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 paper estimates the farm level impact of producer organizations’ (PO) membership in Slovakia and the effectiveness of support provided to POs under the EU Rural Development Programme (RDP). The study employ the Propensity Score Matching and Difference in Differences econometric approach on a database of large Slovak commercial farms for 2006 and 2015. First, our results show that belonging to a PO improves the economic performance of farms in Slovakia.
This article explores how conflict-induced displacement influences agricultural innovation processes and systems, and its implications after the return home or permanent resettlement of smallholder farmers. Results show that high rates of agricultural innovation occurred during displacement in the Sudanese Civil War (1983-2005), many of which were maintained afterwards.
The importance of extension services in helping smallholder farmers to address the many challenges of agricultural production cannot be over-emphasized. However, relatively few studies have been conducted that investigate how the capacities of agricultural extension agents can be built to more effectively assist smallholder farmers in managing climate risks and impacts. As climate change is a key threat to smallholder food production, addressing this issue is increasingly important.
This study identifies entry points for innovation for sustainable intensification of agricultural systems. An agricultural innovation systems approach is used to provide a holistic image of (relations between) constraints faced by different stakeholder groups, the dimensions and causes of these constraints, and intervention levels, timeframes and types of innovations needed. The authors aim at showing that constraints for sustainable intensification of agricultural systems are mainly of economic and institutional nature.
While livestock constitute a strategic sector to reduce poverty and enhance growth in developing countries, decision makers often lack data reflecting the diversity of livestock functions and systems. The authors therefore mobilised the Livestock Sector Investment Policy Toolkit to assess the economic contributions of livestock in Zambia. Valuing their plural contributions by system, we found that mixed rainfed systems were the main contributors to added value, even if specialised intensive systems provided around 45% of meat and milk production.
Given the diversity and context-specificity of innovation systems approaches, in March 2007 the World Bank organized a workshop in which about 80 experts (representing donor agencies, development and related agencies, academia, and the World Bank) took stock of recent experiences with innovation systems in agriculture and reconsidered strategies for their future development. This paper summarizes the workshop findings and uses them to develop and discuss key issues in applying the innovation systems concept. The workshop’s recommendations, including next steps for the wider
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 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.