The Bureau for Food Security (BFS) of USAID commissioned five country studies examining the scaling up of agricultural innovations through commercial pathways in developing countries, to understand how the Agency – including its country missions and implementing partners (IPs) – can use donor projects to achieve greater scale and long-term commercial sustainability.
The Scaling Agricultural Innovations Workshop gathered scaling experts from a range of organizations and agriculture sectors to share their experiences and ideas on the findings and lessons learned from five case studies (hybrid maize in Zambia, irrigated rice in Senegal, Purdue Improved Crop Storage bags in Kenya, agricultural machinery services in Bangladesh, and Kuroiler chickens in Uganda).
The United States Agency for International Development (USAID) funded the Assets and Market Access Innovation Lab (AMA IL) to advance knowledge and understanding of development approaches and technologies in order to increase rural households’ ability to acquire, protect, and effectively utilize productive assets. This evaluation assessed AMA IL’s overall program performance across five themes: research quality; outreach and dissemination; policy; capacity building; program management; and future directions.
This report provides summary findings and conclusions from a set of five case studies examining the scaling up of pro-poor agricultural innovations through commercial pathways in developing countries.
In 2016 and 2017, the Feed the Future Senegal Naatal Mbay project, funded by the United States Agency for International Development (USAID), conducted a study on women’s empowerment in agriculture to determine the level of empowerment among participating households and to identify the main constraints to empowerment.
This paper uses a Rural Investment and Policy Analysis (RIAPA) model for the mainland Tanzania economy to identify the agricultural activities and value-chains whose expansion will be most effective at fostering economic development along four dimensions: generating economic growth in the agricultural-food sector of Tanzania; reducing national and rural poverty; generating employment; and improving nutrition by diversifying dietsThe results of scenarios run through the model suggests that there is no single value-chain that can achieve all of the policy objectives.
The report introduces 30 young innovators, 21 featured with full stories, and nine other "innovators to watch". They come from countries including Barbados, Botswana, Cameroon, Côte d'Ivoire, Kenya, Nigeria, Uganda, Jamaica, Senegal, Tanzania. The publication presents a multidimensional picture of the emerging field of ICT entrepreneurship in agriculture in developing countries. It describes challenges but also successes already achieved. It contains advice for aspiring agtech entrepreneurs as well as recommendations from youth on how to support their ventures.
This paper comparatively analyzes the structure of agricultural policy development networks that connect organizations working on agricultural development, climate change and food security in fourteen smallholder farming communities across East Africa, West Africa and South Asia.
This report, drawing on a rapid desk-based review, seeks to outline the potential role of Afican Advisory Services (AAS) in addressing climate change and explores how far AAS in sub-Saharan Africa (SSA) are able to respond to climatic and other pressures. Recommendations are outlined, indicating how AFAAS can help AAS to understand climate change better and become more ‘adaptive’ in their responses
Literature is scanty on how public agricultural investments can help reducing the impact of future challenges such as climate change and population pressure on national economies. The objective of this study is to assess the medium and long-term effects of alternative agricultural research and development investment scenarios on male and female employment in 14 African countries. The authors first estimate the effects of agricultural investment scenarios on the overall GDP growth of a given country using partial and general equilibrium models.