IDEAS home Printed from https://ideas.repec.org/p/ags/eaa107/6463.html
   My bibliography  Save this paper

Gross output and livestock sales modelling in Spanish extensive farms using PLSR

Author

Listed:
  • Gaspar, P.
  • Mesias, F.J.
  • Escribano Sanchez, Miguel
  • Pulido, F.

Abstract

The aim of this paper is to model some production variables in extensive livestock farms located in the dehesa ecosystem. We intend to use not only purely economic variables in the construction of the model, but also structural variables in order to identify the characteristics of the farms that have the higher influence. Another objective is to be able to predict these variables at the farm level, using structural variables that are easy to measure. The data used in this work were obtained from a questionnaire survey to the holders/managers of a sample of 69 dehesa farms in Extremadura (SW Spain). The statistical methodology used for the construction of the model was Partial Least Square Regression (PLSR). It can be concluded that the variables relative to farm intensification, to labour and especially to Iberian pig breeding, are those that take part mainly in the model.

Suggested Citation

  • Gaspar, P. & Mesias, F.J. & Escribano Sanchez, Miguel & Pulido, F., 2008. "Gross output and livestock sales modelling in Spanish extensive farms using PLSR," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6463, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaa107:6463
    DOI: 10.22004/ag.econ.6463
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/6463/files/pp08ga20.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.6463?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:eaa107:6463. 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/eaaeeea.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.