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.
Agricultural innovation has played a critical role in the economic transformation of developing East Asian countries over the past half century. The Green Revolution—in the form of modern seed varieties, chemical fertilizers, pesticides, and modern machinery—has contributed to increased crop yields and farm incomes, and decreased poverty across the region. Although policy makers’ traditional focus on expanding and intensifying agricultural production has brought many benefits, the focus on productivity has come at a rising cost.
This is one of a series of training modules developed following several workshops on agricultural innovation systems (AIS) and value chains development (VCD) organized for principle investigators of ASARECA’s programs in 2010 and 2011. The modules were compiled to assist in facilitating similar training that participant trainees may organize. The principle behind teaching and presenting the two concepts of innovation systems and VCD is based on the fact that they are strongly related, and there is opportunity for thinking and applying the two together in most agricultural programs.
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.
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.
The central question in increasing productivity and generating incomes in African agriculture is how to move from technology generation to innovations that respond to constraints of agricultural production along the value chains. This question was considered in the context of subsistence agriculture, smallholder production systems, inefficient marketing and investments by the private sector, a preponderance of public interventions, and inadequate policies.
This brief explores the definition of Agricultural Knowledge and Information System (AKIS) and the inventory of AKIS in Europe.
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.