Browsing by Author "Mutabazi, K"

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Adoption of a new maize and production efficiency in western Kenya
(2010-09) Mignouna, D.B; Mutabazi, K; Senkondo, E.M; Manyong, V.M
Declining yields of maize as a result of Striga infestation has necessitated a new technology known as Imazapyr-resistant maize (IRM) to contain the problem. As a result, research and development initiatives with substantial participation of the private sector to transfer this new technology to farmers have been made in western Kenya. This study therefore assesses the adoption of IRM variety and efficiency levels of farmers in western Kenya. A multi-stage sampling technique was used to select a total of 600 households from Nyanza and Western provinces for this study. Tobit model and stochastic production frontier analysis were the analytical methods. Results show that age, education, maize production gap, risk, contact with extension agents, lack of seeds, membership in social group, effective pathway for IRM dissemination and compatibility of the technology are the variables that were found to be significant (P<0.05) in shaping the decisions of households on whether to adopt or not. The study reveals that the mean technical efficiency of maize production of sampled farmers is 70% indicating some inefficiencies of maize production in western Kenya. Also, adoption of IRM significantly increased frontier maize output (P<0.01); household size decreased inefficiency along with farm size. It was recommended that efforts to increase adoption of IRM for enhanced farm efficiency should focus on farmers’ education, farming experience and access to information and farm basic inputs
Influence of farmer’s exposure to development actors on Intensity of agricultural technologies use in areas with Commercial farms
(2022) Maro, F; Mutabazi, K
The paper analysed the effect of farmer’s exposure on different channels in particular establishment of foreign agricultural investments (FAI) farms that are seen as influential in promoting agricultural technology use among neighbouring farmers. Based on proportionate random sampling strategy in areas with both foreign and domestic commercial farms, the effects of farmer characteristics and different exposure channels for promoting and learning agricultural technologies were fitted and estimated in the general Poisson model. Results show that farmer’s age, mobile phones ownership, household poverty, self learning by doing, learning from neighbours, domestic investors, Non-Governmental Organizations (NGOs), National Agricultural Research and Extension Services (NARES) and farmer’s location significantly influence agricultural technologies use among farmers living near commercial farms. But age and household poverty were inverse related to the intensity of farmer’s agricultural technology use. It implies that old age and poverty negatively affect use of agricultural technologies while exposure to FAI is not effective channel for farmer to use agriculture technologies in areas with commercial farms. It was concluded that presence of FAI farms without formal and informal interactions with neighboring farmers does not influence the use of agricultural technologies among farmers, therefore a mere presence of FAI farms should be considered as private investment and not necessarily as a means for promoting agricultural technology use to neighboring farmers. A selective strategy should be considered to use FAI farms as means of promoting use of agricultural technologies among neighboring smallholder farmers based on crop similarity, location endowments, socio-economic characteristics of farmers, extension services availability and technologies used by FAI farms.