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Nonlinear relationship between education and e The main objective of this study is to investigate the role of human capital on economic growth in different economies. For this purpose, we consider a model in which the growth rate of total factor productivity (GRTFP) depends on human capital stock levels, and human capital affects GRTFP through innovation and technology adoption from abroad. Using a cross-country panel approach for 104 countries, including 79 developing countries and 25 OECD countries, in five-year intervals during the 1980-2005, we found the relationship between human capital and economic growth is nonlinear. In addition, the development of domestic technology is more effective factor on economic growth in developing countries than catch-up factor, while human capital accumulation through technology adoption from abroad is more effective factor on economic growth in developed countries. conomic growth (Barro and Lee's approach in measuring human capital) The goal of this study was to investigate the role of human capital on economic growth in different economies. For this purpose, we examine the relation between growth rate and human capital by econometric models. In this paper, using the panel approach to Iran and 103 other countries, and considering the five-year moving average during 2005-1980. we realized that the relationship between levels of human capital and economic growth is nonlinear and development of domestic technology, operating more important role in economic growth in developing countries. The main result of this paper denote that there are different between growth pattern among developed and developing countries.

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This paper, based on the stochastic frontier approach (SFA), measures the technical efficiency (TE) of Iranian manufacturing industries under the estimation of Translog production function used by the maximum likelihood technique. The findings indicated that out of 140 evaluated industries in this study, 5 industries including the refined primary copper products, cleaning and grading, packing pistachios, manufacture of motor vehicles, manufacture of plastics in primary forms and  manufacture of plastics in primary forms, and of synthetic rubber have had the highest efficiency in 2009. The results also demonstrated that 4 industries; manufacture of food and beverages,  manufacture of tobacco, manufacture of plastic except the footwear, and finally, Manufacture of lifting and handling equipment have experienced the greatest change for efficiency during the period 1995-2009 among the industries.