The question of how agricultural research can best be used for developmental purposes is a topic of some debate in developmental circles. The idea that this is simply a question of better transfer of ideas from research to farmers has been largely discredited. Agricultural innovation is a process that takes a multitude of different forms, and, within this process, agricultural research and expertise are mobilised at different points in time for different purposes. This paper uses two key analytical principles in order to find how research is actually put into use.
This is one of lead papers presented at Innovation Asia-Pacific Symposium: 4-7 May, 2009 Kathmandu, Nepal. Cases representing practical examples of what it might mean to use innovation systems interventions and recognize key features are presented. Four cases represent actions facilitating uptake of research outputs including; a crop pest bio-control method; post harvest management of coffee; isolation and commercialization of an indigenous seed variety and; a community based system to forecast armyworm plagues.
This paper is based on the 8th GLOBELICS International Conference: Making Innovation Work for Society (1 - 3 November 2010, University of Malaya, Kuala Lumpur, Malaysia). The paper presents three projects of the Research Into Use Program, located in South asia, which are applying three agriculture value chain development oriented knowledge for wider use. Practical aspects of the process and roles played by different types of ageincies in the innovation are discussed.
This paper introduces the Multilevel Stakeholder Influence Mapping (MSIM) tool, which aims to assist analysts in the study of power dynamics across levels within climate adaptation regimes. The tool is adapted from the Stakeholder Influence-Mapping tool (2005) of the International Institute for Environment and Development (IIED). MSIM is a simple visual tool to examine and display the relative power/influence that different individuals and groups have over a focal issue—in this case, climate change adaptation of smallholder farmers.
Using Nepal as a case, this paper illustrates how farmers and their supporting institutions are evolving and co-producing climate sensitive technologies on demand. Drawing upon the hypothesis of induced innovation, the authors examine the extent to which resource endowments have influenced the evolution of technological and institutional innovations in Nepal’s agricultural research and development. This study reveals that Nepal has developed a novel multilevel institutional partnership, including collaboration with farmers and other non-governmental organizations in recent years.
From October 2006 through September 2008, Winrock International and partners International Development Enterprises and the Institute for Governance and Development implemented the Conflict Reconciliation and Reduction in Nepal (CRRN) program. The program aimed to reduce conflict in Nepal by improving governance and generating equitable economic opportunities.
The Feed the Future Asia Innovative Farmers Activity (AIFA) is a regional project transforming the lives of farmers by developing and supporting a regional technology ecosystem that fosters new technology, partnerships, and innovative practices in South and Southeast Asia with a focus on Bangladesh, Cambodia, and Nepal. The project aims to build a diverse regional agricultural innovation community that can test, adapt, and share the latest practices and technologies with smallholder farmers in the region.
This bcrochure describes the programme ""APRACA: Enhancing access of poor rural people to sustainable financial services through policy dialogue, capacity-building and knowledge-sharing in rural finance" that aimed to: enhanced the capacity of regional financial institutions in valuechain and renewableenergy financing, riskmanagement strategies, and microfinance for agriculture.
This paper has been prepared from a transcript of a presentation at the Crawford Fund 2017. This talk is a synthesis of some of the emerging issues we are seeing in the digital revolution, and how we can overcome the barriers to digitalised agricultural systems in the developing world
This analysis evaluates a real world complex intervention to study the impacts of an agricultural value chain development program on livelihood outcomes, in hill and mountainous regions of Nepal. The intervention was not designed for the study and no baseline data existed to compare the final outcomes. Data came from a carefully designed household survey administered to 3,028 households (50% beneficiaries and other 50% non-beneficiaries) across seven districts in Western Nepal.