IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/108044.html
   My bibliography  Save this paper

Modelling cost function approach under panel data framework to estimate total factor productivity growth for the Indian manufacturing industries

Author

Listed:
  • Das, Narasingha
  • Bera, Pinki

Abstract

The current investigation is an endeavour to assess the total factor productivity growth (TFPG) and its components through cost-function approach for some selected organised manufacturing industries in India by utilizing the cost function approach in panel data framework throughout the year 1980-81 to 2016-17. We have found that very few studies have estimated the TFPG from cost function approach. In the recent year, no significant work has been done using panel data. In our study, we have framed a panel time-series approach to estimate the TFPG via cost-function. Our examination shows a declining trend in TFPG throughout the three decades and then the turn-around hypothesis occurs. Consequently, it might be presuming that, reforms measure adversely affects TFPG for the Indian manufacturing industries. Growth of inputs, output and Cost of all Selected Manufacturing Industries are certain throughout the decades suggested that the underutilization of existing capacity.

Suggested Citation

  • Das, Narasingha & Bera, Pinki, 2020. "Modelling cost function approach under panel data framework to estimate total factor productivity growth for the Indian manufacturing industries," MPRA Paper 108044, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:108044
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/108044/1/MPRA_paper_108044.pdf
    File Function: original version
    Download Restriction: no
    File URL: https://mpra.ub.uni-muenchen.de/109474/1/MPRA_paper_108044.pdf
    File Function: revised version
    Download Restriction: no
    File URL: https://mpra.ub.uni-muenchen.de/109474/8/MPRA_paper_109474.pdf
    File Function: revised version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    TFPG; Dual Cost function; Trans-log Cost function; Fixed Effect Modelling;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

    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:108044. 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: 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.