IDEAS home Printed from https://ideas.repec.org/a/cbk/journl/v6y2017i1p111-125.html
   My bibliography  Save this article

An Analysis of Revenue Maximising Efficiency of Public Sector Banks in the Post-Reforms Period

Author

Listed:
  • Ombir Singh

    (Department of Economics, Kurukshetra University, Kurukshetra, Haryana, India)

  • Sanjeev Bansal

    (Department of Economics, Kurukshetra University, Kurukshetra, Haryana, India)

Abstract

The paper investigates and compares the performance of the Indian public sector banks (PSBs) based on revenue maximising efficiency in the deregulation period from 2001-02 to 2012-13. Several efficiency estimates viz., overall technical efficiency, pure technical efficiency and scale efficiency of individual banks are calculated using Data Envelopment Analysis (DEA). The empirical findings indicate the presence of managerial and scale inefficiencies in the operation of the most of the PSBs. Applying the Tobit regression analysis, the paper also assesses the impact of different environmental factors, like profitability, the level of non-performing assets, size etc. on the efficiency of PSBs. It is observed that banks with high profitability, low level of non-performing assets, and relatively larger size are more technically efficient.

Suggested Citation

  • Ombir Singh & Sanjeev Bansal, 2017. "An Analysis of Revenue Maximising Efficiency of Public Sector Banks in the Post-Reforms Period," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 6(1), pages 111-125.
    • Handle: RePEc:cbk:journl:v:6:y:2017:i:1:p:111-125
    as

    Download full text from publisher

    File URL: http://www.cbcg.me/repec/cbk/journl/vol6no1-6.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Ombir Singh, 2019. "State ownership and performance of firm: evidence from India," Public Sector Economics, Institute of Public Finance, vol. 43(2), pages 195-217.

    More about this item

    Keywords

    Public sector banks; Efficiency; DEA; Tobit model.;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:cbk:journl:v:6:y:2017:i:1:p:111-125. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/cbmgvme.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.