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Performance of banks in countries of the Gulf Cooperation Council

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  • Ramakrishnan Ramanathan

Abstract

Purpose - The purpose of this paper is to assess the performance of banks in countries of the Gulf Cooperation Council (GCC). Design/methodology/approach - Performances of 55 banks operating in countries of the GCC are examined in this study using data envelopment analysis (DEA) and Malmquist productivity index (MPI). When DEA is used, the bank(s) that registered the highest efficiency is used as benchmark and the performance of other banks are evaluated relative to this benchmark. Two outputs and four inputs are employed for the performance measurement. MPI is used to analyze the patterns of efficiency change over the period 2000‐2004. Findings - DEA efficiencies are calculated for the year 2004. Results show that only 15 of the 55 banks are rated as efficient under constant returns to scale (CRS) assumption, and all the GCC countries have at least one efficient bank. The analysis using MPI has shown that banks in four of the six GCC countries (Bahrain, Kuwait, Saudi Arabia and the UAE) registered productivity improvements during 2000‐2004. The selected banks in Bahrain have shown the highest productivity improvements during this period, while the selected banks in Qatar have registered the highest reductions in productivity during this period. Interestingly, all the countries seem to have registered reductions in productivity in terms of technology change. Research limitations/implications - More banks could not be considered in this study due to non‐availability of consistent data. Since performance of banks in more than one country have been compared, we have used a common unit of monetary measurement. Originality/value - This study is first to study the performance of banks in the Middle East, with the exception of a study of selected banks in Kuwait.

Suggested Citation

  • Ramakrishnan Ramanathan, 2007. "Performance of banks in countries of the Gulf Cooperation Council," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(2), pages 137-154, January.
    • Handle: RePEc:eme:ijppmp:v:56:y:2007:i:2:p:137-154
    DOI: 10.1108/17410400710722635
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    Citations

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    Cited by:

    1. Olson, Dennis & Zoubi, Taisier A., 2011. "Efficiency and bank profitability in MENA countries," Emerging Markets Review, Elsevier, vol. 12(2), pages 94-110, June.
    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. Udhayakumar, A. & Charles, V. & Kumar, Mukesh, 2011. "Stochastic simulation based genetic algorithm for chance constrained data envelopment analysis problems," Omega, Elsevier, vol. 39(4), pages 387-397, August.
    4. Osama M. Al-Hares (Correspondnce author) & Kashif Saleem, 2017. "Islamic Banks Financial Performance and Implications of Basel III Standards in the GCC: An Empirical Analysis," Review of Economics & Finance, Better Advances Press, Canada, vol. 7, pages 80-97, February.
    5. Avkiran, Necmi K., 2009. "Opening the black box of efficiency analysis: An illustration with UAE banks," Omega, Elsevier, vol. 37(4), pages 930-941, August.
    6. Richard Simper & Maximilian J.B. Hall & Wenbin B. Liu & Valentin Zelenyuk & Zhongbao Zhou, 2014. "How Relevant is the Choice of Risk Management Control Variable to Non-parametric Bank Profit Efficiency Analysis?," CEPA Working Papers Series WP122014, School of Economics, University of Queensland, Australia.
    7. Colesnic, Olga & Kounetas, Konstantinos & Michael, Polemis, 2020. "Estimating risk efficiency in Middle East banks before and after the crisis: A metafrontier framework," Global Finance Journal, Elsevier, vol. 46(C).
    8. 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.
    9. Avkiran, Necmi K. & Thoraneenitiyan, Nakhun, 2010. "Purging data before productivity analysis," Journal of Business Research, Elsevier, vol. 63(3), pages 294-302, March.
    10. 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.
    11. Debmallya Chatterjee & Amol S. Dhaigude, 2020. "An Integrated Fuzzy Cognitive Map Approach in Modelling Factors of Management Quality in Banking Performance," Global Business Review, International Management Institute, vol. 21(3), pages 763-779, June.
    12. Muhammad Imran Qureshi & Adeela Rustam & Sehrish Rustam & Abdullah Bin Umar & Khalid Zaman, 2012. "Measuring Bank Branch Performance in Pakistan: Data Envelopment Analysis (DEA)," Oeconomics of Knowledge, Saphira Publishing House, vol. 4(4), pages 25-40, October.
    13. Michael O. Nyong, 2017. "Relative Efficiency of Commercial Banks in Nigeria: A Nonparametric Mathematical Optimization Analysis," Noble International Journal of Economics and Financial Research, Noble Academic Publsiher, vol. 2(2), pages 27-49, February.
    14. 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.
    15. Richard Simper & Maximilian J. B. Hall & WenBin Liu & Valentin Zelenyuk & Zhongbao Zhou, 2017. "How relevant is the choice of risk management control variable to non-parametric bank profit efficiency analysis? The case of South Korean banks," Annals of Operations Research, Springer, vol. 250(1), pages 105-127, March.
    16. Tahiri, Noor Rahman, 2018. "Study on financial performance of da Afghanistan Bank 2015 and 2016," MPRA Paper 88477, University Library of Munich, Germany, revised 15 Aug 2018.
    17. Filzah Mohamed Othman & Nor Aiza Mohd-Zamil & Siti Zaleha Abdul Rasid & Amin Vakilbashi & Mozhdeh Mokhber, 2016. "Data Envelopment Analysis: A Tool of Measuring Efficiency in Banking Sector," International Journal of Economics and Financial Issues, Econjournals, vol. 6(3), pages 911-916.

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