IDEAS home Printed from https://ideas.repec.org/a/taf/oaefxx/v10y2022i1p2008587.html
   My bibliography  Save this article

Assessment of impact of adoption of improved cassava varieties on yields in Ghana: An endogenous switching approach

Author

Listed:
  • Patricia Pinamang Acheampong
  • Monica Addison
  • Camillus Abawiera Wongnaa

Abstract

The paper assesses the potential impact of the adoption of improved cassava varieties on yields of smallholder farmers. Agricultural intensification is associated with increasing yields per hectare through the use of improved varieties. Studies have established the relationship between adoption and yield, yet this relationship is understudied in the cross-national literature. Using cross-sectional data collected from a randomly selected sample of 1,176 farmers dispersed across Ghana and employing an endogenous switching regression model, the causal impact of improved variety adoption was estimated. Our results revealed that adoption decisions were conditioned by age, extension access, extension visits, awareness and farm size. Also, adoption had a significant positive impact on cassava yields. Adopters had 18 t/ha increases in yields and non-adopters should they have adopted had increases of 10 t/ha. Strategies to resource research extension linkage system to promote and create awareness about the existing improved cassava varieties for increased adoption are recommended.

Suggested Citation

  • Patricia Pinamang Acheampong & Monica Addison & Camillus Abawiera Wongnaa, 2022. "Assessment of impact of adoption of improved cassava varieties on yields in Ghana: An endogenous switching approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2008587-200, December.
  • Handle: RePEc:taf:oaefxx:v:10:y:2022:i:1:p:2008587
    DOI: 10.1080/23322039.2021.2008587
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23322039.2021.2008587
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/23322039.2021.2008587?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. Martin Schultze & Stephen Kankam & Safiétou Sanfo & Christine Fürst, 2024. "Agricultural Yield Responses to Climate Variabilities in West Africa: A Food Supply and Demand Analysis," Land, MDPI, vol. 13(3), pages 1-22, March.
    2. Yuxuan Xu & Jie Lyu & Ying Xue & Hongbin Liu, 2022. "Does the Agricultural Productive Service Embedded Affect Farmers’ Family Economic Welfare Enhancement? An Empirical Analysis in Black Soil Region in China," Agriculture, MDPI, vol. 12(11), pages 1-22, November.

    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:oaefxx:v:10:y:2022:i:1:p:2008587. 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/OAEF20 .

    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.