Agricultural Economics
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Item 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.Item 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.Item 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.Item Households’ vulnerability to poverty in ibadan metropolis, oyo state, nigeria(2010) Adepoju, A. O.; Okunmadewa, F.Y.This paper empirically assessed vulnerability to poverty at the household level using a two-period panel data set obtained from 150 households sampled from two local government areas within Ibadan Metropolis. Data were analysed using descriptive statistics, poverty indices and probit regression analysis. Analysis of the socio-economic characteristics and their relationship with vulnerability to poverty revealed that large-sized households headed by men who were old, widowed, self-employed, uneducated or who had only primary school education and no access to any form of credit, were more vulnerable than other households. The estimated probit regression model showed that marital status and tertiary education status of respondents reduced vulnerability to poverty while primary education status and household size enhanced households vulnerability to poverty.