Determinants of Adopting Imazapyr-Resistant Maize Technologies and its Impact on Household Income in Western Kenya
No Thumbnail Available
Meeting name
Sponsors
Date
Journal Title
Format
Article
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 influence 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 household characteristics. Conclusions drawn from this study are that the use of IRM for Striga control is a reasonable policy instrument to raise small-farm income and reduce poverty among maize farming households.
Table of Contents
DOI
PubMed ID
Degree
Thesis Department
Rights
OpenAccess.
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.