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Measuring and explaining the efficiencies of the United Arab Emirates banking system

Author

Listed:
  • Fatima S. Al Shamsi
  • Hassan Aly
  • Mohamed El-Bassiouni

Abstract

Using newly collected data from a survey distributed to all banks in the United Arab Emirates (UAE), this article measures economic efficiency in the banking industry, namely allocative, technical, pure technical and scale efficiency. Employing a nonparametric Data Envelopment Analysis (DEA) approach, the study estimates the efficiency for a cross section of the UAE banks in 2004. The results indicate that the dominant source of inefficiency in the UAE banking is stemming from allocative inefficiency rather than technical inefficiency. Furthermore, the main source of the relatively small size, technical inefficiency in the UAE banking industry is not the scale inefficiency but rather pure technical inefficiency. The results further indicate that the UAE banks are able to use their input resources more efficiently when they have more branches, and that newer banks are performing better than older banks on average. Moreover, the results also show that short experiences of employees affect efficiencies negatively and government ownership tends to reduce efficiency (as the government shares increase in the bank, the efficiency scores get lower). Finally, the most interesting results have to do with finding higher average efficiencies in banks that employ more women, more managers and less national citizens of the UAE.

Suggested Citation

  • Fatima S. Al Shamsi & Hassan Aly & Mohamed El-Bassiouni, 2009. "Measuring and explaining the efficiencies of the United Arab Emirates banking system," Applied Economics, Taylor & Francis Journals, vol. 41(27), pages 3505-3519.
    • Handle: RePEc:taf:applec:v:41:y:2009:i:27:p:3505-3519
    DOI: 10.1080/00036840801964773
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    References listed on IDEAS

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    1. David A Grigorian & Vlad Manole, 2006. "Determinants of Commercial Bank Performance in Transition: An Application of Data Envelopment Analysis," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 48(3), pages 497-522, September.
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    Cited by:

    1. Mohammad Naim Chaker, 2015. "Consumers' Perceptions of Banks Country of Origin in the UAE," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 3(3), pages 25-34.
    2. Imad Bou-Hamad & Abdel Latef Anouze & Denis Larocque, 2017. "An integrated approach of data envelopment analysis and boosted generalized linear mixed models for efficiency assessment," Annals of Operations Research, Springer, vol. 253(1), pages 77-95, June.
    3. Carlos Pestana Barros & Emanuel Reis Leão & Nkanga Pedro João Macanda & Zorro Mendes, 2016. "A Bayesian Efficiency Analysis of Angolan Banks," South African Journal of Economics, Economic Society of South Africa, vol. 84(3), pages 484-498, September.
    4. 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).
    5. Ali Said, 2015. "The Influence of Oil Prices on Islamic Banking Efficiency Scores during the Financial Crisis: Evidence from the MENA Area," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 4(3), pages 35-43, July.
    6. Rahman, Syarifah & Masih, Mansur, 2018. "The vulnerability of Islamic bank’s credit risk to oil price shocks: evidence from Malaysia based on ARDL approach," MPRA Paper 106776, University Library of Munich, Germany.
    7. Roger Frantz, 2018. "Harvey Leibenstein, and an anomaly called X-Efficiency," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 2(1), pages 25-31, March.
    8. 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.

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