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Unemployment and low income are some of the present problems in urban cities of Ethiopia. The
government of Ethiopia has formulated a policy to mitigate the problem wholly by induce MSEs.
Basically, MSEs are set up with the goal of poverty alleviation. It is also stiff base for medium and large
enterprise. As a whole MSEs are seen as an essential backbone and springboard for economic growth,
job creation, poverty reduction and social progress in both developed and developing countries.
However, the performance of MSEs in Sayilem district is low. So, this study was done to investigate the
determinants of MSEs Performance in study area using descriptive statistics and econometric model of
binary logistic regression and multiple linear regression model with the help of (Stata-14). Both primary
and secondary data were also employed in getting the necessary information for the analysis of the study.
A total of 148 sample respondents were identified using multiple stage sampling technique. The result of
the study shows that majority of the MSEs have been a recent establishment and faced challenges of
inadequate initial capital, government policies and regulation related factors, limited infrastructure
facility, unfair market competition, lack of training, limited access to credit, and lack of know-how and
skills to use technology. Furthermore, the study also noted that most of the operators were found to be
young labor force of male operators and less participation of female operators than male.
In general, the main objective of this study is to analyze factors that affect the performance of MSEs in
Sayilem district. Due to the main finding of econometric result of binary logistic regression gender of the
operator, education level of the operator, access to credit, access to market, government policies and
regulation and amount of initial capital were found to be significant factors determining performance of
MSEs. Similarly econometric result of OLS also shows that Government policy and regulation, access to
credit, access to training and level of market competition to be significant factors determining
performance of MSEs. Therefore, to improve the overall performance and capacity of MSEs for
generating profits in particular, creating job opportunity thereby and alleviation poverty in general,
governments, policy makers, donors, financial institutions and operators of MSEs should pay attention on
overcoming the major constraints facing performance of MSEs in the study area |
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