Social innovation (SI) impacts are long-term changes that affect different dimensions of territorial capital (i.e., economy, society, environment, governance) for the territory in which SI occurs. Yet, systematic empirical evidence and theoretically sound assessments of the impacts of SI are scarce. This paper aims to fill the gap and assess the different aspects of SI’s impacts in European and Mediterranean areas that are characterized by marginalization processes. To assess the impacts of SI in marginalized areas, we use the evaluation framework developed within the Social Innovation in Marginalized Rural Areas (SIMRA) Horizon 2020 project and apply it to nine SI initiatives related to the fields of agriculture, fisheries, forestry, and rural development. Our findings show that SI produces cross-sectoral (societal, economic, environmental, and governmental) and multi-level impacts (on individuals, community, and society), which have improved the societal well-being, and contributed to the reduction of certain forms of marginality, mainly inside the territory in which SI occurred.

Innovation actions within European Horizon 2020 (H2020) projects aim at testing research results in practice. When supporting social innovations in rural areas, such testing requires the alignment of several rural actors in order to entail behavioral changes beyond the individual level. Recently, social innovation has been recognized as an important tool for rural areas, developing new solutions to respond to wicked problems for improving local living conditions at the grassroots level. In this study, we analyzed the use of an operational framework to support the early governance of social innovation actions. This framework was applied to co-construct seven innovation actions across Europe and the Mediterranean basin applied to forestry, agriculture, and rural development. Our results showed that supporting social innovators and local actors at the early stage of social innovation processes is key for efficiently addressing and tackling challenges and opportunities. Additionally, we showed that the process of defining a social innovation is complex and requires recursive engagement, which might lead to evolution through time, especially in the first phases of the process. Lastly, conducting the feasibility assessment enabled strategic thinking on crucial dimensions for designing a promising social innovation action, such as social networks management, financial sustainability, and know-how. Such findings helped us to draw general lessons for the development and governance of social innovation actions in rural areas, potentially applicable to any rural sector.