Scholarly works in Agricultural Economics

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Subject: search.filters.subject.Poverty

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Now showing 1 - 4 of 4
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    Rural households’ access to microcredit and poverty status in Obafemi- Owode Local Government Area of Ogun State, Nigeria
    (University of Ibadan,, 2008) Adepoju, A. O.; Oluoha, K.
    This study examined the effect of access to micro-cred it on poverty status of rural households in Obafemi -Owode LGA in Ogun state, employing data collected from 94 randomly selected households in the study area. Data were analysed with the aid of FGT poverty index and the Logit regression model. The results of descriptive analysis reveal that majority of the poor households in the study area were large sized, male headed with no formal education and no access to credit. The head count poverty index also reveals that about 35 percent of households in the study area were poor, subsisting below the poverty line of 6,279.33 naira per capital per month. The econometric analysis shows that age, house hold size, secondary and tertiary education of household head, access to credit and sector of primary occupation of the household head were the significant factors that determine poverty status in the study area. The study concludes that poverty reduction in the rural areas requires effective t a r get in g with educational programmes a n d most importantly, availability and accessibility of rural households to credit facilities in order to improve their income earning opportunities thereby enhancing their welfare.
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    Spatial Decomposition of Poverty in Rural Nigeria: Shapley Decomposition Approach
    (IISTE, 2014) Obayelu, O. A.
    Poverty is largely a rural phenomenon in sub-Saharan Africa. The contribution of mean income and inequality to spatial variations in rural poverty were investigated in this study using the 2003/04 National Living Standard Survey by the National Bureau of Statistics (NBS). The data were analyzed using descriptive statistics and Shapley Decomposition (SD) techniques. Results showed that across the GPZs, the contribution of mean income to poverty was higher than inequality (Ly) for both P0 and P1.The contribution of mean income to severity of poverty (P2) was higher than Ly in North-East (µ = -0.0530; Ly = -0.0334); North-West (µ = -0.0844; Ly =0.0429); South-East (µ = 0.0505; Ly = 0.0136); South-South (µ=0.0254; Ly=0.0048); South-West (µ = 0.0450; Ly = 0.0201). However, inequality contributed more than mean income in North-Central (µ = -0.0184; Ly = 0.0240). The marginal contribution of within-GPZs inequality to poverty indices were higher than betweenGPZs inequality.
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    Spatial dimension of poverty in rural Nigeria
    (AcademicJournals, 2010) Obayelu. O. A.; Awoyemi, T. T.
    Poverty is a rural phenomenon in Nigeria. This study investigated poverty profile across geopolitical zones in rural Nigeria, using the 2003/2004 NLSS data. The result of FGT poverty decomposition shows that majority of the poor (84%) live in the rural area. Northwest zone had the highest relative contribution to incidence and depth of national rural poverty (29 and 30% respectively) while Southwest had the least relative contribution (4 and 3% respectively). Although North-central had the highest level of severity of rural poverty (P2 = 0.1454), North-west accounted for the highest relative contribution (30%) to national rural poverty.
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    Poverty and Vulnerability in Rural South-West Nigeria
    (ARPN, 2012) Adepoju. A.O.; Yusuf, S. A.
    The near failure of various programmes and strategies by successive governments in Nigeria has been linked to the improper diagnosis of poverty as a static concept. There are growing concerns that poverty is not reducing due to the lack of understanding of its dynamic nature and vulnerability to poverty. This study investigates poverty and vulnerability to poverty in rural South-West Nigeria (SWN). Primary data were collected from 582 rural households in a two-wave panel survey (harvesting and lean periods) employing a multi-stage sampling technique. Data were analyzed using; Foster, Greer and Thorbecke (FGT) poverty measure; 3-Stage Feasible Generalized Least Squares (3FGLS); Tobit and Probit regression methods. Poverty lines of N3313.57 and N4093.21 were estimated for the two periods, respectively. Based on these, the incidence of poverty was 35.0% and 43.6% for the first and second periods. At the standard vulnerability threshold of 0.5, 55.7% of rural households in SWN were vulnerable to poverty. A unit increase in household size and dependency ratio aggravated vulnerability by 0.05 and 1.28, while attainment of secondary and tertiary education reduced vulnerability by 0.14 and 0.23, respectively (P<0.01). Vulnerability also translated into significantly (P<0.01) higher poverty by increasing the ex-post probability of becoming poor by 0.34. However, there were some factors related with vulnerability but not poverty and some related to poverty but not vulnerability. The study therefore suggests that poverty alleviation programs must focus not only on those factors which aggravate poverty but also vulnerability, in order to employ several specialized approaches to tackle these multifarious problems.