AAU Institutional Repository (AAU-ETD)
Addis Ababa University Institutional repository is an open access repository that collects,preserves, and disseminates scholarly outputs of the university. AAU-ETD archives' collection of master's theses, doctoral dissertations and preprints showcase the wide range of academic research undertaken by AAU students over the course of the University's long history.
How to Submit Your Work
The repository contains scholarly work, both unpublished and published, by current or former AAU faculty, staff, and students, including Works by AAU students as part of their masters, doctoral, or post-doctoral research
- All AAU faculty, staff, and students are invited to submit their work to the repository. Please contact the library at your college.
You may contact digirep@aau.edu.et.with any questions about the repository
Colleges,Institutes in AAU-ETD
Select a college,institute to browse its collections.
Recent Submissions
Analysis of Technical Efficiency of teff Production among Smalleholder FarmerS: In Wolayta Zone, Southern Ethiopia Regional State
(Addis Ababa University, 2024-06) Daniel Lencha; Sisay Debebe (PhD)
In Ethiopia increasing agricultural production of staple crops is necessary for economic growth,the alleviation of poverty as well as improvement of the security of food and nutrition. In the
wolayta zone, teff is one of the staples crops which regions with utilization of resource andimprovement of efficiency of production is as to obtain greater output in the production system.
The aim of this study was to analyze the level of the technical efficiency of teff production amongsmallholder farmers and its determinants in Wolayta zone. A multi-stage sampling technique wasemployed to select 286 sample farmers. Quantitative data were collected through individual
survey based structured questionnaires. The questionnaires were designed and formulated tocollect information about socio-economic and demographic determinants of technical efficiency
of teff production from sampled farm house holds to obtain data pertaining to teff productionduring 2023/2024 production year. A Cobb-Douglas trans log production model was used to
estimate technical efficiency and probit model was used to identify the determinants of technicalinefficiency of teff production. The parameter estimation technical efficiency showed that teff
output was positively and significantly influenced by 27%, by Urea 7%, NPS 8%, pesticide 16%oxen days 8%, labour days 8% improved seed 8% and local seed affect negatively by 11%. The
technical efficiency teff production is positively and negatively affected by education 4.8%,training 3.4%, experience 0.2%, age 0.2%, family size -0.7, extension contact -0.2% and nonfarm
income -5.5% affected technical inefficiency of teff production in the study area. Thiswould mean that there is a room to increase technical efficiency of teff production. From this
result I recommended to increase the farmers technical efficiency in teff production such as ureaNPS and pesticides. Because of education variable affect technical inefficiency negatively the
zonal administrator needs to improve education status of the farmers.Key words: Approach, Technical efficiency, stochastic frontier approach, wolayta zone,Ethiopia.
The Effect of Education on Economic Growth in Ethiopia
(Addis Ababa University, 2024-06) Dawit Belemo; Berhanu Dana (PhD)
Ethiopia, a nation with great potential, faces an important challenge: a large portion of the workforce lacks necessary skills. This study aims to analyze the impact of education on economic growth in Ethiopia, focusing on how enrollment in pre-primary, primary, secondary, and tertiary education, along with government spending on education, influence Gross Domestic Product (GDP). Using quantitative data analysis on Ethiopia's data sets from 2000-2023, this study seeks to uncover the individual and combined effects of education variables as independent variables and GDP as the dependent variable. The study employs a time series model analysis utilizing secondary data from reputable sources like the Ministry of Education of Ethiopia and the World Bank to examine the relationship between education and economic growth in Ethiopia, while accounting for other factors that may impact economic growth. The result of this study analysis shows pre-primary and primary enrollment was found to have a negative connection to GDP. This suggests that just increasing the numbers at these levels doesn't directly lead to economic growth, possibly due to issues with education quality, infrastructure, or other social and economic factors. In contrast, secondary enrollment, tertiary enrollment, and government education spending exhibited a positive relationship with GDP. This study highlights the importance of education and its potential to drive economic development in Ethiopia. By investigating the link between education and economic growth, this study aims to contribute to a better understanding of the factors influencing productivity in the country. Through a detailed analysis of empirical data, the study will seek to provide insights into the role of education in fostering economic growth and propose recommendations for policy interventions.
Key words: Skills, Government Spending, Productivity, Development etc.
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
The Impact of Government Spending on Economic Growth in Ethiopia
(Addis Ababa University, 2024-06) Gizachew Asefa; Sisay Debebe (PhD)
This study aims to analyze the impact of government spending on economic growth inEthiopia by using annual time series data from 1994-2023. The study uses public expenditure
variables from recurrent and capital expenditure components Such as expenditure oneducation, defense, agriculture, Health, Industry, Transport, Road, Urban Development and
Interest payment expenditure components, that expenditure of all selected components are onincreasing trend. The result of the ADF test has shown that all variables are stationary at I
(1). Johansen Co-integration validates co-integration among variables as a sign of long runrelationship. VECM used to test to know long run and the short run impact of government
spending on RGDP growth in Ethiopia analyzed using STATA. In long run expenditure ofgovernment on Industry development, Urban Development and interest payment is positive
and has statistically significant, whereas expenditure on health, education, transport andcommunication and road construction sector has insignificant impact on RGDP growth in
Ethiopia. But government expenditure on defense and agriculture sector is negative andsignificant effects in long run. In short run, expenditure on agriculture, education, industry
development, transport and communication, urban development, health and expenditure oninterest payment are the major beneficiary for RGDP growth. But only expenditure
government on defense and Road construction sector has no significant impact on RGDPgrowth in Ethiopia. The author recommends that there is a need to manage and control
Public expenditure, increasing budget utilization system and decreasing corruption.Disaggregated analysis is valuable from the policy perspective therefore author
recommended future research is suggested why most of the public expenditure haveinsignificant relation with economic growth in Ethiopia. Finally author recommend that to
know the determinants of RGDP growth of developing counties like Ethiopia not only publicspending and also various shocks (i.e. rainfall, political and institutional factors, and etc)
should have to be studied.
Keywords: Government spending, RGDP, Economic growth, VECM, Ethiopia.
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 distric