Ex -ante agricultural research evaluation with site specific technology generation: the case of sorghum in Kenya
| dc.creator | Mills, Bradford F. | |
| dc.date | 2017-04-01T18:48:30Z | |
| dc.date.accessioned | 2026-07-09T08:10:05Z | |
| dc.description | Agricultural commodity research has very site-specific productivity impacts. Crucial determinants of the magnitude and distribution of research benefits include agroecological conditions for technology generation and adoption, as well as commodity market-structure. This paper presents a process for ex-ante research evaluation which accounts for these factors with a dynamic, spatial multi-market model. Simulation results based on sorghum research in Kenya demonstrate that potential research benefits can vary dramatically across program research target zones. In Kenya, however, population-induced demand growth not technological development will have the greatest influence on future sorghum markets. © 1997 Elsevier Science B.V. | |
| dc.identifier | doi:10.22004/ag.econ.174059 | |
| dc.identifier | https://ageconsearch.umn.edu/record/174059/files/agec1997v016i002a004.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/174059 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/596259 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/174059 | |
| dc.title | Ex -ante agricultural research evaluation with site specific technology generation: the case of sorghum in Kenya | |
| dc.type | Text |