https://repository.ju.edu.et//handle/123456789/131 2026-04-16T14:30:25Z 2026-04-16T14:30:25Z Ashetu Emiru Tola Minyahil Alemu Abdelkaf Elias https://repository.ju.edu.et//handle/123456789/9778 2025-07-21T07:53:23Z 2024-03-27T00:00:00Z

Fiscal Policy and Unemployment in Ethiopia: Evidence From Ardle Model Ashetu Emiru Tola; Minyahil Alemu; Abdelkaf Elias One of the primary goals of macroeconomic and fiscal policy in the Ethiopia, as in many other developed and developing countries is to reduce unemployment. The study investigates the impact of fiscal policy on unemployment in Ethiopia from 1990 to 2022. In the analysis, the cointegration test, the ARDL Model were used. The variables studied include real gross domestic product (RGDP), government spending, tax income, trade openness, population growth, and the unemployment rate. The stationarity test was performed, and the findings showed that, with the exception of population increase, all variables were stationary at first difference. The cointegration test result demonstrated that the variables under examination have a long-term relationship. Furthermore, ECM results revealed that government spending has a negative influence on unemployment while tax income has a beneficial impact. Finally, the Granger causality results revealed a one-way relationship between unemployment and government spending, with causality moving from government spending to unemployment. Using this method, the researcher discovers evidence of a long-run relationship between the unemployment rate and variables such as government spending and tax income. The study recommends, the government restructure its spending patterns by directing more funds toward productive expenditures and utilizing its potential for revenue generation by diversifying Ethiopia's revenue stream.

2024-03-27T00:00:00Z Jira Jabessa Mohammed Sultan Feda Etafa https://repository.ju.edu.et//handle/123456789/9686 2025-06-25T07:07:17Z 2024-08-06T00:00:00Z

Factors Influencing saving and Credit Cooperatives improving members livelihood: case study of vision fund Micro Finance Institutions in Jimma town Jira Jabessa; Mohammed Sultan; Feda Etafa Purpose of this study is to investigate the Factors Influencing saving and Credit Cooperatives of improving members of livelihood. The researcher applied both descriptive and explanatory research design. The research was conducted by using both qualitative and quantitative research approach. A study was administered a sample of 263 respondents and the target population of the study was SACCO’s members in vision fund microfinance Jimma town. The researcher was utilized simple random sampling techniques and Data collection method by using questionnaires. Method of data analysis was used descriptive and econometrics analysis with the help of STATA version 14. The study employed a binary logistic regression model trough marginal effect analysis to identify factors that affecting the livelihood improving of members of SACCO. The binary logistic regression model is used to examine the effect of predictors on livelihood improvement status of SACCO’s members. The finding of study trough marginal effect analysis, reporting coefficient results show that marital status, household family size, saving, loan, welfare fund and training statistically significant and posit ively contribute livelihood improving of members. The conclusion of the study the livelihood of SACCO members about 64.63 percent were did not improved, but only livelihood of SACCO members about 35.37 percent were did improved and based on the result recommendation forwarded it is better for SACCO providing access to affordable credit is essential for SACCO members to invest in their businesses and improve their livelihoods. This can be achieved by offering flexible loan terms, lower interest rates, and tailored credit products that meet the unique needs of each member. Additionally, collaborating with other financial institutions to expand credit access can also be beneficial.

2024-08-06T00:00:00Z Negesse Getinet Daba Tezera Selamu Abebe Shentema https://repository.ju.edu.et//handle/123456789/9555 2025-05-07T13:52:22Z 2023-01-01T00:00:00Z

assessment of factor affecting the delay of road construction in Ethiopia; the case of Oromia road projects, Jimma zone Negesse Getinet Daba; Tezera Selamu; Abebe Shentema Delays on the construction projects are the most common and frequent problem of the road construction. Many road construction projects have been undertaken throughout the Oromia Regional State as part of the government’s regional development plans. However, a few road building projects in ORA that were proposed and financed by the Federal government have not been finished by the initial deadlines and pre-agreed sums of money. The main objective of this study was to identify the factors affecting the delay of road construction in Ethiopia; the case of Oromia road projects, Jimma zone. The survey data was carried out through a questionnaire. The sample size of the study is 158 respondents, professionals from 3 target population client, contractor and consultant in Jimma Zone Road Authority. 47 potential delay causes and 7 effects were selected from the reviewed literature and the causes were divided in to 5 as client related factors, consultant related factors, contractor related factors, material and equipment related factors and environmental related factors. The researcher used stratified simple random sampling techniques in order to assess the cause and effect of delay on road construction the case of Oromia road projects, Jimma zone. These factors was ranked using the Likert scale-type questionnaires are used as a data rating scale tool to measure employees' perceptions of the variables. The study used a primary data source and the data was quantitatively analyzed using the Social Science Statistics Package (SPSS). Finally, both descriptive and inferential statistics was used to analyze the data. Among the descriptive statistics frequency distributions, means, standard deviation and relative importance index method was used. Among the inferential statistics Pearson correlation and multiple linear regressions analysis was used to identify the effect of project delay of road construction. The Pearson correlation result showed that there is strong relationship between the independent variables and project delay. Consultant related factors, contractors related factors, and environmental related factors were identified as a statistical significant effect on the delay of road construction projects, but client related factor and material and equipment related factors do not have a statistical significant effect on the delay of road construction projects at 5% level of significance. The researcher recommends that clients should have a good coordination with the contractor and being realistic so as to avoid delays.

2023-01-01T00:00:00Z Meron Araya Haile Sintayehu Tulu Belay Hube https://repository.ju.edu.et//handle/123456789/9550 2025-05-07T12:24:03Z 2023-01-01T00:00:00Z

Determinants of Financial performance of Primary Saving and credit cooperative Societies in Jimma Zone Meron Araya Haile; Sintayehu Tulu; Belay Hube The study aimed to investigate the determinants of financial performance of primary SACCOs in Jimma Zone, Ethiopia. The objective of the study was based on six factors: leverage, liquidity, managerial efficiency, capital adequacy, SACCO size, and age of SACCOs. The total population of the study was SACCOs in Jimma Zone, and the sample frame selected primary SACCOs in Jimma Zone. The sample size of the study was 12 primary SACCOs, which were determined purposively. The study employed a descriptive and explanatory research design. Secondary data was used for the study, which was collected through document review from the financial statement and audit reports of the year’s 2018 to 2022 using observation and review as data collection instruments. E-View 10 was used for secondary data analysis. Inferential statistics were applied through the use of multiple regression analysis to establish the nature of the existing relationship between the dependent variable and independent variables.Out of the six variables incorporated in the model, capital adequacy, size of SACCOs, and age of SACCOs have a positive and statistically significant influence on the financial performance of SACCOs in Jimma zone. Managerial efficiency has a negative and significant effect on the financial performance of SACCOs. On the other hand, liquidity and leverage have positive and insignificant influences on the financial performance of the SACCOs. The number of primary SACCOs in Jimma is high in number but they are not as strong, so the study recommended that to improve the financial capacity of SACCOs by amalgamating different primary SACCOs into one under the big umbrella. The government official of cooperatives should pay great attention to continuously supervising, inspecting, auditing, and developing regulatory situations to make them financially prudent and enhance the development of infrastructures in different areas where difficulties are being faced on the way to providing financial services

2023-01-01T00:00:00Z