Urban Agriculture: Determinants and Its Implication on Poverty Reduction: A Case of Bishan Guracha Town, West Arsi Zone, Oromia Regional State, Ethiopia

The main intention of this study is to analyze the determinants of urban agriculture and its implication on poverty reduction. To this end, convergent parallel mixed design was utilized. All individuals working on the three urban agricultures were comprised of the study population. Specifically, 228 participates were participated on the research of which 118, 53 and 52 households were selected from fishery, milk and animal fattening micro and small enterprises respectively. Study participants were selected via employing stratified random sampling method proportionally. Further, key informants were taken purposefully for the intent of qualitative data. Questionnaire, semi-structured interview and focus group discussion guides were used as tools of data collection method. To categorize the status of poverty as poor and non-poor Foster, Greer and Thorbecke (FGT) index was used. Whereas one-way ANOVA was computed to identify whether statistically significant differences among the income generated from the three types of urban agricultures or not. Binary logistic regression was employed to pinpoint the determinants of urban agricultures while qualitative data was analyzed thematically. The finding suggested that about 40% of urban agricultural practitioners are failed blow poverty line. The results revealed that there were statistically significant differences among the three types of urban agricultures by the income earned from it. Inexplicably, modern fish net, access to different credit services, shortage of local boat, conflict of interest and access to saving and sex, education level, market fluctuation, lack of veterinary institution, lack of attention to the sectors, lack of extension services, lack of training and shortage of access to transportation were found to be determinants of fishery. Extension service, access to market linkage, shortage of input and climate changes and lack of market linkage, improved livestock, shortage of land and access to transport were not found to be statistically significant association with the income of households who have been taking part on animal Fattening productions in the study area.