Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/314135 
Year of Publication: 
2021
Citation: 
[Journal:] Journal of Applied Economics [ISSN:] 1667-6726 [Volume:] 24 [Issue:] 1 [Year:] 2021 [Pages:] 366-391
Publisher: 
Taylor & Francis, Abingdon
Abstract: 
Recently, entrepreneurship has been given serious devotion due to its importance on economic growth, job creation, sources of innovation and productivity. So, this paper aims to identify the determinants of entrepreneurial intention of engineering graduating students in Ethiopia. Stratified sampling technique was employed and data were collected via questionnaire from 921 students from the target population. The study utilized regression statistics to analyze the data. The data used for this study is hierarchally structured and hence multilevel binary logistic model was used to identify the relationship between predictor and outcome variables by taking into account both level-1 (students' characteristics) and level-2 (universities characteristics) in regression relationships. The model result founds that personal attitude, perceived educational and relational support are the significant predictors of entrepreneurial intention of students at 5% level. The policymakers should facilitate entrepreneurship trainings to change attitude of students and strength the cooperation between students and fund raisers.
Subjects: 
cluster data
entrepreneurial intention
Multilevel analysis
regression models
students
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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