In this paper is studied the case of Trentino, an Italian Alpine region where alternative food chains are quickly developing, by comparing the development of alternative markets in this context with other Italian peri-urban areas. The mountain environment makes it very difficult for farms to standardize their products according to the requirement of the large retailers. Through alternative food chains, the typicality of products and the savoir faire of the farmers – representing the two main factors of products’ added value – are endorsed and more easily communicated to the market.

There has been an increasing interest in science, technology and innovation policy studies in the topic of policy mixes. While earlier studies conceptualised policy mixes mainly in terms of combinations of instruments to support innovation, more recent literature extends the focus to how policy mixes can foster sustainability transitions.

The impact of the COVID-19 pandemic will vary for different groups of rural population, with the highest impact expected to be on farmers and other vulnerable groups, especially women and youth. Targeted support is feasible only by activating a network of actors or organizations within agricultural innovation systems (AIS) and promoting customized technologies and practices suitable for location specific contexts.

Social farming (SF) has emerged as a social innovation practice shaping heterogeneous approaches and results. This study discusses the complexity of SF policy and practices, and it is led by the main hypothesis that the relationship between agricultural and social dimensions might be very heterogeneous, not only in different national contexts but also within the same national and local level. SF policy and practices are investigated testing the hypothesis of three main different modalities of interaction according to how the social and the agricultural perspectives interact.

The paper analyses the determinants of farmers’ adoption of innovations and studies the effect of the source of information and the connection with agricultural research on the contribution of innovation to farm performance. The paper uses primary data collected ad hoc in the Province of Bologna (Emilia-Romagna, Italy) and analyses it through an econometric analysis. The results indicate that structural factors and farm specialisation still play a relevant role in innovation adoption.

According to the literature on regime tran-sition, niches are sources of innovation that may lead to the transformation of the dominant regime, if pro-cesses at other level of the system –the landscape and the mainstream regime -are supportive. A focus on actors involved in the transition process and the analysis of their specific role in knowledge networks can help assessing the robustness of a specific niche and its growth potential. Knowledge systems, and in particular the dynamics of local and expert knowledge, have in fact a key role in innovation mod-els.

According to the literature on regime transition, niches are sources of innovation that may lead to the transformation of the dominant regime, if processes at other level of the system – the landscape and the mainstream regime - are supportive. A focus on actors involved in the transition process and the analysis of their specific role in knowledge networks can help assessing the robustness of a specific niche and its growth potential. Knowledge systems, and in particular the dynamics of local and expert knowledge, have in fact a key role in innovation models.

The latest comprehensive research agenda in the Journal of Agricultural Education and Extension was published in 2012 (Faure, Desjeux, and Gasselin 2012), and since then there have been quite some developments in terms of biophysical, ecological, climatological, social, political and economic trends that impact farming and the transformation of agriculture and food systems at large as well as new potentially disruptive technologies.

The profound changes in European policy for farms advisory services (FAS) require a period of experimentation and results observation before the new CAP 2021-2027. This paper focuses on Measure 2 of Rural Development Programme (RDP) 2014-2020. The paper is focused on the description of case studies in three Italian regions: Campania, Emilia-Romagna and Veneto. Different Measure 2 – sub-measure 2.1 models are analyzed through a qualitative approach, using a conceptual framework adapted by Birner et al. (2009).

Since the Green Revolution, worldwide agriculture has been characterized by a typical top–down approach. The degree of autonomy, creativity, and responsibility of farmers has been limited by the continuous external inputs of chemicals, machinery, advice, subsidies and knowledge. The issue of sustainability has brought complexity and uncertainty to this mainly linear process of innovation, steering agriculture toward alternative models. Agroecology represents an innovative paradigm of agriculture in which external inputs are minimized, and the assets of the farm are greatly valued.