This Doctoral thesis analyzes the Ethiopian agricultural innovation, in particular the case of dairy farming and business in the Addis Ababa milk shed. The innovation capacity assessment model is used to develop the methodology of this study. Data collection, guided by the key components of the innovation system framework, include sector mapping, historical evolution of the sector, resource base analysis, interactions between actors, the policy environment, habits and practices, and resilient features and leverage points.
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 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
Magdalena Blum, Extension Systems Officer (Food and Agriculture Organization, Rome), presented the topic of Agricultural Innovation Systems in Family Farming during the 3rd GFRAS Annual Meeting, "The Role of Rural Advisory Services in Agricultural Innovation Systems", 26-28 September 2012, Philippines.
The presentation focuses on main issues and results from the FAO e-conference on AIS in family farming (4 June - 1 July 2012),including the role for innovation brokers and the vexed issue of funding for brokering.
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 provides a review of agronomic management practices supporting sustainable crop production systems and intensification, and testifying to developments in the selection of crops and cultivars. The paper also describes crop farming systems taking a predominantly ecosystem approach and it discusses the scientific application of this approach for the management of pest and weed populations.
This paper offers a perspective on the Agricultural Knowledge and Innovation System. The first chapter gives an introduction to the subject and explains the role of SCAR and of the Strategic Working Group AKIS. The second chapter investigates the AKIS and their role in innovation, including the policy context of the European Innovation Partnership “Agricultural productivity and sustainability”. Chapter 3 discusses the relation in a globalised world between Agricultural Research (AR) and Agricultural Research for Development (ARD).
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.