Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The main objective of this study is to ascertain the socio-economic determinants of income poverty in rural areas of Ethiopia. A Simple random sampling was used to select 217 household heads from two rural areas Dodola district, Oromia Regional State, in a year 2012. The Binary logistic method was used to find out the determinants of income poverty. The result reveals that determinants of income poverty include household size, number of income sources of the household, livestock and farm land ownership. Poverty status is negatively associated with number of income sources of the household, livestock and farm land ownership. However, family size is positively related to poverty. Finally the study suggests the rural households should diversify their income sources. The households should also be effectively involved in family planning.
Muhdin Muhammedhussen. 2016. \u201cDeterminants of Rural Income Poverty in Ethiopia: Case Study of Villages in Dodola District\u201d. Global Journal of Management and Business Research - B: Economic & Commerce GJMBR-B Volume 15 (GJMBR Volume 15 Issue B11): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
The methods for personal identification and authentication are no exception.
Total Score: 71
Country: Ethiopia
Subject: Global Journal of Management and Business Research - B: Economic & Commerce
Authors: Muhdin Muhammedhussen (PhD/Dr. count: 0)
View Count (all-time): 114
Total Views (Real + Logic): 3829
Total Downloads (simulated): 2003
Publish Date: 2016 01, Mon
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The main objective of this study is to ascertain the socio-economic determinants of income poverty in rural areas of Ethiopia. A Simple random sampling was used to select 217 household heads from two rural areas Dodola district, Oromia Regional State, in a year 2012. The Binary logistic method was used to find out the determinants of income poverty. The result reveals that determinants of income poverty include household size, number of income sources of the household, livestock and farm land ownership. Poverty status is negatively associated with number of income sources of the household, livestock and farm land ownership. However, family size is positively related to poverty. Finally the study suggests the rural households should diversify their income sources. The households should also be effectively involved in family planning.
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