Abstract:
The determination of factors affecting efficiency level is important
as well as the measurement efficiency. This study aims determining the
extent by which conventional dummy variables such as age, education and
experience can explain efficiency level, with logistic regression model
in agricultural enterprises. Thus, efficiency scores of enterprises was
calculated by using data envelopment analysis, as a first stage. Dependent
variable is generally integrated to the analysis in binary form in the
logistic regression model which is widely used. In an alternative use
of the logistic regression model, the dependent variable is continuous,
but this alternative offers limited range. The findings indicate that
conventional dummy variables such as age, education and experience are
not significant, but type of enterprise for all efficiency levels and
scale of enterprise for only total efficiency level was found to be significant
factors in explaining efficiency level in this case study.
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