Multi-actors networks are increasingly used by farmers to link between them and to be interactively connected with other partners, such as advisory organizations, local governments, universities, and non-farm organizations. Given the importance assigned to the agricultural innovation by EU resorting to the networking between the research chain actors and the farmers, a strong focus on enhancing the creation of learning and innovation networks is expected.
The report synthesises the research conducted under the PRO AKIS project for the topic "Designing, implementing and maintaining agricultural/rural networks to enhance farmers’ ability to innovate in cooperation with other rural actors".
The aim of this research is to explore the different policy frameworks adopted by the Italian regions to support cooperation for innovation projects in RDPs in the period 2007-2013. These were analysed against the conceptual background outlined by the European Commission and the international literature on the interactive approach to innovation processes (EC, 2013). The study is supported by the use of a mixed-methods approach, based on desk and on field research, qualitative and quantitative methods
This paper is aimed at raising the discussion on frameworks and practices to analyse and support of innovation processes of operational groups in rural development policy. The analysis highlights an increasing interest of the current evaluation and research practices on interactive innovation processes, collaborative learning and capacity development both at individual, collective and systems levels. Particularly, transformative-oriented frameworks have been developed in view of supporting capacity development in innovation systems
This study wants to analyse the extent to which the different research and innovation (R&I) instruments designed under the European Innovation Partnership for Agricultural productivity and sustainability (EIP-AGRI) look for synergies and intensify effective linkages with each other to strengthen the respective dynamics. The study is based on a case study representing the Italian EIP-AGRI system. Data are collected through direct interviews, semistructured questionnaires, focus groups and workshops.