Presented at the ‘Building Livelihoods Resilience in a Changing Climate’ conference, Kuala Lumpur, 3-5th March 2011, this paper focuses on the Local Adaptive Capacity framework (LAC), developed under the Africa Climate Change Alliance Project (ACCRA), as an innovative initiative that attempts to move towards a better understanding of its core features through isolating five characteristics of adaptive capacity. Demonstrated through findings from field research across three African countries (Ethiopia, Mozambique and Uganda), this paper argues that frameworks for understanding and supporting
This report is concerned with the ‘who?’ ‘what?’ and ‘how?’ of pro-poor extension. It builds on the analytical framework proposed in the Inception Report of the same study (Christoplos, Farrington and Kidd, 2001), taking it forward by fleshing out the analysis with empirical information gathered from several countries during the course of the study (from primary data in Bolivia, Colombia, Nicaragua, Uganda and Vietnam, and from secondary sources in a range of other countries, including India), and drawing conclusions on the scope for action by governments and donors in a range of contexts.
This paper explores the use of actor-oriented approaches in natural resource-based development. It begins by reviewing the need to bring an analysis of actor linkages, coalitions and information flows higher on the agenda in planning, implementation, monitoring and evaluation. Various tools which could assist in doing this are introduced and their use is illustrated in case studies of natural resource-based research and development (R&D) projects in Nepal and Bangladesh.
The paper explores the implications of rural livelihood diversity for agricultural innovation policies. It summarises literature on the nature of rural poverty, with particular emphasis on the relative roles of farm and non-farm income. It also reviews the various roles, direct and indirect, that agricultural innovation can play in rural poverty reduction. Finally, it uses an agricultural knowledge and information systems (AKIS) perspective to argue for a differentiated approach to targeting agricultural innovations, based on an analysis of rural assets.
This paper discusses a range of approaches and benchmarks that can guide future design of value chain impact evaluations. Twenty studies were reviewed to understand the status and direction of value chain impact evaluations. A majority of the studies focus on evaluating the impact of only a few interventions, at several levels within the value chains. Few impact evaluations are based on well-constructed, well-conceived comparison groups. Most of them rely on use of propensity score matching to construct counterfactual groups and estimate treatment effects.
This learning module on Applying innovation system concept in agricultural research for development has been prepared to serve as a tool in achieving the objective of strengthening the capacity of project staff and other researchers and actors who are believed to have a key role to play in ushering in market-led agricultural transformation. This includes national, regional, international and private sector agricultural researchers, university lecturers, and others engaged in biophysical as well as social science research.
Between 2012 and 2016, in collaboration with research and development partners, ILRI undertook specific action research and capacity development interventions to address identified challenges and generate evidence for wider applicability along the pig value chain. The work was funded by three major bilateral donors, the European Commission/International Fund for Agricultural Development (EC/IFAD) and Irish Aid.
The CGIAR research program on livestock and fish aims to sustainably increase the productivity of small-scale livestock and fish systems so as to increase the availability and affordability of meat, milk and fish for poor consumers across the developing world. The purpose of this document is to lay out a Monitoring, Evaluation and Learning (MEL) Framework for the program. The Framework provides a concise narrative of why the M&E system is important, how it operates, what kinds of data it will collect and who is responsible for data collection and analysis.
The gender capacity assessment in Ethiopia, which took place in December 2016, analysed the current gender capacities against desired future gender capacities of the African Chicken Genetic Gains (ACGG) partners. It measured six core gender capacities at organizational and at individual (staff) levels of all six engaged national and regional research institutes. These capacities are assessed in relation to the environmental (contextual) level; the institutional and policy environment that enables or disables the other capacities.
Following the remarkable success of performance testing in the commercial sector, the Agricultural Research Council's Animal Improvement Institute (ARC–AII) initiated a beef cattle performance testing scheme for smallholder farmers in 1996. The scheme, which became known as Kaonafatsho ya Dikgomo (Sotho for animal improvement), has been running well in the Northern and North West Provinces and is set to spread gradually to the rest of the country.