Shahram Mosalla; Alireza Amini; Gholamreza Geraeinejad; Ali Akbar Khosravinejad
Abstract
The study of the effect of education on total factor productivity is one of the important topics in the macroeconomic literature and educational policy. However, identifying the threshold of the effect of education on total factor productivity is of more interest to policymakers. The present study ...
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The study of the effect of education on total factor productivity is one of the important topics in the macroeconomic literature and educational policy. However, identifying the threshold of the effect of education on total factor productivity is of more interest to policymakers. The present study investigates the nonlinear relationship between education and total factor productivity for the period 1365-1397 SH (1986-2018). Average years of study have been used as an indicator of education and the Gentle Transfer Regression (STR) model has been applied to estimate the threshold. The results confirm the nonlinear effect of education levels on total factor productivity and show that the quantity of education index in a two-regime structure with a threshold of 81.86 (equivalent to the average years of study 7.82 years) has a significant effect on total factor productivity. Given that the Iranian economy has exceeded the threshold since 1390 SH (2011), increasing the quantity of education will have a negative impact on productivity. Therefore, reviewing the quantitative development of education and giving priority to improving the quality of education has more priority than in past.
Alireza Amini; Farzaneh Yazdipoor
Volume 8, Issue 30 , October 2008, , Pages 71-104
Abstract
In this paper, we surveyed the most important quantitative factors that influence energy productivity in Iran’s large manufacturing industries over the 1999-2003. A few models were run by using pooling data technique, covering manufacturing units at two digit level of ISIC classification. The results ...
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In this paper, we surveyed the most important quantitative factors that influence energy productivity in Iran’s large manufacturing industries over the 1999-2003. A few models were run by using pooling data technique, covering manufacturing units at two digit level of ISIC classification. The results obtained indicate that factors such as capital/ energy ratio (K/E), real cost capital, labor/ energy ratio (L/E), real wages and electricity used/ total energy ratio are most influential factors affecting energy productivity, respectively.
Productive engineering labor as percentage of total productive labor which was taken as a proxy for technology has had positive and meaningful effect on energy productivity. In addition, in view of present trend relative energy prices didn’t have meaningful effect on energy productivity.