The level of agricultural productivity in Sub-Saharan Africa remains far below the global average. This is partly due to the scarce use of production- and process-enhancing technologies. This study aims to explore the driving forces and effects of adopting innovative agricultural technologies in food value chains (FVC). These enhancing FVC technologies are referred to as upgrading strategies (UPS) and are designed to improve specific aspects of crop production, postharvest processing, market interaction, and consumption.
This study presents a quasi-experimental analysis of the impact of FairTrade certification on the commercial performance of coffee farmers in Tanzania. In doing so the study emphasises the importance of a well-contextualised theory of change as a basis for evaluation design. It also stresses the value of qualitative methods to control for selection bias. Based on a longitudinal (pseudo-panel) dataset comprising both certified and conventional farmers, it shows that FairTrade certification introduced a disincentive to farmers’ commercialisation.
This report provides a synthesis of all findings and information generated through a “stocktaking” process that involved a desk study of Prolinnova documents and evaluation reports, a questionnaire to 40 staff members of international organizations in agricultural research and development (ARD), self-assessment by the Country Platforms (CPs) and backstopping visits to five CPs. In 2014, the Prolinnova network saw a need to re-strategise in a changing context, and started this process by reviewing the activities it had undertaken and assessing its own functioning.
mNutrition was a five-year global initiative supported by the Department for International Development (DFID) between 2013 and 2018, organised by GSMA and implemented by in-country mobile network operators (MNOs) and other providers. The evaluation was carried out by a consortium of researchers from Gamos, the Institute of Development Studies, and the International Food Policy Research Institute. This briefing summarises key evaluation findings and presents lessons learned on three key topics: 1.
This training manual was developed for Africa RISING, a USAID funded research-for-development (R4D) program that recognizes gender mainstreaming as key for achieving its overall research and development objectives. The program is based on an integrated action research and farming-systems approach, and strives for gender transformation. A gender capacity assessment in 2015 identified a pronounced demand among Africa RISING scientists for training in gender analysis. As a first step towards addressing this need, an annotated bibliography with selected sources for self-learning was developed.
The Food and Agriculture Organization of the United Nations (FAO) has developed a web-based Rift Valley fever (RVF) Early Warning Decision Support Tool (RVF DST), which integrates near real-time RVF risk maps with geospatial data, historical and current RVF disease events from EMPRES Global Animal Disease Information System (EMPRES-i) and expert knowledge on RVF eco-epidemiology.
The design of capacity development interventions is a crucial phase in the capacity development (CD) for agricultural innovation systems (AIS) cycle of the TAP Common Framework. Intervention planning follows from and builds on the visioning exercises and needs assessments carried out beforehand. Options for CD interventions will depend on the country context, ongoing programmes and funding opportunities. Prioritization should also include identification of activities that can take off immediately.
Ce dépliant donne un aperçu du Cadre commun sur le renforcement des capacités (CD) pour les Systèmes d'innovation agricole (AIS).
Este folleto proporciona una visión general del Marco Común de la TAP sobre el Desarrollo de Capacidades (DC) para los Sistemas de Innovación Agrícola (SIA).
The Outcome mapping factsheet provides a series of steps to gather information on the outcomes of the process initiated by capacity development for agricultural innovation. This tool provides an overview of the outcome mapping methodology used for planning and assessing projects/programmes oriented towards change and social transformation. A simplified version (three stages and 10 steps) is proposed, based on the original IDRC methodology and experiences from the application in the CDAIS project.