L’agriculture mondiale est confrontée à de nombreux défis en termes de souveraineté alimentaire. Il s’agit d’abord d’assurer un accès équitable à la nourriture et aux produits agricoles de première nécessité pour une population mondiale croissante. Il s’agit ensuite d’inclure la production agricole dans une perspective plus générale de lutte contre la pauvreté, l’inégalité et la malnutrition dans le monde. Il s’agit enfin de contribuer à une gestion plus durable des ressources naturelles et agricoles et de la biodiversité.
L’article analyse en quoi et comment la recherche peut être un vecteur de renforcement des dynamiques collectives des territoires par la méthode participative ImpresS (Impact des recherches au Sud). Celle-ci qualifie la façon dont la recherche accompagne les processus d’innovation et y contribue, et la façon dont elle renforce les actions collectives par la création de nouveaux espaces de dialogue et d’échanges entre les chercheurs et les parties prenantes d’un projet d’indication géographique (IG).
Climate-smart agriculture (CSA) is an approach to help agricultural systems worldwide, concurrently addressing three challenge areas: increased adaptation to climate change, mitigation of climate change, and ensuring global food security – through innovative policies, practices, and financing. It involves a set of objectives and multiple transformative transitions for which there are newly identified knowledge gaps. We address these questions raised by CSA within three areas: conceptualization, implementation, and implications for policy and decision-makers.
This paper analyses a monitoring, evaluation and learning (MEL) system developed within an agricultural research for development institution. The system applies aspects of the Outcome Harvesting tool and focuses on learning for adaptation and improvement of innovation processes. Developmental evaluation principles are applied to discuss its application. The MEL system provides insight into the processes and interactions with next users that generate outcomes.
Cet article présente une évaluation théorique de la performance urbaine des modèles alimentaires alternatifs dans la prise en charge des objectifs de développement durable (ODD) en vue d’améliorer la sécurité alimentaire urbaine. Elle concerne les modèles des systèmes alimentaires les plus relatés dans la littérature, à savoir le système alimentaire territorialisé (SAT), le City-Region Food System (CRFS) et le système alimentaire urbain intelligent (SAUI) en émergence.
This report is concerned with the ‘who?’ ‘what?’ and ‘how?’ of pro-poor extension. It builds on the analytical framework proposed in the Inception Report of the same study (Christoplos, Farrington and Kidd, 2001), taking it forward by fleshing out the analysis with empirical information gathered from several countries during the course of the study (from primary data in Bolivia, Colombia, Nicaragua, Uganda and Vietnam, and from secondary sources in a range of other countries, including India), and drawing conclusions on the scope for action by governments and donors in a range of contexts.
This paper discusses a methodology to model precipitation indices and premium prices for index-based drought insurance for smallholders. Spatial basis risk, which is borne by the insured, is a problem, especially in variable topography. Also, site-specific drought risk needs to be estimated accurately in order to offer effective insurance cover and ensure financial sustainability of the insurance scheme. We explore farmers' perceptions on drought and spatial climate variability and draw conclusions concerning basis risk with regards to the proposed methodology.
This paper has been prepared under the guidelines provided by the TAP Secretariat at the FAO, as a contribution to the G20 initiative TAP, which includes near 40 partners and is facilitated by FAO. Its purpose is to provide a Regional synthesis report on capacity needs assessment for agricultural innovation, with capacity gaps identified and analyzed, including recommendations to strengthen agricultural innovation systems (AIS) and draft policy recommendations to address the capacity gaps.
This report assesses trends in investments, human resource capacity, and research outputs in agricultural R&D -excluding the private (for-profit) sector- in LAC. It is an update of Stads and Beintema (2009), covering a more complete set of countries and focusing primarily on developments during 2006-2012/2013.
Traditional approaches to innovation systems policymaking and governance often focus exclusively on the central provision of services, regulations, fiscal measures, and subsidies.