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Margherita Masi
Department of Veterinary Medical Science, University of Bologna—Alma Mater Studiorum, 40064 Ozzano dell’Emilia, Italy

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Journal article
Published: 24 June 2021 in Sustainability
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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.

ACS Style

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 Style

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 (13):7097.

Chicago/Turabian Style

Margherita 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.

Journal article
Published: 31 January 2020 in Land Use Policy
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This paper deals with precision farming tools (PFTs), a way of farming which relies on specialized equipment, software and information technologies services, whose importance is underlined in recent documents of the European Union. Precision farming is an integrated and sustainable farm management system making use of modern technologies to increase farm’s profitability, by reducing environmental impact. In this paper we explore the complex mechanisms that affect PFT’s adoption by Italian farmers. More precisely, we try to analyse the context-related factors affecting adoption of PFTs in the Italian farms. Little research has been carried out in Italy on this topic, therefore our paper tries to fill a gap in literature. In order to investigate the process of technology adoption related to precision agriculture, a questionnaire was submitted to a sample of Italian farms. The questionnaire has been structured in order to apply the AKAP (Awareness, Knowledge, Adoption, Product) sequence. Our analysis underlines that context-related factors are fundamental dimensions to be explored in order to specify uptake of PFTs. Therefore, the paper has relevant policy implications, within the context of a new participatory approach to agricultural innovation characterized by bottom-up processes boosted by farmers, which has informed the recent policies of agricultural innovation at the EU level.

ACS Style

Yari Vecchio; Marcello De Rosa; Felice Adinolfi; Luca Bartoli; Margherita Masi. Adoption of precision farming tools: A context-related analysis. Land Use Policy 2020, 94, 104481 .

AMA Style

Yari Vecchio, Marcello De Rosa, Felice Adinolfi, Luca Bartoli, Margherita Masi. Adoption of precision farming tools: A context-related analysis. Land Use Policy. 2020; 94 ():104481.

Chicago/Turabian Style

Yari Vecchio; Marcello De Rosa; Felice Adinolfi; Luca Bartoli; Margherita Masi. 2020. "Adoption of precision farming tools: A context-related analysis." Land Use Policy 94, no. : 104481.