IDEAS home Printed from https://ideas.repec.org/a/jge/journl/644.html
   My bibliography  Save this article

Total Factor Productivity Growth in Indian Agriculture

Author

Listed:
  • Amarnath Tripathi

Abstract

In this study, time series data has been related to broad agricultural outputs which included farming, livestock, forestry, and fisheries and 3 conventional inputs: labour, land, and capital, to construct an index of total factor productivity (TFP) between 1969-70 to 2005-06. A TFP index is simply the ratio of an output index to an input index. Therefore, growth in TFP is the residual share of output growth after accounting for changes in land, labor, and other conventional agricultural inputs. Changes in TFP can be interpreted as a measure of the collective contribution of non-conventional inputs in agriculture, such as improvements in input quality, market access, economies of scale, and technology. What emerges from this exercise is a picture that raises concern about future growth in Indian agriculture, and the welfare of the people who depend on agriculture for their livelihood. Agricultural productivity in India appeared to stagnate in the late 1990s after enjoying two decades of rapid growth.

Suggested Citation

  • Amarnath Tripathi, 2010. "Total Factor Productivity Growth in Indian Agriculture," Journal of Global Economy, Research Centre for Social Sciences,Mumbai, India, vol. 6(4), pages 286-298, August.
    • Handle: RePEc:jge:journl:644
    as

    Download full text from publisher

    File URL: http://www.rcssindia.org/jge
    Download Restriction: Only to subscribers
    File URL: http://www.rcssindia.org/jge
    Download Restriction: Not freely downloadable
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Jianxu Liu & Mengjiao Wang & Li Yang & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Agricultural Productivity Growth and Its Determinants in South and Southeast Asian Countries," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
    2. Gagandeep Singh & Geetika Madaan, 2020. "An Empirical Study of the Economic Status of Punjab Concerning India," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 10(2), pages 107-117, February.

    More about this item

    Keywords

    Indian Economy; Development; Agriculture; Total Factor Productivity;
    All these keywords.

    JEL classification:

    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture

    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:jge:journl:644. 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: Dr J K Sachdeva (email available below). General contact details of provider: http://www.rcssindia.org .

    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.