IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/29884.html
   My bibliography  Save this paper

Technical efficiency analysis of banks in major oil exporting Middle East countries

Author

Listed:
  • Onour, Ibrahim
  • Abdalla, Abdelgadir

Abstract

This paper investigates efficiency performance of thirty six banks operating in Gulf Cooperation Council (GCC) countries during the period 2006-2008 . Our results indicate in general GCC banks showed considerable pure technical efficiency in the past three years with the year 2007 exhibit the most efficient year, as the number of pure technical efficient banks reached 33 percent of the total banks compared to 25 percent in 2008. The fall in technical efficiency in 2008 is due to simultaneous fall in pure technical efficiency and the scale efficiency. The output loss caused by scale inefficiency (fall of scale operations below optimum level) in 2008 is estimated 16 percent compared to 5 percent in 2007. Our results also indicate scale efficiency is inversely related to banks' size implying a major source of scale inefficiency in GCC banks is due to sub-optimal size of operations. It is also indicated in the paper that scale efficiency is inversely related to risk, implying effective risk management policies may also enhance scale efficiency.

Suggested Citation

  • Onour, Ibrahim & Abdalla, Abdelgadir, 2011. "Technical efficiency analysis of banks in major oil exporting Middle East countries," MPRA Paper 29884, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:29884
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/29884/1/MPRA_paper_29884.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Miller, Stephen M. & Noulas, Athanasios G., 1996. "The technical efficiency of large bank production," Journal of Banking & Finance, Elsevier, vol. 20(3), pages 495-509, April.
    2. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    3. Drake, Leigh & Hall, Maximilian J. B., 2003. "Efficiency in Japanese banking: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 27(5), pages 891-917, May.
    4. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Onour, Ibrahim, 2011. "قياس الكفاءة الفنية لبنوك دول مجلس التعاون الخليجي [Testing technical efficiency of banks in GCC countries]," MPRA Paper 29991, University Library of Munich, Germany.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. onour, Ibrahim, 2015. "Efficiency of sugar industry in Sudan: Data Envelopment Analysis," MPRA Paper 61821, University Library of Munich, Germany.
    2. Onour, Ibrahim & Abdalla, Abdelgadir, 2010. "Scale and Technical Efficiency of Islamic Banks in Sudan: Data Envelopment Analysis," MPRA Paper 29885, University Library of Munich, Germany.
    3. Onour, Ibrahim, 2011. "قياس الكفاءة الفنية لبنوك دول مجلس التعاون الخليجي [Testing technical efficiency of banks in GCC countries]," MPRA Paper 29991, University Library of Munich, Germany.
    4. Onour, Ibrahim, 2018. "The cost of mismanagement of gold production in Sudan," MPRA Paper 83921, University Library of Munich, Germany.
    5. A.I. Dimitras & K. Kosmidou & A.K. Apostolou, 2010. "Bank efficiency estimation and the change of the accounting standards: evidence from Greece," International Journal of Managerial and Financial Accounting, Inderscience Enterprises Ltd, vol. 2(1), pages 20-39.
    6. Pankaj Dutta & Aayush Jain & Asish Gupta, 2020. "Performance analysis of non-banking finance companies using two-stage data envelopment analysis," Annals of Operations Research, Springer, vol. 295(1), pages 91-116, December.
    7. repec:lan:wpaper:1108 is not listed on IDEAS
    8. Chen, Yu-Chuan & Chiu, Yung-Ho & Huang, Chin-Wei & Tu, Chien Heng, 2013. "The analysis of bank business performance and market risk—Applying Fuzzy DEA," Economic Modelling, Elsevier, vol. 32(C), pages 225-232.
    9. Fadzlan Sufian & Muzafar Shah Habibullah, 2010. "Financial Disruptions and the Evolution of Malaysian Banking Sector’s Efficiency: A Non-Stochastic Frontier Approach," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 166-186.
    10. Yung-Ho Chiu & Yu-Chuan Chen & Xue-Jie Bai, 2011. "Efficiency and risk in Taiwan banking: SBM super-DEA estimation," Applied Economics, Taylor & Francis Journals, vol. 43(5), pages 587-602.
    11. Fukuyama, Hirofumi & Matousek, Roman & Tzeremes, Nickolaos G., 2022. "Bank production with nonperforming loans: A minimum distance directional slack inefficiency approach," Omega, Elsevier, vol. 113(C).
    12. Fotios Pasiouras & Aggeliki Liadaki & Constantin Zopounidis, 2008. "Bank efficiency and share performance: evidence from Greece," Applied Financial Economics, Taylor & Francis Journals, vol. 18(14), pages 1121-1130.
    13. Pasiouras, Fotios, 2008. "Estimating the technical and scale efficiency of Greek commercial banks: The impact of credit risk, off-balance sheet activities, and international operations," Research in International Business and Finance, Elsevier, vol. 22(3), pages 301-318, September.
    14. Dipasha Sharma, 2018. "Stock Market Performance and Efficiency of Banks in a Developing Economy: Evidence from the Indian Banking Sector," IIM Kozhikode Society & Management Review, , vol. 7(2), pages 178-193, July.
    15. Sufian, Fadzlan, 2009. "Determinants of bank efficiency during unstable macroeconomic environment: Empirical evidence from Malaysia," Research in International Business and Finance, Elsevier, vol. 23(1), pages 54-77, January.
    16. Sufian, Fadzlan, 2006. "The Efficiency Of Islamic Banking Industry: A Non-Parametric Analysis With Non-Discretionary Input Variable," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 14, pages 54-87.
    17. Sakouvogui Kekoura & Shaik Saleem & Addey Kwame Asiam, 2020. "Cluster-Adjusted DEA Efficiency in the presence of Heterogeneity: An Application to Banking Sector," Open Economics, De Gruyter, vol. 3(1), pages 50-69, January.
    18. Lo, Shih-Fang & Lu, Wen-Min, 2009. "An integrated performance evaluation of financial holding companies in Taiwan," European Journal of Operational Research, Elsevier, vol. 198(1), pages 341-350, October.
    19. Sameh Charfeddine Karray & Jamel eddine Chichti, 2013. "Bank Size and Efficiency in Developing Countries: Intermediation Approach versus Value Added Approach and Impact of Non-Traditional Activities," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(5), pages 593-613, May.
    20. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    21. Patricija Bajec & Danijela Tuljak-Suban, 2019. "An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria," Sustainability, MDPI, vol. 11(8), pages 1-18, April.

    More about this item

    Keywords

    technical efficiency; scale efficiency; DEA;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:29884. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.