IDEAS home Printed from https://ideas.repec.org/p/mad/wpaper/2025-274.html
   My bibliography  Save this paper

Efficiency Decomposition of Public Expenditure – Evidence from Indian States

Author

Listed:
  • Blessy Augustine

    (Assistant Professor, Madras School of Economics, Chennai, Tamil Nadu, India, 600025)

  • Raja Sethu Durai S

    (Professor, BITS-Pilani, Dubai)

Abstract

Assessing the efficiency of public expenditure and identifying the origins of inefficiency is imperative for any government to design effective policy measures. This study aims to decompose the efficiency of health and education expenditure of major Indian states as a two-stage process in which the first stage is infrastructure development and the second is service delivery. Using a two-stage relational Data Envelopment Analysis of Kao and Hwang (2008) for the year 2019-20, the empirical findings from this study suggest a significant variation in efficiency across the states in these two stages. Further, it also identifies that the governance of a state matters only in the infrastructure stage and not in the service delivery stage. The results from this study will help the states understand the stage where they have deficiencies and design their policy for improvement.

Suggested Citation

  • Blessy Augustine & Raja Sethu Durai S, 2025. "Efficiency Decomposition of Public Expenditure – Evidence from Indian States," Working Papers 2025-274, Madras School of Economics,Chennai,India.
  • Handle: RePEc:mad:wpaper:2025-274
    as

    Download full text from publisher

    File URL: https://www.mse.ac.in/wp-content/uploads/2025/01/workpaper-274.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Public expenditure efficiency; Data Envelopment Analysis; two-stage relational DEA; Governance;
    All these keywords.

    JEL classification:

    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • I1 - Health, Education, and Welfare - - Health
    • I2 - Health, Education, and Welfare - - Education

    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:mad:wpaper:2025-274. 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: Geetha G (email available below). General contact details of provider: https://edirc.repec.org/data/mseacin.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.