In an endeavor to promote agricultural innovation, the Government of India introduced two pieces of legislation: (i) the Protection of Plant Varieties and Farmers' Rights Act, 2001, which provide for the registration of traditional crop varieties as farmers' varieties, and for the sharing of benefits when those varieties are incorporated into new commercial varieties; and (ii) the Geographical Indications of Goods (Registration and Protection) Act 1999, which provides for the registration of indications to promote the marketing of goods which derive their quality and characteristics from th
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.
This paper identifies the stakeholders of System of Rice Intensification (SRI), their roles and actions and the supporting and enabling environment of innovation in the state as the elements of the Agricultural Innovation Systems (AIS) in SRI in Tripura state of India and studies the relationship matrix among the stakeholders. Methodology: A descriptive research design was followed to study the agricultural innovation system in SRI.
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 paper contends that the exclusion of millions of poor from agricultural development gains is inexorably linked to the innovation system features that have evolved over time. An oft repeated lament of the Government of India about the inadequacy of reforms in agricultural research and extension, is used to explore the structure and institutions of agricultural innovation. Three main components of the agricultural innovation system, are the agricultural research and extension actors, the farming communities, and policy making agencies.
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.
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.
This report assesses trends in investments and human resource capacity in agricultural R&D in countries in West Asia and North Africa (WANA), focusing on developments during 2009–2012. The analysis is based on information from a set of country factsheets prepared by the Agricultural Science and Technology Indicators (ASTI) program of the International Food Policy Research Institute (IFPRI), using comprehensive datasets derived from primary surveys targeting over 300 agencies in 11 countries during 2013–2014.