IDEAS home Printed from https://ideas.repec.org/a/taf/ragrxx/v60y2021i2p192-208.html
   My bibliography  Save this article

Welfare effects of small-scale farmers' participation in apple and mango value chains in Ethiopia

Author

Listed:
  • Mengistie Mossie
  • Alemseged Gerezgiher
  • Zemen Ayalew
  • Zerihun Nigussie

Abstract

This study examines the effects of participation in the fruit value chain on small-scale farmers' economic welfare in Ethiopia's Upper-Blue Nile Basin, focusing on apple and mango crops. This household economic welfare is measured by the consumption expenditure approach. Primary data were collected from a random sample of 384 households, 211 of which are fruit value chain participants and the rest are non-participants. The endogenous switching regression model was used to control for selection bias and unobserved heterogeneity. The study finds that the more apple and mango farmers join the value chain, the higher their consumption expenditure becomes. On average, the apple and mango value chain participation increased household consumption expenditure by about 17% and 18.5%, respectively. Overall, the results indicate a positive economic welfare effect of small-scale farmer participation. Hence, supporting small-scale farmers is imperative and a reasonable policy approach to improve their economic welfare in rural Ethiopia.

Suggested Citation

  • Mengistie Mossie & Alemseged Gerezgiher & Zemen Ayalew & Zerihun Nigussie, 2021. "Welfare effects of small-scale farmers' participation in apple and mango value chains in Ethiopia," Agrekon, Taylor & Francis Journals, vol. 60(2), pages 192-208, April.
  • Handle: RePEc:taf:ragrxx:v:60:y:2021:i:2:p:192-208
    DOI: 10.1080/03031853.2021.1926298
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03031853.2021.1926298
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03031853.2021.1926298?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. 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:ragrxx:v:60:y:2021:i:2:p:192-208. 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.