Ex-ante evaluation of cassava research for development in Malawi: a farm household and random utility modeling approach
Ex 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 dat...
| Main Authors: | , , , , , , |
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| Format: | Conference Paper |
| Language: | Inglés |
| Published: |
African Association of Agricultural Economists
2010
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/90579 |
| _version_ | 1855538354275221504 |
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| author | Rusike, Joseph Jumbo, S. Ntawuruhunga, Pheneas Kawonga, J.M. James, B. Okechukwu, R.U. Manyong, Victor M. |
| author_browse | James, B. Jumbo, S. Kawonga, J.M. Manyong, Victor M. Ntawuruhunga, Pheneas Okechukwu, R.U. Rusike, Joseph |
| author_facet | Rusike, Joseph Jumbo, S. Ntawuruhunga, Pheneas Kawonga, J.M. James, B. Okechukwu, R.U. Manyong, Victor M. |
| author_sort | Rusike, Joseph |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Ex 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. |
| format | Conference Paper |
| id | CGSpace90579 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2010 |
| publishDateRange | 2010 |
| publishDateSort | 2010 |
| publisher | African Association of Agricultural Economists |
| publisherStr | African Association of Agricultural Economists |
| record_format | dspace |
| spelling | CGSpace905792023-02-15T06:38:48Z Ex-ante evaluation of cassava research for development in Malawi: a farm household and random utility modeling approach Rusike, Joseph Jumbo, S. Ntawuruhunga, Pheneas Kawonga, J.M. James, B. Okechukwu, R.U. Manyong, Victor M. cassava agricultural research impact assessment food security malawi food policy Ex 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. 2010 2018-01-25T13:34:32Z 2018-01-25T13:34:32Z Conference Paper https://hdl.handle.net/10568/90579 en Limited Access African Association of Agricultural Economists Rusike, 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. |
| spellingShingle | cassava agricultural research impact assessment food security malawi food policy Rusike, Joseph Jumbo, S. Ntawuruhunga, Pheneas Kawonga, J.M. James, B. Okechukwu, R.U. Manyong, Victor M. Ex-ante evaluation of cassava research for development in Malawi: a farm household and random utility modeling approach |
| title | Ex-ante evaluation of cassava research for development in Malawi: a farm household and random utility modeling approach |
| title_full | Ex-ante evaluation of cassava research for development in Malawi: a farm household and random utility modeling approach |
| title_fullStr | Ex-ante evaluation of cassava research for development in Malawi: a farm household and random utility modeling approach |
| title_full_unstemmed | Ex-ante evaluation of cassava research for development in Malawi: a farm household and random utility modeling approach |
| title_short | Ex-ante evaluation of cassava research for development in Malawi: a farm household and random utility modeling approach |
| title_sort | ex ante evaluation of cassava research for development in malawi a farm household and random utility modeling approach |
| topic | cassava agricultural research impact assessment food security malawi food policy |
| url | https://hdl.handle.net/10568/90579 |
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