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dc.creatorILRI, International Livestock Research Instituteen_US
dc.identifier.citationInternational Livestock Research Institute ILRI. (6/11/2012). Report of the seventh meeting of the imGoats Inhassoro innovation platform, Maimelane, Mozambique, 6 November 2012. Nairobi, Kenya: International Livestock Research Institute (ILRI).en_US
dc.description.abstractThe goal of the “Small ruminant value chains as platforms for reducing poverty and increasing food security in dryland areas of India and Mozambique (imGoats)” project is to increase incomes and food security in a sustainable manner by enhancing pro-poor small ruminant value chains in India and Mozambique. The project proposes to transform goat production and marketing from the current ad hoc, risky, informal activity to a sound and profitable enterprise and model that taps into a growing market, largely controlled by and benefiting women and other disadvantaged and vulnerable groups; while preserving the natural resource base. The specific objectives of the project are to: (a) pilot sustainable and replicable organizational and technical models to strengthen goat value chains in India and Mozambique that increase incomes, reduce vulnerability and enhance welfare amongst marginalized groups, including women; and (b) document, communicate and promote appropriate evidence-based model(s) for sustainable, propoor goat value chains. In addition to goat keepers, beneficiaries will include other goat value chain actors, including smallscale traders, input and service providers. The project is following innovation systems approaches within a value chain framework. The value chain models will be implemented through the two mechanisms of innovation platforms and producer hubs, which will be comprised of multiple and diverse stakeholders. Innovation platforms (IPs) provide spaces for value chain actors to interact, communicate and act to improve performance of the value chain and with the resulting benefits to the actors. They will also be the mechanism to stimulate joint action to test feasible technical, organizational and institutional interventions for improving the productivity of goats, their marketing and associated service delivery. Using an appropriate and focused Monitoring and Evaluation framework, the project will document the participatory approaches used, processes followed, outcomes generated and lessons learned to generate research evidence towards the development of goat value chain models that benefit the poor. Lessons learned and opportunities for scaling up and out will be communicated to policymakers and development practitioners. The project is being implemented by CARE in Mozambique, while the overall leadership and coordination of the project is done by the International Livestock Research Institute (ILRI). This report provides an account of the seventh meeting of the imGoats Innovation Platform (IP) held on 6th of November in Maimelane, Inhassoro district of Mozambique, facilitated by CARE and the IP secretariat. To monitor innovation processes, it is important to capture the IP meetings as well as the process between the meetings: these activities have therefore been included in section 2. Section 3 focuses on the preparation and the process of the IP secretariat. Section 4 continues with the IP meeting process. The report is concluded with a few lessons learned for designing and facilitating future meetings (section 5).en_US
dc.publisherInternational Livestock Research Institute (ILRI)en_US
dc.subjectinnovation systemen_US
dc.titleReport of the seventh meeting of the imGoats Inhassoro innovation platform, Maimelane, Mozambique, 6 November 2012en_US
dc.typeInternal Reporten_US
cg.subject.agrovocvalue chainsen_US
cg.contributor.centerInternational Livestock Research Institute - ILRIen_US
cg.contributor.crpCRP on Dryland Systems - DSen_US
cg.contributor.funderCGIAR System Organization - CGIARen_US
cg.coverage.regionEastern Africaen_US
dc.identifier.statusTimeless limited accessen_US
mel.sub-typeCourse Program / Agendaen_US
mel.sub-typeList of Participantsen_US

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