IDEAS home Printed from https://ideas.repec.org/p/ags/aaae23/365991.html
   My bibliography  Save this paper

The speed of postharvest technology adoption in Tanzania: the role of social learning and agricultural extension services

Author

Listed:
  • Manda, Julius
  • Feleke, Shiferaw
  • Mutungi, Christopher
  • Tufa, Adane H.
  • Mateete, Bekunda
  • Alene, Arega D.
  • Abdoulaye, Tahirou

Abstract

This study examines the impacts of social learning and extension services on the time it takes to adopt an improved postharvest technology called Purdue Improved Crop Storage (PICS) bag in Tanzania. We utilized the doubly robust multivalued inverse probability weighted regression (MIPWRA) model in a survival treatment effects framework to estimate the impact. We also applied the Laplace regression model to evaluate the heterogeneous effects of the two information sources. Overall, results from the MIPWRA indicate that social learning and extension services reduce the time to adopt PICS bags by 51% and 49%, respectively. The results further show that the speed at which farmers adopted the technology was faster when using the two information sources jointly (61%) than individually. The results from the Laplace regression model also show that the impacts of social learning and extension services vary significantly across the time to adoption distribution. The marginal impacts of the two information sources are more meaningful for the households in the upper quantiles of the distribution, compared to the lower quantiles representing the early adopters. Designing policies that account for the complementarity of the two sources of information is essential to increasing the adoption of PICS bags in Tanzania.

Suggested Citation

  • Manda, Julius & Feleke, Shiferaw & Mutungi, Christopher & Tufa, Adane H. & Mateete, Bekunda & Alene, Arega D. & Abdoulaye, Tahirou, 2023. "The speed of postharvest technology adoption in Tanzania: the role of social learning and agricultural extension services," 2023 Seventh AAAE/60th AEASA Conference, September 18-21, 2023, Durban, South Africa 365991, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae23:365991
    DOI: 10.22004/ag.econ.365991
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/365991/files/11.%20Postharvest%20technology%20in%20Zambia.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.365991?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
    ---><---

    More about this item

    Keywords

    ;

    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:ags:aaae23:365991. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaaeaea.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.