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Italy is among the most important countries in Europe for milk production. The new European policies encourage a transition towards sustainability and are leading European dairy farms to follow new trajectories to increase their economic efficiency, reduce their environmental impact, and ensure social sustainability. Few studies have attempted to classify dairy farms by analyzing the relationships between the structural profiles of farms and the social, environmental, and economic dimensions of sustainability. This work intends to pursue this aim through an exploratory analysis in the Italian production context. The cluster analysis technique made it possible to identify three types of dairy farms, which were characterized on the basis of indicators that represented the three dimensions of sustainability (environmental, social, and economic sustainability) and the emerging structural relationships based on the structural characteristics of the dairy farms. The classification made it possible to describe the state of the art of the Italian dairy sector in terms of sustainability and to understand how different types of farms can respond to the new European trajectories.
Margherita Masi; Yari Vecchio; Gregorio Pauselli; Jorgelina Di Pasquale; Felice Adinolfi. A Typological Classification for Assessing Farm Sustainability in the Italian Bovine Dairy Sector. Sustainability 2021, 13, 7097 .
AMA StyleMargherita Masi, Yari Vecchio, Gregorio Pauselli, Jorgelina Di Pasquale, Felice Adinolfi. A Typological Classification for Assessing Farm Sustainability in the Italian Bovine Dairy Sector. Sustainability. 2021; 13 (13):7097.
Chicago/Turabian StyleMargherita Masi; Yari Vecchio; Gregorio Pauselli; Jorgelina Di Pasquale; Felice Adinolfi. 2021. "A Typological Classification for Assessing Farm Sustainability in the Italian Bovine Dairy Sector." Sustainability 13, no. 13: 7097.
Opinions increasingly influence legislative processes. The case of animal welfare (AW) standards is a clear example of the role played by opinions in political decisions. The issue, to which European citizens have historically been sensitive, has been the subject of numerous consultations and investigations, aimed at considering citizens’ opinions regarding breeding conditions. However, these tools and in particular standard surveys, suffer from response biases such as the prejudices involved in the design of questions and the interpretation of the results. To mitigate these problems, we used the Q-methodology, which is an inductive but systematic methodology focused on patterns that explain the ideas of individuals. The purposive sample consisted of 36 veterinary students who were acquiring scientific knowledge about AW. The results, in addition to providing policymakers with food for thought for the further development of AW standards, contribute to testing the use of alternative methodologies to collect citizens’ views. This mapping of viewpoints helps to build a more effective form of AW policy making.
Yari Vecchio; Gregorio Pauselli; Felice Adinolfi. Exploring Attitudes toward Animal Welfare through the Lens of Subjectivity—An Application of Q-Methodology. Animals 2020, 10, 1364 .
AMA StyleYari Vecchio, Gregorio Pauselli, Felice Adinolfi. Exploring Attitudes toward Animal Welfare through the Lens of Subjectivity—An Application of Q-Methodology. Animals. 2020; 10 (8):1364.
Chicago/Turabian StyleYari Vecchio; Gregorio Pauselli; Felice Adinolfi. 2020. "Exploring Attitudes toward Animal Welfare through the Lens of Subjectivity—An Application of Q-Methodology." Animals 10, no. 8: 1364.