Ex-ante evaluation of cassava research for development in Malawi: a farm household and random utility modeling approach

dc.creatorRusike, Joseph
dc.creatorJumbo, S.
dc.creatorNtawuruhunga, Pheneas
dc.creatorKawonga, J.M.
dc.creatorJames, B.
dc.creatorOkechukwu, R.U.
dc.creatorManyong, Victor M.
dc.date2010
dc.date2018-01-25T13:34:32Z
dc.date2018-01-25T13:34:32Z
dc.date.accessioned2026-06-27T16:06:15Z
dc.descriptionEx ante evaluation of agricultural research for development projects has become important in recent years for priority setting, ex post impact assessment and learning about generalizability to other populations and contexts. We apply farm household and random utility modeling to baseline survey data and evaluate the impact of a cassava research for development project in Malawi prior to its implementation. The project is being implemented to unlock the potential of cassava in response to the global food crisis. We find that a high proportion of farm households are not self-sufficient in food production and can be assisted by increasing the productivity of land and labor in production, processing and marketing of cassava to reduce deficits and increase marketed surplus. The research for development embeds research in an innovation systems network and speeds up exposure, awareness, adoption and diffusion. This increases the likelihood that incremental benefits will be generated and accrue earlier compared to the counterfactual without the project.
dc.identifierhttps://hdl.handle.net/10568/90579
dc.identifier.urihttp://hdl.handle.net/123456789/122623
dc.languageen
dc.publisherAfrican Association of Agricultural Economists
dc.rightsLimited Access
dc.sourceRusike, J., Jumbo, S., Ntawuruhunga, P., Kawonga, J.M., James, B., Okechukwu, R. & Manyong, V.M. (2010). Ex-ante evaluation of cassava research for development in Malawi: a farm household and random utility modeling approach. In proceedings of the 3rd African Association of Agricultural Economics (AAAE) and Agricultural Economics Association of South Africa (AEASA) conference, (p. 1-32), 19-23 September, Cape Town.
dc.subjectcassava
dc.subjectagricultural research
dc.subjectimpact assessment
dc.subjectfood security
dc.subjectmalawi
dc.subjectfood policy
dc.titleEx-ante evaluation of cassava research for development in Malawi: a farm household and random utility modeling approach
dc.typeConference Paper

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