Este trabajo se centra en el análisis de los impactos del sistema regional de innovación en el País Vasco, y especialmente en su capacidad para impulsar la transformación estruc-tural de la economía vasca y potenciar su competitividad en el contexto de la creciente globalización y ampliación de la UE.
The research programme URBAL (Urban-driven Innovations for Sustainable Food Systems) (2018–2020), funded by Agropolis Fondation (France), Fondation Daniel & Nina Carasso (France/Spain), and Fundazione Cariplo (Italy), and coordinated by CIRAD (France) and the Laurier Center for Sustainable Food Systems at Wilfrid Laurier University (Canada), seeks to build and test a participatory methodology to identify and map the impact pathways of urban-driven innovations on all the dimensions of food systems sustainability.
Discussions on food security in the Global North have raised questions about the capacity of peri-urban organic agriculture to provide sufficient healthy food for the urban market. Dealing with food security requires more attention to how to protect peri-urban organic farming systems from urban pressures while strengthening the sustainability of local food systems.
The use of digital technologies has been recognized as one of the great challenges for businesses of the 21st century. This digitalization is characterized by the intensive use of information technologies in the different stages of the value chain of a sector. In this context, smart agriculture is transforming the agricultural sector in terms of economic, social, and environmental sustainability.
Este trabajo describe la evolución desde los sistemas de transferencia de conocimientos agrarios más tradicionales, con transmisión lineal de la investigación a los usuarios, hasta sistemas que propicien en mayor medida la innovación, con la intervención de multiplicidad de actores entre los que se incluyen investigadores, agricultores, asesores, educadores, políticos, empresarios, etc.
Familiar mixed dairy sheep farm is the most widespread system in the Mediterranean basin, in Latin America and in developing countries (85%). There is a strong lack of technological adoption in packages of feeding and land use in small-scale farms. To increase competitiveness, it would be of great interest to deepen the knowledge of how innovation was selected, adopted, and spread. The objective of this research was to select strategic feeding and land use technologies in familiar mixed dairy sheep systems and later assess dairy sheep farms in Spain.
This study, commissioned by the European Parliament’s Policy Department for Citizens' Rights and Constitutional Affairs at the request of the Committee on Women’s Rights and Gender Equality, explores the working conditions of migrant women in agriculture in the EU, focusing on some case studies in Italy and Spain. In particular, it aims to examine the factors that render women vulnerable to exploitation, paying attention to gendered dynamics and power relations.
The potential beneficial and harmful social impacts generated by the introduction of novel technologies, in general, and those concerning nutrient recovery and the improvement of nutrient efficiency in agriculture, in particular, have received little attention, as shown in the literature. This study investigated the current social impacts of agricultural practices in Belgium, Germany and Spain, and the potential social impacts of novel technologies introduced in agriculture to reduce nutrient losses.
The increased recognition of the multiplicity of roles played by women in, and their crucial contributions to, the fisheries sector exists in stark contrast with the low presence of women in fisherfolk organizations around the globe, and the lack of access to decision-making positions in many formal fisheries-related organizations. This paper summarizes analyses of a global literature review on women in fisherfolk organizations.
The digital transformation in agriculture introduces new challenges in terms of data, knowledge and technology adoption due to critical interoperability issues, and also challenges regarding the identification of the most suitable data sources to be exploited and the information models that must be used.