The IAR4D concept has generated a large volume of success stories on many Innovation Platforms where it was implemented for the proof of concept and on the platforms of Complementary projects. It is noteworthy that in course of developing the IAR4D concept FARA engaged is series of trial efforts to arrive at a valid framework for the implementation of the IAR4D concept, the Innovation platform was developed from these thoughts and harmonization of knowledge and experience.
The paper sets out the general concepts and principles of the Agricultural Innovation Systems approach, and its application to agricultural research and development, particularly in sub-Saharan Africa. It is intended for those interested in applying new approaches to research with farmers, NGOs and the private sector that lead to developmental outcomes.
The paper explores the strength of social networks in the agricultural innovation systems (AISs) in Ghana and the effect of AISs on adoption of improved farm technology. The paper uses social network analysis (SNA) tools to identify, map and analyze the AISs and the two-stage Heckman selection model. Combining qualitative and quantitative methods allows testing the differential effects of social networks on technology adoption in the Ghananian Plantain Sector
This background note for the development of an AIS Investment Sourcebook provides a menu of tools and guidance to invest in agricultural innovation in different contexts. The content is drawn on tested good practice examples and innovative approaches with emphasis on lessons learned, benefits and impacts, implementation issues, and replicability
This report reviews recent trends in agricultural innovation systems (AIS) and discusses the impact of a wide range of policies on the creation and diffusion of innovation in the agricultural and agrifood sector. It suggests a framework for analysing the role of governments in fostering increased innovation, with a view to helping to identify practical actions that governments could take to improve productivity growth, sustainable use of resources, and resilience to future market developments in national and global agriculture and agri-food systems.
This sourcebook contributes to identifying, designing, and implementing the investments, approaches, and complementary interventions that appear most likely to strengthen Agricultural innovation systems (AIS) and to promote agricultural innovation and equitable growth. It emphasizes the lessons learned, benefits and impacts, implementation issues, and prospects for replicating or expanding successful practices. The information in this sourcebook derives from approaches that have been tested at different scales in different contexts.
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 paper applies the framework for pro-poor analysis to welfare changes from a CGE-microsimulation model to analyze what are the better or worse models for agriculture modernization, and to estimate the contribution of growth and redistribution to changes in poverty in DRC. The findings indicate that labor-using technological change generates absolute and relative pro-poor effects whereas capital-using technological change leads to immiserizing growth.
Multi-actors networks are increasingly used by farmers to link between them and to be interactively connected with other partners, such as advisory organizations, local governments, universities, and non-farm organizations. Given the importance assigned to the agricultural innovation by EU resorting to the networking between the research chain actors and the farmers, a strong focus on enhancing the creation of learning and innovation networks is expected.
National governments, especially in sub-Saharan Africa, have limited budgets and are forced to make difficult funding decisions regarding the provision of social services and the support of agricultural programs. These provisions can play a critical role in rural incomes and agricultural production but due to data constraints, the effects of different types of social services on agricultural productivity in this region have not been analyzed in detail.