IDEAS home Printed from https://ideas.repec.org/a/eco/journ1/2021-01-17.html
   My bibliography  Save this article

Bootstrap DEA Efficiencies of the GCC Islamic Banks: Sources and Comparison During 2014-2016

Author

Listed:
  • Abdus Samad

    (Department of Finance and Economics, Utah Valley University 800 W University PKWY Orem, UT 84058, USA)

Abstract

This paper, first, obtained three categories of efficiencies, overall bias-corrected technical efficiency (OTEBC), bias-corrected pure technical efficiency (PTEBC) and bias-corrected scale efficiency (SE) of the Islamic banks of the Gulf Cooperating Countries (GCC) during 2014-2016 using the Simar and Wilson (1998) Bootstrap data envelopment analysis (DEA). Second, decomposing the overall bias-corrected technical efficiency (OTEBC) the paper found the bias-corrected pure technical efficiency (PTEBC) and the bias-corrected scale efficiency (SE) were 91% and 59.8% respectively and thus PTEBC dominated the OTBBC (82.4%) and the SE (59.8%) of the GCC Islamic banks. Third, the paper found the sources of the inefficiency of the Islamic banks of the GCC was the DRS. Except the Islamic banks of Qatar, banks of the GCC countries were inefficient either because they operated under the IRS or DRS. DRS was the major source of inefficiency. Qatar Islamic banks demonstrated the highest level of efficiency in all three efficiency among GCC. The paper provides suggestions for future study.

Suggested Citation

  • Abdus Samad, 2021. "Bootstrap DEA Efficiencies of the GCC Islamic Banks: Sources and Comparison During 2014-2016," International Journal of Economics and Financial Issues, Econjournals, vol. 11(1), pages 157-166.
  • Handle: RePEc:eco:journ1:2021-01-17
    as

    Download full text from publisher

    File URL: https://econjournals.com/index.php/ijefi/article/download/10127/pdf
    Download Restriction: no

    File URL: https://econjournals.com/index.php/ijefi/article/view/10127/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    2. Hassan, M. Kabir, 2006. "The X-Efficiency In Islamic Banks," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 13, pages 50-78.
    3. Abdus Samad, 2009. "Measurement Of Inefficiencies In Bangladesh Banking Industry Using Stochastic Frontier Production Function," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 3(1), pages 41-48.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Mustapha Ben Hassine & Ratiba Limani, 2014. "The Impact of Bank Characteristics on the Efficiency: Evidence from MENA Islamic Banks," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 4(3), pages 1-13.
    6. Raéf Bahrini, 2017. "Efficiency Analysis of Islamic Banks in the Middle East and North Africa Region: A Bootstrap DEA Approach," IJFS, MDPI, vol. 5(1), pages 1-13, February.
    7. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    8. Rosman, Romzie & Wahab, Norazlina Abd & Zainol, Zairy, 2014. "Efficiency of Islamic banks during the financial crisis: An analysis of Middle Eastern and Asian countries," Pacific-Basin Finance Journal, Elsevier, vol. 28(C), pages 76-90.
    9. Sufian, Fadzlan & Abdul Majid, Muhamed Zulkhibri, 2007. "Bank Ownership, Characteristics and Performance: A Comparative Analysis of Domestic and Foreign Islamic Banks in Malaysia," MPRA Paper 12131, University Library of Munich, Germany, revised 01 Jun 2007.
    10. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, September.
    11. 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.
    12. Yudistira, Donsyah, 2004. "Efficiency In Islamic Banking: An Empirical Analysis Of Eighteen Banks," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 12, pages 2-19.
    13. George J. Benston, 1965. "Branch Banking And Economies Of Scale," Journal of Finance, American Finance Association, vol. 20(2), pages 312-331, May.
    14. 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.
    15. Sealey, Calvin W, Jr & Lindley, James T, 1977. "Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions," Journal of Finance, American Finance Association, vol. 32(4), pages 1251-1266, September.
    Full references (including those not matched with items on IDEAS)

