Abstract :
The aim of this work was to study the economic results of Ripollesa breed sheep farms in Spain, and to establish a typology
which would clarify the characteristics of the different types of existing farms. Data was collected using a survey of 52 farm
owners, from which the mean economic results of the farms were calculated. To establish a typology, the data were treated
using amultivariate statistical analysis (principal component analysis). Subsequently, a hierarchy analysis (cluster analysis) of
the coordinates of the farms with the first five factors was applied. The results indicate that, in general and under our working
conditions, the most diversified farms obtain higher income and higher net added value at factor cost (NAVfc). At the same
time, public subsidies make up an average of 27% of total income and 52% of NAVfc. It was possible to typify four groups
of farms.
© 2003 Published by Elsevier Science B.V.
Keywords :
Sheep , Principal component analysis , farm management , Spain , Ripollesa breed