Development Economics
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Browsing Development Economics by Author "Birhanu Denu (PhD)"
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Item Determinants of Commercialaization of “Enset” Products: Geta Woreda, Gurage Zone, Centeral Ethiopia(Addis Ababa University, 2024-10) Habtamu Abebe; Birhanu Denu (PhD)The study was aimed to investigating the commercialization level and factor affecting the commercialization of Kocho producers. The study was essentially use primary data that was collected from 186 randomly selected farmers through structured and semi-structured questionnaire. Both descriptive statistics and econometric model was used. Tobit model were used to identify the determinants of commercialization. The result of Tobit regression model shown that educational level of household head, livestock owned, equine owned, distance from the nearest market, transport cost, access to credit, cooperative membership and non/off farm income significantly affected commercialization level of Kocho producers. The study recommends provision of zone and regional agricultural office to advertise in international and local market Ensets are drought tolerance plant and kocho is organic food. It is essential to improve commercialization. Key words: Commercialization, Kocho, Tobit, Gurage zone, Geta districItem Determinants of Urban Food Insecurity in Burayu Town of Sheger City Admnistration in Oromia Region of Ethiopia(Addis Ababa University, 2024-07) Bikila Merga; Birhanu Denu (PhD)Food insecurity is a global problem that affects individual, family and nations as a whole. Urban food insecurity is one of the problems that need attention, due to the limitation of most of the studies to the analysis of the risk of food insecurity only as a problem of rural areas. The study analyses the determinants of urban household food insecurity, in Burayu town of Sheger City Administration of Oromia Region in Ethiopia. For this study, a cross sectional data type design and two stage sampling procedure were used to collect 386 sample households randomly in Burayu town; Descriptive statistics and Binary Logistic models were used to describe and analyze the determinants of food insecurity in the study area. The HFIAS results of the study suggested that, most of the households are food insecure, which is about 79% the households in the area were in the risk of food insecurity and 21% of the households were food secure. Based on the HFIAP result, the extent of food insecurity was categorized into; about 26% of the households mildly, 41% moderately, and 12% were severely food insecure. The output of the binary logistic model show that, age, house ownership, income, asset and remittance, educational level of the household heads were negatively and significantly correlated with food insecurity status of household and only dependency ratio and food expenditure were positively associated with food insecurity. Finally, food insecure households were practiced dietary change coping strategies as well as short term i.e. relying on asset and support coping mechanisms to cop up the food shortage. In general, to minimize the risk of food insecurity in the study town, the government and development actors should encourage the food insecure households through short term training on business ideas, give food or financial support for severely food insecure and expand different job opportunities in the town for urban poor. Key words: Household, Food insecurity, Binary Logistic, Urban, Burayu, EthiopiaItem Determinants of Urban Poverty Among Households of Sebeta Town, Sheger City Administration, Oromia Region, Ethiopia(Addis Ababa University, 2024-06) Garuma Fite; Birhanu Denu (PhD)Ethiopia is known as a global where all people live in chronic condition of poverty. Especially, attention has not been given for urban poverty on findings and development studies of Ethiopia. The study was conducted with general objective determinants of urban poverty among households of Sebeta town. To gather data both primary and secondary data were used. The primary data source was collected from 361 household heads by distributing pre-prepared structured questionnaire while secondary data was collected from published and non-published materials. To determine general poverty line of the study town, a Cost of Basic Needs (CBN) approach of poverty measurement was employed and household heads in the town were identified as the poor and non-poor. Based on general poverty line in the town measurement of poverty indices head count poverty, poverty gap and severity of poverty were measured. The data was analyzed and estimated by employing descriptive statistics and Logistic regression model depend on the primary data with the probability of households being poor as a dependent variable, and demographic and socioeconomic characters as the explanatory variables. Econometric results of the binary logit regression model revealed that; sex, age, family size, health condition, education level, employment status, income, remittance, saving habit, social capital, asset ownership, access to credit, house tenure and migration were found statistically significant 1%, 5% and 10% significant level. The variables that were negatively correlated with the probability of being poor were sex, age, education, remittance, saving habit, social capital, access to credit, asset ownership, and house tenure. The variables those positively correlated with the probability of being poor were family size, employment status (unemployed), health condition and migration. Hence, the recommendations suggested in this study were cost of food and non-food items should be stabilized, promoting higher education, diversifying income of households, attention should be given to reduce family size, unnecessary rural to urban migration should be controlled, efforts should be done to enhance labor absorb market through job creation by the expansion of micro and small scale enterprises, advancing infrastructures like houses, water, electricity and health service. Keywords: Urban Poverty, Household, Cost of Basic Needs, Logit model and Sebeta, Ethiopia