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The study measures the level of technical efficiency and its determinants in Ethiopian garment factories. The study employs both Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) to compute the technical efficiency of the factories and Tobit model to examine the determinant of technical inefficiency based on a date set of ninety four factories over the period of 2014-2015. The study used Akaike Information Criteria (AIC) to opt for the best function between Cobb-Douglas and Translog functions. The DEA estimation shows that the mean technical efficiency of the factories was…mehr

Produktbeschreibung
The study measures the level of technical efficiency and its determinants in Ethiopian garment factories. The study employs both Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) to compute the technical efficiency of the factories and Tobit model to examine the determinant of technical inefficiency based on a date set of ninety four factories over the period of 2014-2015. The study used Akaike Information Criteria (AIC) to opt for the best function between Cobb-Douglas and Translog functions. The DEA estimation shows that the mean technical efficiency of the factories was around to be 0.43 while such figure in SFA goes as high as 0.89. The research recommends that output can be increased by improving the technical efficiency of Ethiopian garment factories.
Autorenporträt
I have completed my education with a master¿s degree in development economics from Debre Markos University and I also have a bachelor¿s degree in management from Haramaya University. I have been working with Ethiopian revenue and customs authority since last eight years, and I have successfully handled the correspondence business of the authority.