IDEAS home Printed from https://ideas.repec.org/p/fpr/ifprid/1768.html
   My bibliography  Save this paper

Contract farming, productivity and fertilizer usage: Empirical evidence from specialty crop production

Author

Listed:
  • Mishra, Ashok K.
  • Kumar, Anjani
  • Joshi, Pramod Kumar
  • D’Souza, Alwin
  • Tripathi, Gaurav

Abstract

This study investigates the impact of contract farming (CF) in baby corn production on yield, irrigation costs, fertilizer costs and usage of chemical fertilizer. We find that adoption of CF by baby corn smallholders, after controlling for characteristics of both control and treatment groups, leads to higher yields and lower spending on fertilizers and irrigation. Additionally, CF in baby corn farming leads to a reduction in the use of chemical fertilizers (Urea and DAP). Thus, CF intervention benefits the livelihood of smallholders, reduces environmental degradation and reduces stress on groundwater without compromising yield.

Suggested Citation

  • Mishra, Ashok K. & Kumar, Anjani & Joshi, Pramod Kumar & D’Souza, Alwin & Tripathi, Gaurav, 2018. "Contract farming, productivity and fertilizer usage: Empirical evidence from specialty crop production," IFPRI discussion papers 1768, International Food Policy Research Institute (IFPRI).
    • Handle: RePEc:fpr:ifprid:1768
    as

    Download full text from publisher

    File URL: https://www.ifpri.org/cdmref/p15738coll2/id/132927/filename/133138.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Yiming Zhang & Rui Yang & Kai Zhao & Xiangzhi Kong, 2023. "Fertilizer Application in Contract Farming: A Risk Analysis," Land, MDPI, vol. 12(8), pages 1-20, July.

    More about this item

    Keywords

    INDIA; SOUTH ASIA; ASIA; contract farming; fertilizer application; water use; maize; farm inputs; smallholders; crop yield; agricultural productivity; marginal mean weighting through stratification (MMWS); C21 Single Equation Models: Cross-Sectional Models; Q12 Micro Analysis of Farm Firms; Farm Households; and Farm Input Markets; Q50 Environmental Economics: General;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General

    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:fpr:ifprid:1768. 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/ifprius.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.