This report reviews the evidence of impact of capacity strengthening on agricultural research for development (AR4D) in developing countries. The study was commissioned by DFID as part of the documentation process of the project Strengthening Capacity for Agricultural Research for Development in Africa (SCARDA). 

This paper argues that impact assessment research has not made more of a difference because the measurement of the economic impact has poor diagnostic power. In particular it fails to provide research managers with critical institutional lessons concerning ways of improving research and innovation as a process. Paper's contention is that the linear input-output assumptions of economic assessment need to be complemented by an analytical framework that recognizes systems of reflexive, learning interactions and their location in, and relationship with, their institutional context.

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.

Many capacity development (CD) programs and processes aim at long‐term sustainable change, which depends on seeing many smaller changes in at times almost invisible fields (rules, incentives, behaviours, power, coordination etc.). Yet, most evaluation processes of CD tend to focus on short‐term outputs focused on clearly visible changes.

Innovation platforms are equitable, dynamic spaces designed to bring heterogeneous actors together to exchange knowledge and take action to solve a common problem. Although innovation platforms are being set up to attain collectively defined development objectives, there are limited methods and tools available using quantitative data to evaluate whether they are effective.

This piece examines the prevailing thinking and trends in evaluation (specifically impact assessment), which is important for understanding how a contest of ideas has become something of a battleground in the quest for better evidence. It is particularly Impact assessment and the quest for the Holy Grail Common Fund for Commodities relevant for the many organisations, including CFC, who desire methodological rigour in their evaluations and yet have to be realistic when it comes to evaluation budgets. 

Using household survey data from Ethiopia, this paper evaluates the impact of agricultural cooperatives on smallholders’ technical efficiency. The authors used propensity score matching to compare the average difference in technical efficiency between cooperative member farmers and similar independent farmers. The results show that agricultural cooperatives are effective in providing support services that significantly contribute to members’ technical efficiency.

This paper shares the first results of an ongoing collaborative action research in which ten development organisations explored different Planning, Monitoring and Evaluation (PME) approaches with the aim of dealing more effectively with complex processes of social change. There are four reasons why we think this paper may be of interest: 1) The paper illustrates a practical example of action research whereby the organisations themselves are becoming the researchers.

This article studies the impact of innovation platforms in Tanga Region, Tanzania, set up by the MilkIT dairy development project to intensify smallholder production through feed enhancement and value chain approaches. The conceptual framework used builds up from three socio-economic theories. The Structure-Conduct-Performance model of markets contributes its elegant assumption, linking the way markets are organized with how market actors behave, which has an influence on market performance.

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.