic and Conventional Banking: A Global Perspective. Review of Financial Economics, 19(3), 101–108.

Ascarya & Yumanita, D. (2006). Analisis Efisiensi Perbankan Syariah Di Indonesia Dengan Data Envelopment Analysis [Analysis of the Efficiency of Islamic Banking in Indonesia with Data Envelopment Analysis]. TAZKIA Islamic Finance and Business Review, 1(2), 101–124.

Ascarya, & Yumanita, D. (2008a). Measuring the Competitiveness of Islamic Banking in Indonesian Dual Banking System. TAZKIA Islamic Finance and Business Review, 3(2), 72–89.

Ascarya, & Yumanita, D. (2008b). Comparing the efficiency of Islamic banks in Malaysia and Indonesia. Bulletin of Monetary Economics and Banking, 11(2), 95–119.

Bank Negara Malaysia. (2019). Financial Stability. Retrieved from

Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078–1092.

Beck, T., Demirgüç-Kunt, A., & Merrouche, O. (2010). Islamic vs. Conventional Banking: Business model, Efficiency and Stability. Policy Research Working Paper no. WPS 5446. Washington, DC: World Bank. Retrieved from

Coelli, T. J., Rao, D. S. P., O'Donnell, C. J., & Battese, G. E. (2005). An Introduction to Efficiency and Productivity Analysis. New York: Springer Science & Business Media.

Charnes, A., Clark, T., Cooper, W. W., & Golany, B. (1985). A Developmental Study of Data Envelopment Analysis in Measuring the Efficiency of Maintenance Units in the US Air Forces. Annals of Operations Research, 95–112.

Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2(6), 429–444.

Cooper, W W., Seiford, L. M., & Tone, K. (2007). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA- Solver. New York, NY: Springer Science & Business Media.

Cooper, W W., Seiford, L M., & Zhu, J. (2011). Handbook on Data Envelopment Analysis. New York, NY: Springer Science & Business Media.

Freixas, X., & Rochet, J.-C. (2008). Microeconomics of Banking. Cambridge, MA: MIT Press.

Jahanshahloo, G. R., Soleimani-Damaneh, M., & Ghobadi, S. (2015). Inverse DEA Under Inter-Temporal Dependence Using Multiple-Objective Programming. European Journal of Operational Research, 240(2), 447–456.

Kamarudin, F., Hue, C. Z., Sufian, F., & Mohamad Anwar, N. A. (2017). Does Productivity of Islamic Banks Endure Progress or Regress? Empirical Evidence Using Data Envelopment Analysis Based Malmquist Productivity Index. Humanomics, 33(1), 84–118.

Mohieldin, M. (2012). Realizing the Potential of Islamic Finance. The World Bank: Economic Premise, 77(67644), 1–7. Otoritas Jasa Keuangan. (2018). Laporan Perkembangan Keuangan Syariah Indonesia 2018 [2018 Indonesia Sharia Financial Development Report.]

OJK. (2019). Sharia Banking Statistics.

Řepková, I. (2014). Efficiency of the Czech Banking Sector Employing the DEA Window Analysis Approach. Procedia Economics and Finance, 12, 587–596.

Řepková, I. (2014). Efficiency of the Slovak Commercial Banks Applying the DEA Window Analysis. Economics and Management Engineering, 8(5), 1320–1325.

Sharma, D., Sharma, A. K., & Barua, M. K. (2013). Efficiency and Productivity of Banking Sector: A Critical Analysis of Literature and Design of Conceptual Model. Qualitative Research in Financial Markets, 5(2), 195–224.

Shawtari, F. A., Ariff, M., & Razak, S. H. A. (2015). Efficiency assessment of banking sector in Yemen using data envelopment window analysis. Benchmarking: An International Journal, 22(6), 1115–1140.

Solihin, S., Achsani, N. A., & Saptono, I. T. (2016). Islamic Banking and the Economic Integration in ASEAN. Buletin Ekonomi Moneter dan Perbankan, 19(1), 81–106.

Sufian F., & Majid, M. Z. A. (2006). Banks’ Efficiency and Share Prices in an Emerging Market: A DEA Window Analysis Approach. Oxford Journal: An International Journal of Business & Economics, 1(1), 6–20.

The World Bank. (2019). Population, Total. Retrieved from

Wanke, P., Hassan, M. K., & Gavião, L. O. (2017). Islamic Banking And Performance In The ASEAN Banking Industry: A Topsis Approach With Probabilistic Weights. International Journal of Business & Society, 18(1), 129–150.

Wanke, P., Azad, M. A. K., & Barros, C. P. (2016). Financial Distress and the Malaysian Dual Baking System: A Dynamic Slacks Approach. Journal of Banking & Finance, 66, 1–18.

Webb, R. (2003). Levels of Efficiency in UK Retail Banks: A DEA Window Analysis. International Journal of the Economics of Business, 10(3), 305–322.

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How to Cite
Rani, L., & Kassim, S. (2020). COMPARING THE INTERTEMPORAL EFFICIENCY OF ISLAMIC BANKS IN INDONESIA AND MALAYSIA. Journal of Islamic Monetary Economics and Finance, 6(4), 861 - 894.