Agricultural Innovation System (AIS) is a collection of institutions enabling agricultural and food system transformation in a country. Any attempt to engage in emergency interventions by institutions and bounce back with higher levels of resilience requires strong organizational and human capacity as a prerequisite. What role do these institutions play in emergencies such as COVID-19 and how can they bounce back after such a crisis is over? What can be done to help these institutions build resilience capacity for such recovery?
Agricultural research continues to be a good investment. The studies show that investments in international and national agricultural research account for almost all of the total factor productivity (TFP) growth in SSA and large shares of agricultural growth globally. The existing agricultural research institutions have, on average, delivered rates of return to public investment above 30-40%, which is much higher than the 5-10% available to other public investments or the 2-5% cost of borrowing public funds.
This learning module on Applying innovation system concept in agricultural research for development has been prepared to serve as a tool in achieving the objective of strengthening the capacity of project staff and other researchers and actors who are believed to have a key role to play in ushering in market-led agricultural transformation. This includes national, regional, international and private sector agricultural researchers, university lecturers, and others engaged in biophysical as well as social science research.
The CGIAR research program on livestock and fish aims to sustainably increase the productivity of small-scale livestock and fish systems so as to increase the availability and affordability of meat, milk and fish for poor consumers across the developing world. The purpose of this document is to lay out a Monitoring, Evaluation and Learning (MEL) Framework for the program. The Framework provides a concise narrative of why the M&E system is important, how it operates, what kinds of data it will collect and who is responsible for data collection and analysis.
This paper discusses a range of approaches and benchmarks that can guide future design of value chain impact evaluations. Twenty studies were reviewed to understand the status and direction of value chain impact evaluations. A majority of the studies focus on evaluating the impact of only a few interventions, at several levels within the value chains. Few impact evaluations are based on well-constructed, well-conceived comparison groups. Most of them rely on use of propensity score matching to construct counterfactual groups and estimate treatment effects.
Between 2012 and 2016, in collaboration with research and development partners, ILRI undertook specific action research and capacity development interventions to address identified challenges and generate evidence for wider applicability along the pig value chain. The work was funded by three major bilateral donors, the European Commission/International Fund for Agricultural Development (EC/IFAD) and Irish Aid.
The gender capacity assessment in Ethiopia, which took place in December 2016, analysed the current gender capacities against desired future gender capacities of the African Chicken Genetic Gains (ACGG) partners. It measured six core gender capacities at organizational and at individual (staff) levels of all six engaged national and regional research institutes. These capacities are assessed in relation to the environmental (contextual) level; the institutional and policy environment that enables or disables the other capacities.
The Nile Basin Development Challenge (Nile BDC) is funded by the CGIAR Challenge Program on Water and Food (CPWF) to improve the resilience of rural livelihoods in the Ethiopian highlands through a landscape approach to rainwater management. The first project of the Program reviewed past research and development experiences with sustainable land and water management in Ethiopia. This brief summarizes key points from the study, which approached the subject from a broadly historical perspective, tracing changes in policies and strategies from the 1970s to the present.
Multi-stakeholder or innovation platforms are increasingly seen as a promising vehicle for agricultural innovation and development. In the field of agricultural research for development (AR4D), such platforms are an important element of a commitment to more intentional, structured and long-term engagement among sector stakeholders.
Four types of scaling are discussed in this brief. The first two focus on ways individual technologies or interventions are taken to scale through platforms. The third is when a platform adjusts to address different scales. The fourth is when the innovation platform approach is replicated. This brief is part of the series of ‘practice briefs’ intended to help guide agricultural research practitioners who seek to support and implement innovation platforms.