Determinants of Risk and Uncertainty in Oil Palm Nursery

dc.contributor.authorIkudayisi, A. A
dc.contributor.authorBabatunde, A. A.
dc.contributor.authorYusuf, S. A
dc.date.accessioned2025-04-25T09:41:58Z
dc.date.issued2019
dc.description.abstractThis paper investigates the distributional effect of income among rural farm households in Nigeria.A quantile regression approach was applied on cross-section data from a nationally representative data. Ordinary least square was also used for comparison purposes. Results show that household size, asset ownership, farm size, extension services and access to credit were the most important factors explaining income distribution across quantiles but with varying magnitude.Additionally, across methods of estimation, assets ownership, farm size, extension service and household size were consistent variables that influenced farm household income. We found that factors that determines income distribution among farm households was different suggesting covariates are not constant across quantiles. This paper puts forward relevant policy options suitable for improved household livelihood
dc.identifier.citationJournal of Agriculture and Veterinary Science (IOSR-JAVS) Volume 12, Issue 1 Ver. I (January 2019), PP 52-58
dc.identifier.issn23192380
dc.identifier.urihttps://repository.ui.edu.ng/handle/123456789/9768
dc.language.isoen
dc.subjectFarm household
dc.subjectincome
dc.subjectNigeria
dc.subjectquantile regression
dc.subjectrural
dc.titleDeterminants of Risk and Uncertainty in Oil Palm Nursery
dc.typeArticle

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