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Analysis of Poverty in Ekiti State

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Analysis of Poverty in Ekiti State
ABSTRACT

This study examined the socioeconomic characteristics of household in Ekiti State Nigeria, it identified and measured the relative importance of factors affecting poverty in both the rural and urban area of the state. The study also looked at the poverty profile in the area. Data collected from 432 heads of households through a random sampling technique from Ekiti Central, Ekiti North and Ekiti South were analysed using Foster, Greer and Thorbecke (FGT) indices, Gini coefficient index (GI), and ordinary least square (OLS). Result shows that for the urban part of Ekiti State, the poverty headcount ([P.sub.o]) indicates that 48%, 71% and 62% share of the population are poor in Ekiti Central, Ekiti North and Ekiti South while for the rural area it was 61%, 55% and 67% in that order respectively. The Gini coefficient shows that there is high welfare inequality in both Ekiti Central and Ekiti North as the Gini coefficient was 0.57 and 0.63 respectively. However welfare inequality was low in Ekiti South as the Gini coefficient was 0.31. Result of the ordinary least square identified some of the factors affecting poverty in Ekiti State Nigeria. The value of [R.sup.2] for rural area are 0.75, 0.61 and 0.53 for Ekiti Central, Ekiti North and Ekiti South respectively, while for urban it is 0.68, 0.57 and 0.51 in that order. The value of the regression sum of square shows that the model accounts for most of variation in the welfare status in the Ekiti for the period. Other dagonistic tests show that some of the estimates are statistically significant. Out of poverty determinant factors fitted in the model education and household size stand as the most important determinant of poverty in Ekiti State Nigeria.

Keywords: Poverty Analysis, Household, Poverty Line, Welfare Inequality Poverty Determinant

1. INTRODUCTION

Poverty is a complex human phenomenon associated with unacceptably low standard of living. It has multiple dimensions, manifestations and causes



References: Aigbokhan B.E., Poverty, Growth and Inequality in Nigeria: A case study. Final Report submitted to the African Economic Research Consortium Nairobi Kenya, 1998. Federal Office of Statistics, Poverty Profile for Nigeria 1980-1996, FOS Abuja, 1999. Foster J, Greer, J. and Thorbecke, E., "A class of Decomposable Poverty Measures", Econometrical Vol 52 (3), 1984, 761-765. Kamgnia B.D. and J. Timmou, Poverty in Cameroon: Evolution in an Economic Adjustment Environment, Final Report submitted to the African Economic Research Consortium, Nairobi, Kenya, 1999. Mwabu, G. Masai, W., Gesami, R., Kirimi, J., Ndenge, G., Kiriti, T., Mainora, J. and Munene, F., Poverty in Kenya: Profiles and Determinants. Department of Economics, University of Nairobi and Ministry of Finance and Planning, Mimeo, 2000. National Bureau of Statistics, Poverty Profile for Nigeria. NBS Abuja, 2005. Nwabu, G., Kimenyi, M.S, Kimalu, P., Nafula, N and Manda, D.K. "Predicting Household Poverty: A Methodological Note with a Kenyan example", African Development Review, Vol. 15, (10), 2003, 61-83. Oiro, W.M., Mwabu, G., and Manda, D.K., Poverty and Employment in Kenya, KIPPRA Discussion Paper No. 33, Nairobi: Kenya Institute for Public Research and Analysis, 2004. Okogie C, Ogwumike F.O., Anyanwu C and Alayande, B.A, Poverty in Nigeria: Gender, Dimension, Access to Social Services and Labour Market Issues, Interim report submitted to the African Economic Research Consortium, Nairobi, 1999. Okumadewa F., Overview of the Measurement of Poverty, Paper presented at the Graduate Studies Capacity Building Programme Training Workshop Ibadan, 1999. Taddesse M.B, Kebede and A. Shimeles, Economic Reform, Growth and Poverty in Ethiopia: Evidence from Household Panel Surveys, Final Report submitted to the African Economic Research Consortium, Nairobi, 1999. World Bank, Nigeria Poverty in the Midst of Plenty: The Challenge of Growth with Inclusion. A World Bank Assessment Study Report No. 14733-UNI, The World Bank, 1999. Ravallion, M., Poor Areas World Bank, Mimeo, 1996. Soludo, C.C., Can Nigeria be the China of Africa? Being a Lecture Delivered at the Founders ' Day of the University of Benin, Benin City, Nigeria, 2006. World Bank, African Development Indicators 2000, Washington DC; World Bank, 2000. World Bank (2001): World Development Report 2000-2001, Oxford University Press, Oxford, 2001. [SD.sub.n-1] 58.48 6.94 49.06 6.41 48.19 7.28 Source: Computed from data obtained from Field Survey, 2006. Source: Computed from data obtained from Field Survey, 2006 TABLE 3: DISTRIBUTION OF RESPONDENT BY MONTHLY INCOME

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