Assessing Determinant Factors of Income Diversification among Rural Farm Households in Ethiopia: The Case of Leemo and Anileemo Districts, Hadiya Zone, South Nation Nationalities People Region
Journal: International Journal of Science and Research (IJSR) (Vol.5, No. 12)Publication Date: 2016-12-05
Authors : Yisihake Ergicho Aababbo; Abebe Markos Sawore;
Page : 100-110
Keywords : Determinants; Income diversification; off-farm; farm; Logit; Leemo and AniLeemo districts;
Abstract
ASSESSING DETERMINANT FACTORS OF INCOME DIVERSIFICATION AMONG RURAL FARM HOUSEHOLDS IN ETHIOPIA THE CASE OF LEEMO AND ANILEEMO DISTRICTS, HADIYA ZONE, SOUTH NATION NATIONALITIES PEOPLE REGION. College of Business and Economics, Department of Economics, Wachemo University Hossana, Ethiopia Yisihake Ergicho Aababbo, Mobile 09-10-10-49-57, Email yise_2004@yahoo. com Abebe Markos Sawore, Mobile 09-31-97- 72-76, Email sawore2008@gmail. com This study critically examine the determinants of income diversification and main income diversification sources among rural households in Leemo and AniLeemo Districts, Hadiya Zone of South Nation Nationality Regional State using primary data. Structured questionnaires administered through personal interviews. Both descriptive statistics and econometric methods were used to analyses the data. Descriptive result revealed that lion share income is obtained from farming activities. In this study we identified that rural farm households income was basically grouped in to farm and non-farm income. Farm income sources constitutes crop, livestock, other farm income source while nonfarm income constitutes agricultural wage, off-farm employment, nonfarm wage, self employed income sources, remittance (transfer payment) and petty trade. The simplest measure of income diversity was the average number of income sources (of the eight listed here) that households had. It was observed that rural households in the study area had an average of two sources of income. In Multiple regression model out of eleven explanatory variables included in the model, sex of household head, education level of household head, farm size, farm income and distance to market center were found significant in number of income diversification sources. While analysis of determinants of income diversification was done by logit regression model, in which probability of households participation in off-farm activities were used as dependent variable. In this case years of schooling of household head, farm income, landholding size/farm size, member ship in farmers cooperative and distance to the market center were found significant. Hence, stakeholders who focus on promotion, encouragement and expansion of income diversification is expected to enhance educational level of household, to provide aids and subsidized inputs to improve agriculture which in turn increases farm income, to develop rural infrastructure, to create off-farm job opportunity and to take into consideration dwindling landholding size of households. Determinants, Income diversification, off-farm, farm, Logit, Leemo and AniLeemo districts
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