The Capacity Development Results Framework (CDRF or the Framework) is a powerful new approach to the design, implementation, monitoring, management, and evaluation of development programs. Originally conceived to address well-documented problems in the narrow field of capacity development, the Framework can be profitably applied to assess the feasibility and coherence of proposed development projects, to monitor projects during implementation (with a view to taking corrective action), or to assess the results, or even the design, of completed projects.
This report identifies key obstacles to job creation within the cashew sector and provides insight on how to remove obstacles. It begins with a general description of cashew culture, its characteristics and cultivation practices, and emphasizes the multipurpose uses of cashew, including a range of by-products that could support generation of new and better jobs. The report also presents an overview of the world cashew industry.
This paper looks at two aspects of institutional development in a university setting. It looks at how the design of South – North collaboration may have a bearing on the type of partnership that evolves. And it addresses the issue of how institutional commitment influences the depth and intensity of change processes.
How do the innovation platforms and facilitated networks currently deployed in the Global South help trigger dynamics of collaborative innovation that can be useful for the agroecological transition? What are the difficulties encountered and how can they be overcome? This chapter throws lights on these questions. The first part justifies the interest in studying the ecologisation of agriculture through the prism of collaborative innovation and of its paradoxes.
Postharvest loss exacerbates the food insecurity and welfare loss of farming households in developing countries. This paper analyses the effect of improved storage, a climate-smart crop management technology, on household food and nutrition security, market participation and welfare using nationally representative data from Ethiopia. Endogenous switching regression models are employed to control for selection bias and unobserved heterogeneity.
The slow adoption of new agricultural technologies is an important factor in explaining persistent productivity deficits among smallholders in Sub-Saharan Africa (SSA). Farmers delay in particular the uptake of technology packages. Since knowledge constraints are an important barrier to adoption, effective extension approaches are key. In recent decades, extension systems in many SSA countries have moved towards decentralized “bottom-up” models involving farmers as active stakeholders.
This year’s International Women’s Day (IWD) falls at a time where women across the globe are being disproportionately impacted by the COVID-19 pandemic. The fisheries and aquaculture sectors have been particularly affected by the crisis. Although the data are limited, a significant amount of the workforce in these sectors is comprised of women. Most women carry out non-vessel based activities, including gleaning, processing and marketing, but the number of women in leadership positions is low.
he European Union's long-term strategy for agricultural research and innovation was published in January 2016 following a year-long process of development, which included targeted consultations. Based on five priority areas, the strategy guides the programming of its main research and innovation programme – Horizon 2020 – not only for 2018 to 2020 but also for the period beyond 2020, to be covered by Horizon Europe.
Extension and advisory services (EAS) play a key role in facilitating innovation processes, empowering marginalized groups through capacity development, and linking farmers with markets. Advisory services are increasingly provided by a range of actors and funded from diverse sources. With the broadened scope of EAS and the growing complexity of the system, the quantitative performance indicators used in the past (e.g. related to investment, staffing or productivity) are not adequate anymore to understand whether the system is well-functioning.
The slow rate of agricultural development in Africa can largely be blamed on lack of functional relationships between technology/innovation generation centers, local farming communities, financial institutions and markets. The result has been low penetration of promising innovations/technologies thus, low adoption levels and/ or partial adoption; and limited or no access to markets and financial services by farmers. In general, most of the innovation/technologies developed have not been extensively out-scaled; some of which are not even packaged in user friendly formats.