Determinants of adopting Imazapyr-resistant maize technologies and its Impact of household Income in Western Kenya
dc.contributor.author | Mignouna, D.B. | |
dc.contributor.author | Manyong, V.M. | |
dc.contributor.author | Rusike, J. | |
dc.contributor.author | Mutabazi, K.D.S | |
dc.contributor.author | Senkondo, E.M. | |
dc.date.accessioned | 2022-05-18T08:50:29Z | |
dc.date.available | 2022-05-18T08:50:29Z | |
dc.date.issued | 2011-01 | |
dc.description | Journal article : AgBioForum, 14(3): 158-163. | en_US |
dc.description.abstract | This study identifies the adoption determinants and causal impact of adoption of imazapyr-resistant maize (IRM) on income and poverty among maize farming households using a logistic model and Heckman selection-correction model. Results from a randomly selected sample of 600 households consisting of 169 adopters and 431 non-adopters reveal that combined specific household, farm, institutional, and technological factors influ- ence the probability of adoption of the technology. The results also showed that adoption of IRM raises farm household income even after controlling for observable and unobservable house- hold characteristics. Conclusions drawn from this study are that the use of IRM for Striga control is a reasonable policy instru- ment to raise small-farm income and reduce poverty among maize farming households. | en_US |
dc.identifier.uri | https://www.suaire.sua.ac.tz/handle/123456789/4155 | |
dc.language.iso | en | en_US |
dc.publisher | AgBioForum, | en_US |
dc.subject | IRM technology, | en_US |
dc.subject | determinants, | en_US |
dc.subject | adoption | en_US |
dc.subject | impact | en_US |
dc.subject | Kenya | en_US |
dc.title | Determinants of adopting Imazapyr-resistant maize technologies and its Impact of household Income in Western Kenya | en_US |
dc.type | Article | en_US |