This brief describes the activities carried out by the International Fund for Agricultural Development in Moldova. Describes the projects that aims to enhance the economical development of the family farms in the country and the IFAD's strategy for reaching this goal
Thw IFAD-funded Programme d'Appui au Développement Rural dans le Guéra (PADER-G) project was implemented with the main objective of supporting poor rural households and smallholder farmers in Guéra, Chad to improve their food security and livelihoods. One specific aim of PADER-G, designed to manage risks of food shortage, was to improve cereal storage among smallholder farmers through the construction of community cereal banks (banque de céréales).
This bcrochure describes the programme ""APRACA: Enhancing access of poor rural people to sustainable financial services through policy dialogue, capacity-building and knowledge-sharing in rural finance" that aimed to: enhanced the capacity of regional financial institutions in valuechain and renewableenergy financing, riskmanagement strategies, and microfinance for agriculture.
Innovation Platforms (IPs) have become a popular vehicle in agricultural research for development (AR4D). The IP promise is that integrating scientific and local knowledge results in innovations that can have impact at scale. Many studies have uncovered how IPs work in various countries, value chains and themes. The conclusion is clear: IPs generate enthusiasm and can bring together stakeholders to effectively address specific problems and achieve ‘local’ impact.
This paper reportson the implementation of a conceptual framework to carry out an impact evaluation of multi-stakeholder innovation systems using the NLA as the object of study. The assessment focused on the business relationship constructs of trust and capacity development. Survey interviews, in-depth interviews and focus group discussions collected data from agribusiness stakeholders linked with the NLA and from a control group of stakeholders involved with other networks. The quantitative data were analysed through factor and regression analyses