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Modeling the efficiency of GCC banks: a data envelopment analysis approach

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  • Mohamed Mostafa

Abstract

Purpose - The major aim of this research is to measure the relative efficiency of the top 50 Gulf Cooperation Council (GCC) banks. The sensitivity of the results is also investigated. Design/methodology/approach - Data envelopment analysis (DEA) was used to evaluate the relative efficiency of GCC banks. Cross‐sectional data for the year 2005 were used to conduct the analysis. Findings - The results indicate that the performance of several banks is sub‐optimal, suggesting the potential for significant improvements. Separate benchmarks were derived for possible reductions in resources used, and significant savings are possible on this account. Originality/value - From a policy perspective, this study highlights the importance of encouraging increased efficiency throughout the banking industry in the GCC.

Suggested Citation

  • Mohamed Mostafa, 2007. "Modeling the efficiency of GCC banks: a data envelopment analysis approach," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(7), pages 623-643, September.
    • Handle: RePEc:eme:ijppmp:v:56:y:2007:i:7:p:623-643
    DOI: 10.1108/17410400710823651
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    Citations

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    Cited by:

    1. Raja Prasad S.V.S., 2019. "Measuring the Efficiency of Indian Real Estate Firms During the Pre- and Post-Demonetization Period by Adopting Data Envelopment Analysis," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 7(1), pages 98-109, January.
    2. Saleh, Ali Salman & Moradi-Motlagh, Amir & Zeitun, Rami, 2020. "What are the drivers of inefficiency in the Gulf Cooperation Council banking industry? A comparison between conventional and Islamic banks," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
    3. Alexakis, Christos & Izzeldin, Marwan & Johnes, Jill & Pappas, Vasileios, 2019. "Performance and productivity in Islamic and conventional banks: Evidence from the global financial crisis," Economic Modelling, Elsevier, vol. 79(C), pages 1-14.
    4. Michael Adusei, 2016. "Determinants of bank technical efficiency: Evidence from rural and community banks in Ghana," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1199519-119, December.
    5. Maghyereh, Aktham I. & Awartani, Basel, 2012. "Financial integration of GCC banking markets: A non-parametric bootstrap DEA estimation approach," Research in International Business and Finance, Elsevier, vol. 26(2), pages 181-195.
    6. Adusei, Michael, 2019. "Board gender diversity and the technical efficiency of microfinance institutions: Does size matter?," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 393-411.
    7. Jill Johnes & Marwan Izzeldin & Vasileios Pappas, 2012. "A comparison of performance of Islamic and conventional banks 2004 to 2009," Working Papers 12893801, Lancaster University Management School, Economics Department.
    8. 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.
    9. Achraf Haddad & Anis El Ammari & Abdelfettah Bouri, 2019. "Comparative Study of Ambiguity Resolution between the Efficiency of Conventional and Islamic Banks in a Stable Financial Context," International Journal of Economics and Financial Issues, Econjournals, vol. 9(5), pages 111-129.

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