Influence of farmer’s exposure to development actors on Intensity of agricultural technologies use in areas with Commercial farms

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dc.contributor.authorMaro, F
dc.contributor.authorMutabazi, K
dc.date.accessioned2022-08-26T11:49:18Z
dc.date.available2022-08-26T11:49:18Z
dc.date.issued2022
dc.descriptionJournal Articleen_US
dc.description.abstractThe 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.en_US
dc.identifier.urihttp://www.suaire.sua.ac.tz/handle/123456789/4485
dc.language.isoenen_US
dc.subjectGeneralized Poissonen_US
dc.subjectfarmersen_US
dc.subjectagricultural technology and commercial farmsen_US
dc.titleInfluence of farmer’s exposure to development actors on Intensity of agricultural technologies use in areas with Commercial farmsen_US
dc.typeArticleen_US

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