The COVID-19 pandemic is expected to have serious health and economic ramifications in Africa. This paper presents a technical position on demand and supply shocks associated with the COVID19 pandemic within the African context. We document the disruptions associated with containment measures implemented by various governments and their implications on labour mobility, import and export of food commodities, production and productivity of major staples and prices of food items.
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 process of adopting innovation, especially with regard to precision farming (PF), is inherently complex and social, and influenced by producers, change agents, social norms and organizational pressure. An empirical analysis was conducted among Italian farmers to measure the drivers and clarify “bottlenecks” in the adoption of agricultural innovation. The purpose of this study was to analyze the socio-structural and complexity factors that affect the probability to adopt innovations and the determinants that drive an individual’s decisions.
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).
SALSA is an EU Horizon 2020 project that set out to assess the current and future role of small farms and related small food businesses (suppliers, processors, distributors) in achieving sustainable Food and Nutrition Security (FNS). SALSA studied small farms in 30 reference regions in 20 countries - 25 regions (at the so-called NUTS3 administrative level) in Europe and 5 regions in Africa.
SALSA est un projet Horizon 2020 de l'UE qui visait à évaluer le rôle actuel et futur des petites exploitations agricoles et des petites entreprises alimentaires associées (fournisseurs, transformateurs, distributeurs) dans la réalisation d'une sécurité alimentaire et nutritionnelle (SNA) durable. SALSA a étudié de petites exploitations dans 30 régions de référence dans 20 pays : 25 régions (au niveau administratif dit NUTS3) en Europe et 5 régions en Afrique.
European agriculture is facing increasing economic, environmental, institutional, and social challenges, from changes in demographic trends to the effects of climate change. In this context of high instability, the agricultural sector in Europe needs to improve its resilience and sustainability. Local assessments and strategies at the farming system level are needed, and this paper focuses on a hazelnut farming system in central Italy. For the assessment, a participatory approach was used, based on a stakeholder workshop.
The EU rural development policy has addressed challenges related to climate change in agriculture by introducing public voluntary schemes, which financially support the adoption of climate-smart agricultural practices. Several factors, most of which are non-financial ones, drive adoption and continuation of these schemes by farmers. Despite the importance of these factors, only a few studies explore their role in the European context. This paper contributes to filling this gap from a twofold perspective.
The study proposes a knowledge-intensive and qualitative research methodology based on researcher-farmer participatory approach, with the aim to improve the state of knowledge on organic rice, explore the yield potential and variability, and identify the successful agronomic practices. A wide range of cropping systems placed in North Italy were monitored and analysed during three years by a multi-actor network.
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.