IDEAS home Printed from https://ideas.repec.org/a/taf/ragrxx/v61y2022i2p207-228.html
   My bibliography  Save this article

Adoption and impact of improved wheat varieties on productivity and welfare among smallholder farmers in the Arsi Highland of Ethiopia

Author

Listed:
  • Bedilu Demissie Zeleke
  • Adem Kedir Geleto
  • Sisay Asefa
  • Hussien H. Komicha

Abstract

This article evaluates the adoption and impact of improved wheat varieties on rural farm household welfare measured by consumption expenditure per adult equivalent and productivity per hectare in rural Ethiopia. The study utilises cross-sectional farm household-level data collected in 2017/2018 from a randomly selected sample of 323 farmers in Arsi Highland of Ethiopia. We estimate the adoption and causal impact of improved varieties by utilising endogenous switching regression complemented with a binary propensity score matching methodology. This helps us estimate the productivity and welfare effect of technological adoption by controlling for the role of selection bias problem stemming from both observed and unobserved heterogeneity. Our analysis reveals a consistent result across models indicating that adoption enhances wheat productivity per hectare by 0.63 tons/ha and household welfare by 31%. Even farm households that did not adopt would benefit significantly had they adopted. Education, wheat price, farm machineries, crop rotation, row planting, social capital (such as informal network, core trust, and institutional trust), training on varieties selection, and information on seed availability are found to be the main drivers behind the adoption of improved wheat varieties.

Suggested Citation

  • Bedilu Demissie Zeleke & Adem Kedir Geleto & Sisay Asefa & Hussien H. Komicha, 2022. "Adoption and impact of improved wheat varieties on productivity and welfare among smallholder farmers in the Arsi Highland of Ethiopia," Agrekon, Taylor & Francis Journals, vol. 61(2), pages 207-228, April.
  • Handle: RePEc:taf:ragrxx:v:61:y:2022:i:2:p:207-228
    DOI: 10.1080/03031853.2022.2044359
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03031853.2022.2044359
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03031853.2022.2044359?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.

    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:ragrxx:v:61:y:2022:i:2:p:207-228. 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/ragr20 .

    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.