    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. Abdus Samad & Mohammad Ashraful Ferdous Chowdhury, 2019. "Comparative Bootstrap DEA Technical Efficiencies and Determinant Factors: Evidence From the Islamic Banks of Bahrain and United Arab Emirates," Research in World Economy, Research in World Economy, Sciedu Press, vol. 10(3), pages 291-308, December.
    2. Raéf Bahrini, 2017. "Efficiency Analysis of Islamic Banks in the Middle East and North Africa Region: A Bootstrap DEA Approach," IJFS, MDPI, vol. 5(1), pages 1-13, February.
    3. Abdus Samad, 2021. "Analysis of Comparative Efficiencies of Islamic Banks Across Nine South and Southeast Asian Countries," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 10(1), pages 71-85, January.
    4. Rosman, Romzie & Wahab, Norazlina Abd & Zainol, Zairy, 2014. "Efficiency of Islamic banks during the financial crisis: An analysis of Middle Eastern and Asian countries," Pacific-Basin Finance Journal, Elsevier, vol. 28(C), pages 76-90.
    5. Fadzlan Sufian & Fakarudin Kamarudin, 2014. "The impact of ownership structure on bank productivity and efficiency: Evidence from semi-parametric Malmquist Productivity Index," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-27, December.
    6. Fadzlan Sufian & Muzafar Shah Habibullah, 2010. "Bank-specific, Industry-specific and Macroeconomic Determinants of Bank Efficiency," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 4(4), pages 427-461, November.
    7. Thanh Ngo & Kan Wai Hong Tsui, 2022. "Estimating the confidence intervals for DEA efficiency scores of Asia-Pacific airlines," Operational Research, Springer, vol. 22(4), pages 3411-3434, September.
    8. Olga Goncalves & Elisabeth Robinot & Hélène Michel, 2015. "Does It Pay to Be Green? The Case of French Ski Resorts," Grenoble Ecole de Management (Post-Print) hal-01591790, HAL.
    9. Olga Goncalves & Elisabeth Robinot & Hélène Michel, 2015. "Does It Pay to Be Green? The Case of French Ski Resorts," Post-Print hal-01591790, HAL.
    10. Carmelo Algeri & Luc Anselin & Antonio Fabio Forgione & Carlo Migliardo, 2022. "Spatial dependence in the technical efficiency of local banks," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 685-716, June.
    11. Fadzlan Sufian, 2016. "Determinants of Efficiency in the Malaysian Banking Sector: Evidence from Semi-parametric Data Envelopment Analysis Method," Studies in Microeconomics, , vol. 4(2), pages 151-172, December.
    12. Muhammad Afaq Haider & Qasim Raza & Soniya Jameel & Khansa Pervaiz, 2019. "A Comparative Study of Operational Efficiency of Pakistani and Malaysian Islamic Banks: Data Envelopment Analysis Approach," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 9(5), pages 559-580, May.
    13. Fadzlan Sufian & Fakarudin Kamarudin, 2017. "Forced Mergers on Bank Efficiency and Productivity: Evidence from Semi-parametric Malmquist Productivity Index," Global Business Review, International Management Institute, vol. 18(1), pages 19-44, February.
    14. Halkos, George & Tzeremes, Nickolaos, 2010. "Measuring the effect of virtual mergers on banks’ efficiency levels:A non parametric analysis," MPRA Paper 23696, University Library of Munich, Germany.
    15. Quaranta, Anna Grazia & Raffoni, Anna & Visani, Franco, 2018. "A multidimensional approach to measuring bank branch efficiency," European Journal of Operational Research, Elsevier, vol. 266(2), pages 746-760.
    16. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, February.
    17. George Halkos & Roman Matousek & Nickolaos Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    18. H Fukuyama & W L Weber, 2009. "Estimating indirect allocative inefficiency and productivity change," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1594-1608, November.
    19. Pontus Mattsson & Jonas Månsson & Christian Andersson & Fredrik Bonander, 2018. "A bootstrapped Malmquist index applied to Swedish district courts," European Journal of Law and Economics, Springer, vol. 46(1), pages 109-139, August.
    20. Nguyen, Bao Hoang & Simar, Léopold & Zelenyuk, Valentin, 2022. "Data sharpening for improving central limit theorem approximations for data envelopment analysis–type efficiency estimators," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1469-1480.

    More about this item

    Keywords

    GCC Islamic Banks; Technical efficiency; Bootstrap DEA; Bias-corrected Technical Efficiency;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

    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:eco:journ1:2021-01-17. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    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.