IDEAS home Printed from https://ideas.repec.org/a/taf/jdevst/v54y2018i10p1838-1857.html
   My bibliography  Save this article

Adoption of System of Rice Intensification under Information Constraints: An Analysis for India

Author

Listed:
  • Poornima Varma

Abstract

This study examines the role of information constraints in the adoption of the System of Rice Intensification (SRI) in India by explicitly incorporating information in the adoption model. The results showed that effective information along with other factors such as membership in a farmer organisation, availability of labourers, irrigation facility and so forth were important in determining the SRI adoption. The results also revealed that the Government of India’s National Food Security Mission programme did not have significant impact in promoting greater dissemination and adoption of SRI.

Suggested Citation

  • Poornima Varma, 2018. "Adoption of System of Rice Intensification under Information Constraints: An Analysis for India," Journal of Development Studies, Taylor & Francis Journals, vol. 54(10), pages 1838-1857, October.
    • Handle: RePEc:taf:jdevst:v:54:y:2018:i:10:p:1838-1857
    DOI: 10.1080/00220388.2017.1336541
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00220388.2017.1336541
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00220388.2017.1336541?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Tavseef Mairaj Shah & Durga Prasad Babu Nasika & Ralf Otterpohl, 2021. "Plant and Weed Identifier Robot as an Agroecological Tool Using Artificial Neural Networks for Image Identification," Agriculture, MDPI, vol. 11(3), pages 1-31, March.
    2. P. K. Viswanathan & K. Kavya & Chandra Sekhar Bahinipati, 2020. "Global Patterns of Climate-resilient Agriculture: A Review of Studies and Imperatives for Empirical Research in India," Review of Development and Change, , vol. 25(2), pages 169-192, December.
    3. Muratbek Baglan & Gershom Endelani Mwalupaso & Xue Zhou & Xianhui Geng, 2020. "Towards Cleaner Production: Certified Seed Adoption and Its Effect on Technical Efficiency," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    4. Martey, Edward & Etwire, Prince M. & Adombilla, Ramson & Abebrese, Samuel O., 2023. "Information constraint and farmers’ willingness to pay for an irrigation scheduling tool," Agricultural Water Management, Elsevier, vol. 276(C).

    More about this item

    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:taf:jdevst:v:54:y:2018:i:10:p:1838-1857. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/FJDS20 .

    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.