In Europe, research and extension services (RES) play a relevant role in the agricultural sector. A Structural Equation Model has evaluated the impact of RES on perceived farm performance in a sample of 247 holdings. The authors interest is not only on the perceived benefits for small-scale holdings which request technical advice but also on the intermediate role of Strategic Orientations (SO), including market orientation and innovation attitude, that could improve the effectiveness of RES.
Companies’ environmental responsibility has significantly increased in the last decade. However, the question about the benefits that this responsible decision has on the company’s performance in the market remains. In this scenario, the main goal of this study is to analyze the conditions that improve the performance of companies in the agri-food industry, paying specific attention to technological eco-innovation and different types of cooperation (in the use and in the development of eco-innovations). The initial sample contains data of agri-food companies operating in Spain.
Understanding eco-innovation is an essential endeavor to achieve global sustainable development. In this sense, further research on implementation is needed to expand knowledge beyond current boundaries. The aim of this paper is to contribute to this debate by conducting an original multidimensional analysis using Spanish agri-food sector data. The empirical methodology applies a combination of descriptive statistics, cluster analysis and the chi-squared test.
Desde su aparición en la década de 1990, el enfoque de los sistemas regionales de innovación (SRI) ha atraído una considerable atención por parte de los geógrafos económicos, académicos y responsables de políticas de innovación. El enfoque SRI ocupa un lugar destacado en el discurso científico sobre la desigual geografía de la innovación y los factores que explican la genera-ción de conocimiento y la capacidad de innovar de las regiones. El objetivo de este trabajo es reflexionar acerca de la aparición del enfoque SIR, su debate actual, así como los retos de futuro.
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.
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 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.