IDEAS home Printed from https://ideas.repec.org/p/ags/iat19e/312530.html
   My bibliography  Save this paper

Identifying the Determinants of Land Use under Beans in Santander, Colombia

Author

Listed:
  • Barnes, Andrew
  • Botero, Hernan
  • Rios, David
  • Perez, Lisset
  • Ramirez-Villegas, Julian

Abstract

We identified the socioeconomic factors that help determine the percentage of land use under common beans (Phaseoulus Vulgaris) utilising a dataset collected by CIAT in Santander, Colombia, composed of 566 common bean growers. As some of the regressors employed were highly correlated among themselves, we performed a latent class analysis for six groups of thematic variables: other crops grown, climatic change perceived, capital goods owned, farming practices known, training received, and biotic stressors controlled. Additionally, as the prices of beans resulted to be endogenous to the percentage of land use under beans, we run an IV regression to control for this endogeneity problem, using socioeconomic factors as instruments to control for farmers’ bargaining power to set prices. Finally, we run fractional regression models to identify the determinants of land use under beans. Four factors arose as important determinants of this decision within this farming community: the price of beans, the total area of the farm, the practice of intercropping, and climate change perception. Farmers with larger areas dedicated less land to beans, those who intercropped reduced the area under beans, small landowners were the only ones who specialized in the cultivation of beans, and farmers affected by droughts dedicated more land area to growing beans, indicating that they relied on bean production to stabilize their income in the presence of climatic shocks.

Suggested Citation

  • Barnes, Andrew & Botero, Hernan & Rios, David & Perez, Lisset & Ramirez-Villegas, Julian, 2019. "Identifying the Determinants of Land Use under Beans in Santander, Colombia," 2019: Trading for Good - Agricultural Trade in the Context of Climate Change Adaptation and Mitigation... Symposium, June 23-25, 2019, Seville, Spain 312530, International Agricultural Trade Research Consortium.
  • Handle: RePEc:ags:iat19e:312530
    DOI: 10.22004/ag.econ.312530
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/312530/files/Session%202%20-%20Botero.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.312530?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
    ---><---

    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:iat19e:312530. 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/iatrcea.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.