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The general aim of the present study was to characterise and typify a group of meat sheep farms that form part of the record data network of an Aragonese co-operative using different variables: sociological, structural, technical, income and costs and economic results. The sample was formed by 56 Aragonese farms. In order to avoid inter-annual variations, data used were the mean data of a five-year period running from 2000 to 2004. A factor analysis was used to reveal the interrelations between different variables that characterise farms. The results of this analysis served as the basis for a subsequent segmentation by applying a cluster analysis. After the establishment of groups, a variance analysis was performed to identify statistical differences in a set of additional variables that were considered necessary to gain practical significance in the typology. Four groups of farms were differentiated, mainly based on structural, technical and economic variables. According to the variables that characterise the defined typologies, the different possibilities of evolution of each of them were analysed to adapt to changing contexts in terms of costs, income, labour and agricultural policy measures.Additional key words: economic results, multivariate analysis, productivity.

The aim of the present study was to identify the factors that affect and motivate the purchase of quality-labelled beef in Spain. For this purpose a total of 364 surveys were carried out on buyers of beef in three Spanish cities. The sample was divided into three groups of buyers according to the frequency with which they buy beef with a quality label. A logistic regression analysis was used to estimate the differences between groups. The results showed the importance of the production region as a quality aspect. In general terms, variables such as income level and lifestyles would seem to be the variables that enable us to discriminate between quality-labelled beef buyers and non-buyers, whereas beef purchasing habits, a greater appreciation of production systems and attitudes towards quality-labelled beef, are the variables that may explain the differences that exist between regular and occasional quality-labelled beef buyers.

The study aim was to identify consumer segmentation based on nonhuman animal welfare (AW) attitudes and their relationship with demographic features and willingness to pay (WTP) for welfare-friendly products (WFP) in Mexico. Personal interviews were conducted with 843 Mexican consumers who stated they purchased most of the animal products in their home. Respondents were selected using a quota sampling method with age, gender, education, and origin as quota control variables. The multivariate analysis suggested there were three clusters or consumer profiles labeled "skeptical," "concerned," and "ethical," which helped explain the association between AW attitudes, some demographic variables, and WTP for WFP. This study is one of the first to address consumer profiling in Latin America, and the findings could have implications for the commercialization of WFP. Hence, customers should receive information to consider welfare innovations when deciding to purchase animal products. The growth of the WFP food market establishes an element of a far more multifaceted phenomenon of sustainable consumption and support of a new paradigm called responsible marketing in emerging markets such as Mexico.