IJSRP, Volume 7, Issue 3, March 2017 Edition [ISSN 2250-3153]
Mohammed Beshir Mohammed
Abstract:
This study used survey data collected by Southern nations, nationalities and peoples’ region (SNNPR) bureau of finance and economic development (BoFED) in collaboration with Arba Minch University for 5,015 urban households. The major purposes of the paper are measuring urban poverty and identifying the determinants via employing logistic regression. Accordingly, for the year 2015 poverty incidence, gap and severity were equal to 18.02%, 5.25% and 2.31% respectively for the urban SNNPR. Urban food poverty measured using the above indexes leaves relatively larger figures. In the last five years the region’s urban poverty reduces remarkably except for food poverty severity which rose by 17.24%. The use of logistic regression to identify the determinants of urban poverty end up with marital status, family size, total dependency, education level, saving habit, and source of energy were found to be statistically significant variables. Hence, pre and post marriage orientations to reduce divorce and input support for windowed, limiting family size and in turn dependency using short and long term solutions, and supplying social and physical infrastructure such as education, financial institutions and power are viable options to reduce urban poverty in the region. The urgency of tackling urban poverty in the region should start from Wolaita and South Omo zones (districts) since both of them are characterized by higher incidence, gap and severity of poverty.