Gross output and livestock sales modelling in Spanish extensive farms using PLSR
AbstractThe 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.
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Bibliographic InfoPaper provided by European Association of Agricultural Economists in its series 107th Seminar, January 30-February 1, 2008, Sevilla, Spain with number 6463.
Date of creation: 2008
Date of revision:
dehesa; livestock farming systems; partial least square regression; gross output; Crop Production/Industries; Livestock Production/Industries; Research Methods/ Statistical Methods;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-11-25 (All new papers)
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