IDEAS home Printed from
   My bibliography  Save this paper

Efficiency Convergence Properties of Indonesian Banks 1992-2007


  • Zhang, Tiantian

    () (Cardiff Business School)

  • Matthews, Kent

    () (Cardiff Business School)


This paper examines the convergence properties of cost efficiency for Indonesian banks for the period 1992-2007. It employs the Simar and Wilson's (2007) two stage semi-parametric double bootstrap DEA procedure to estimate cost efficiency. Using panel data estimation, the paper examines ß-convergence and &sigma,-convergence, to test the speed at which Indonesian banks are converging, towards the best practice and country average. We find evidence that in general the post-crisis structural reform process improved the average level of efficiency and improved the distribution of efficiency across banks significantly. The Asian financial crisis and the structural reform had the effect of slowing the adjustment speed of bank efficiency.

Suggested Citation

  • Zhang, Tiantian & Matthews, Kent, 2011. "Efficiency Convergence Properties of Indonesian Banks 1992-2007," Cardiff Economics Working Papers E2011/12, Cardiff University, Cardiff Business School, Economics Section.
  • Handle: RePEc:cdf:wpaper:2011/12

    Download full text from publisher

    File URL:
    Download Restriction: no

    Other versions of this item:


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

    Cited by:

    1. Matthews, Kent & Xiao, Zhiguo, 2020. "Rational cost inefficiency and convergence in Chinese banks," Economic Modelling, Elsevier, vol. 91(C), pages 696-704.
    2. Hasanul Banna & Syed Karim Bux Shah & Abu Hanifa Md Noman & Rubi Ahmad & Muhammad Mehedi Masud, 2019. "Determinants of Sino-ASEAN Banking Efficiency: How Do Countries Differ?," Economies, MDPI, Open Access Journal, vol. 7(1), pages 1-23, February.
    3. Izzeldin, Marwan & Johnes, Jill & Ongena, Steven & Pappas, Vasileios & Tsionas, Mike, 2021. "Efficiency convergence in Islamic and conventional banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 70(C).
    4. Mohammad Shahid Zaman & Anup Kumar Bhandari, 2020. "Financial deregulation, competition and cost efficiency of Indian commercial banks: is there any convergence?," Indian Economic Review, Springer, vol. 55(2), pages 283-312, December.
    5. Thota, Nagaraju & Subrahmanyam, A.C.V., 2020. "Bank total factor productivity convergence: Evidence from india," Finance Research Letters, Elsevier, vol. 37(C).
    6. Zhang, Tiantian & Matthews, Kent, 2019. "Assessing the degree of financial integration in ASEAN—A perspective of banking competitiveness," Research in International Business and Finance, Elsevier, vol. 47(C), pages 487-500.
    7. Mihăiță-Cosmin M. POPOVICI, 2013. "A Survey On Bank Efficiency Research With Data Envelopment Analysis And Stochastic Frontier Analysis," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 1, pages 134-142, June.
    8. repec:cmj:journl:y:2013:i:27:popovicimc is not listed on IDEAS
    9. 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.
    10. Calogero Guccio & Marco Ferdinando Martorana & Isidoro Mazza, 2016. "Efficiency assessment and convergence in teaching and research in Italian public universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1063-1094, June.

    More about this item


    Banks; Efficiency; Indonesia; Convergence;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:cdf:wpaper:2011/12. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Yongdeng Xu). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.