While the Agricultural Science and Technology Indicators (ASTI) initiative provides data and analysis of domestic public and private spending on agricultural research and development for a wide range of developing countries, the literature pays little attention, if any, to foreign assistance to agricultural, fishing and forestry research and agricultural extension. The objective of the present study is to fill this gap.
Agricultural innovation in low-income tropical countries contributes to a more effective and sustainable use of natural resources and reduces hunger and poverty through economic development in rural areas. Yet, despite numerous recent public and private initiatives to develop capacities for agricultural innovation, such initiatives are often not well aligned with national efforts to revive existing Agricultural Innovation Systems (AIS).
This paper investigates the introduction of Integrated Pest Management (IPM) in Canino's area (Italy), from an agricultural innovation system (AIS) perspective focusing on the roles of the innovation actors and the innovation impact pathway. The IPM research in Canino was conducted with a wide range of actors including research, advisory services, producer cooperatives and the private sector in a favourable policy environment facilitating the fast and wide adoption of IPM.
The paper, prepared for the "High Level Policy Dialogue on Investment in Agricultural Research for Sustainable Development in Asia and the Pacific" (Bangkok Thailand; 8-9 December 2015), presents the Common Framework on Capacity Development for Agricultural Innovation Systems (CDAIS).The framework is a core component of the Action Plan of the TAP, a G20 Initiative, aiming to increase coherence and effectiveness of capacity development for agricultural innovation that lead to sustainable change and impact at scale.
Research, extension, and advisory services are some of the most knowledge-intensive elements of agricultural innovation systems. They are also among the heaviest users of information communication technologies (ICTs). This module introduces ICT developments in the wider innovation and knowledge systems as well as explores drivers of ICT use in research and extension.
Le projet CALAO – Capitalisation d’expériences d’acteurs pour le développement de techniques agroécologiques résilientes en Afrique de l’Ouest – a été mis en œuvre au cours de l’année 2017 dans le cadre du Projet d’appui à la sécurité alimentaire en Afrique de l’Ouest (PASANAO), financé par l’AFD et dont la maîtrise d’ouvrage est assurée par la CEDEAO.
La production et la commercialisation de lait en Afrique de l’Ouest fait partie intégrante de l’économie et du mode de vie des familles d’éleveurs ruraux. La filière présente des potentiels de croissance certains avec un cheptel important, un secteur de la transformation dynamique et des débouchés en forte augmentation du fait de la croissance démographique et de l’urbanisation. Cette filière lait local est cependant aux prises à de nombreuses difficultés internes qui limitent fortement son développement.
Note de synthèse du rapport réalisé par la commission Agriculture et alimentation (C2A) de Coordination SUD. Il met en lumière les enjeux d’une adaptation des agricultures familiales aux changements climatiques sous l’angle des politiques publiques à partir de l’étude de cas des politiques mises en place au Costa Rica, au Niger et au Vietnam.
La agricultura familiar de los países del Sur constituye uno de los sectores más directamente afectados y amenazados por los cambios climáticos. La cuestión de la adaptación, y en particular, la de la adaptación de la agricultura, ha ido ganando terreno en el transcurso de la última década en las agendas políticas nacionales e internacionales.
This study explores the properties of innovation systems and their contribution to increased eco-efficiency in agriculture. Using aggregate data and econometric methods, the eco-efficiency of 79 countries was computed and a range of factors relating to research, extension, business and policy was examined. Despite data limitations, the analysis produced significant results.