yasaman hokmollahi; ali taiebnia; mohsen mehrara
Abstract
Trade liberalization, both directly and indirectly (through structural changes), affects the total factor productivity. The key factor in determining the direction of this impact is the quality of institutions. In this study, to consider the most important aspects of structural change, we propose a multidimensional ...
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Trade liberalization, both directly and indirectly (through structural changes), affects the total factor productivity. The key factor in determining the direction of this impact is the quality of institutions. In this study, to consider the most important aspects of structural change, we propose a multidimensional index for structural change using the principal component method and then applying the Bayesian averaging method (IVBMA) econometrics model evaluate the effect of trade liberalization, structural changes, and the quality of institutions on total factor productivity in a subsample of 64 countries. our IVBMA results indicate that structural change, business freedom, and resources rents are the most important variables in explaining the observed differences in the total factor productivity index. Structural change with a posterior inclusion probability (PIP) of 0.74 Is the most important independent variable to explain the observed differences in the level of total factor productivity. Increasing the multidimensional index of structural change with a posterior coefficient of 0.14 has a negative effect on total factor productivity. An increase in business freedom index and resources rents leads to 0.39 and 0.22 increase in total factor productivity index. Trade liberalization with a posterior inclusion probability of 0.45 had a positive effect on total factor productivity. Granger causality test also shows that trade liberalization is the cause of structural change; Therefore, trade liberalization in this study has caused structural changes that reduce productivity.Keywords: Structural change, Trade liberalization, Institutions, Productivity
Economic Growth
Mohsen Mehrara; Sadeq Rezaei Bargoshadi
Volume 6, Issue 23 , May 2016, , Pages 114-89
Abstract
This paper identifies determinants of economic growth in Iran, by using averaging methods and annual time series data from 1974 to 2012. The results indicate that ratio of oil revenue toGDPis the most important variable affecting economic growth. Also the second and third effective variables on growth ...
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This paper identifies determinants of economic growth in Iran, by using averaging methods and annual time series data from 1974 to 2012. The results indicate that ratio of oil revenue toGDPis the most important variable affecting economic growth. Also the second and third effective variables on growth are respectively ratio of imported capital and intermediate goods toGDPand labor force which lead to an increase in growth. Endogenous growth factors which are the factors contributing to formation of human capital, not possess a large role in growth process. Investments, especially government investment affects contrary to were expected. In fact, low quality, and productivity of investments and poor allocation reduced importance of investment’s quantity. The nature of Iran’s economy has not endogenous and dynamic features and predominantly, growth has been made by injecting of exogenous sources. Emphasis on formal and informal educational orientation in the quality of human capital instead of increasing in quantity of education is recommended.
Fathollah Tari; Mohammad Shirijian; Mohsen Mehrara; Hossein Amiri
Volume 3, Issue 10 , June 2013, , Pages 106-93
Abstract
Identifying the factors that contribute to sustained economic growth of countries is the main concerns of economic researchers. The present paper employs a Bayesian econometrics approach based on Bayesian Model Averaging (BMA) method to investigate the effect of public and private health expenditure ...
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Identifying the factors that contribute to sustained economic growth of countries is the main concerns of economic researchers. The present paper employs a Bayesian econometrics approach based on Bayesian Model Averaging (BMA) method to investigate the effect of public and private health expenditure on economic growth in developing economies. The empirical findings show that public health expenditure positively and private health expenditure negatively affect on the long-term economic growth of developing countries. Also, hospital beds do have a positive important role in explaining long-term economic growth.
