Discussions on food security in the Global North have raised questions about the capacity of peri-urban organic agriculture to provide sufficient healthy food for the urban market. Dealing with food security requires more attention to how to protect peri-urban organic farming systems from urban pressures while strengthening the sustainability of local food systems.
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.
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.
The use of digital technologies has been recognized as one of the great challenges for businesses of the 21st century. This digitalization is characterized by the intensive use of information technologies in the different stages of the value chain of a sector. In this context, smart agriculture is transforming the agricultural sector in terms of economic, social, and environmental sustainability.
The European small ruminants (i.e. sheep and goats) farming sector (ESRS) provides economic, social and environmental benefits to society, but is also one of the most vulnerable livestock sectors in Europe. This sector has diverse livestock species, breeds, production systems and products, which makes difficult to have a clear vision of its challenges through using conventional analyses. A multi-stakeholder and multi-step approach, including 90 surveys, was used to identify and assess the main challenges for the sustainability of the ESRS to prioritize actions.
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.
Agricultural mechanization in developing countries has taken at least two contested innovation pathways—the “incumbent trajectory” that promotes industrial agriculture, and an “alternative pathway” that supports small-scale mechanization for sustainable development of hillside farming systems.
The main objective of this study was to investigate and analyse the farmers’ perceptions on criteria and indicators for sustainable management of indigenous agroforestry systems in Uttarakhand state of India. The present study was conducted to document the traditional knowledge and considered five broad categories including agriculture management, livestock management, forest sustainability, social benefits, and policy inputs along with 16 criteria and 34 indicators were identified.
Many indigenous vegetables are generally underutilized across different cultures, but they remain alternatives to exotic vegetables that often are expensive. This study investigated effects of participation in indigenous vegetable production on livelihood of farmers. Multistaged sampling was used to collect data from 222 vegetable farmers sampled from using a semi-structured questionnaire. Principal component analysis and endogenous switching regression (ESR) were employed for analysis