No abstract

Dehesa agroforestry systems occupy around 6 million ha in the Iberian Peninsula. Their economic and environmental sustainability depends on the maintenance of the extensive livestock farms which created this typical ecosystem. This work analyzes dehesa farms in the Extremadura region (SW Spain) using technical and economic indicators of 69 randomly selected holdings. Principal component analysis (PCA) allowed us to establish a valid model explaining 65.8% of the variance. The two principal components having most weight were Iberian pig production (explaining 20% of the variance of the model), and which ruminant species were raised on the farm (15% of the variance). A cluster analysis distinguished five types of farms: sheep farms at high and low stocking rates, beef cattle farms, wooded farms with mixed livestock, and farms with a high level of cropping activity. The most profitable farms were those with either high overall livestock density or a high level of Iberian pig production. While high stocking density has historically attracted high levels of subsidy, production of Iberian pigs was profitable because of the high value of the product. In the light of CAP reform, Iberian pig production seems the most readily sustainable type of farming for the dehesa system.

The study of consumers' preferences is of great interest in the beef sector, where the BSE crisis generated deep changes in the basic conditions of demand for meat and in the behaviour of consumers. Previous qualitative research showed that 'price', 'origin', 'production system' and 'labelling' were the main attributes affecting preferences for beef in Extremadura (SW Spain). The data were obtained by a survey carried out between February and April 2002 with a sample of 575 regular consumers of beef. Conjoint Analysis has been used to estimate the relative importance of those attributes and to determine the existence of consumer segments with similar preference profiles. Results show that the origin of the product is the most important attribute for the choice of beef, followed by quality labelling, production system and price. Three groups of consumers were identified through cluster analysis, according to their preferences for beef.

Market segmentation, as a technique to split a market up into segments in which consumers are as homogeneous as possible, is of great importance for companies, as it allows objective markets to be chosen for the application of differentiated marketing policies. The aim of the present work is the segmentation of the cheese market in Extremadura (SW Spain), using cluster analysis. The data are taken from a survey of cheese consumers in Extremadura; the items of the survey are related to their cheese consumption habits, and their attitudes and preferences with respect to this product. The analysis distinguished four homogeneous consumer groups with respect to several sociodemographic and consumption behaviour variables that are of great interest for subsequent market interventions.