2018
DOI: 10.17306/j.jard.2018.00422
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Human Capital and Income Diversification Among Crop Farmers in Rural Oyo State, Nigeria

Abstract: This study focused on analyzing the effects of human capital on income diversification among crop farmers in rural Oyo State, Nigeria. The result presented was based on primary data collected from a random sample of 120 households selected from two agricultural zones of Oyo State, Nigeria. Descriptive statistics, Poisson regression and Tobit regression were employed as analytical techniques. Both the Poisson and Tobit regression methods were respectively used to examine the determinants of income diversificati… Show more

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Cited by 12 publications
(8 citation statements)
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“…This implies that the level of education among the farmers was generally low, in line with findings of Omotoso et al. (2020) , Omotayo and Oyekale (2013) ; Omotayo (2016b) ; Daud et al. (2017) , and Nkonki-Mandleni et al.…”
Section: Data and Descriptive Statisticssupporting
confidence: 85%
“…This implies that the level of education among the farmers was generally low, in line with findings of Omotoso et al. (2020) , Omotayo and Oyekale (2013) ; Omotayo (2016b) ; Daud et al. (2017) , and Nkonki-Mandleni et al.…”
Section: Data and Descriptive Statisticssupporting
confidence: 85%
“…Moreover, the dependence of food security on socio-economic factors affecting access and affordability of food implies that correlates of food security are likely to be found at household and individual levels (Wineman 2016). Differing socio-economic statuses and uneven livelihood resource endowment of various households have implications for their strength, risk exposure and capability to prevent, mitigate or cope with risks for positive livelihood outcomes among which is improved food security (Krantz 2001;Awotide et al 2011;Bashir et al 2018a, b;Daud et al 2018;Ganiyu and Omotayo 2016;Ogunniyi et al 2020). On this basis, the study sought answers to pertinent questions such as: what is the food security status of the smallholder maize farming households?…”
Section: Introductionmentioning
confidence: 99%
“…Following the works of Minot et al (2006), Sultana et al (2015), Amurtiya et al (2016), Wan et al (2016) and Daud et al (2018), the approach used in this study focussed on several statistical measures of income diversification. We established six main sources of income-generating activities as follows: (1) crop and livestock (farm) production, (2) home or community-based non-farm enterprises, 3wage-based income activities through undertaking selling one's labour time on work activities outside the household, (4) property-based rental income such as those derived from renting rooms of the household property, (5) remittances from various social networks, and (6) other sources.…”
Section: Concepts Dealing With the Statistical Analysis Of Income DIVmentioning
confidence: 99%