s
Mohammad Mahdi Bargi Osgooee; Mostafa Shokri
Abstract
Foreign direct investment (FDI) is one of the major factors affecting the economic growth and development of a country. Iran's economic condition not only steers liquidity towards non-productive activities but also doesn't have sufficient domestic capital for economic growth and propensity. Thus, absorption ...
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Foreign direct investment (FDI) is one of the major factors affecting the economic growth and development of a country. Iran's economic condition not only steers liquidity towards non-productive activities but also doesn't have sufficient domestic capital for economic growth and propensity. Thus, absorption of the foreign financial funds seems to be a useful and effective way to compensate for this shortcoming. Therefore, in this paper, we discuss on the importance of the variables affecting the FDI absorption in Iran during the period 1981-2016 using fuzzy regression with emphasis on the role of income tax. The results of the research show that income tax has a small effect on Iran's FDI absorption with a negative and negligible fuzzy coefficient. Further, income tax is not considered as the main determinant factor in attracting foreign investment in Iran. Also, economic factors such as GDP, commercial openness, human capital and population have a positive effect and inflation and exchange rates have a negative effect on FDI inflows in Iran.
International Commerce
Mohammad Mahdi Barghi Oskooee; Alireza Kazerooni; Behzad Salmani; Saber Khodaverdizadeh
Volume 8, Issue 31 , June 2018, , Pages 61-78
Abstract
The trade balance is one of the most important macroeconomic variables, and the macroeconomic strategic constraints for developing countries. The main target of this paper is study the effect of savings rate on the trade balance. According to the article target we used time series data of Iranian macroeconomic ...
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The trade balance is one of the most important macroeconomic variables, and the macroeconomic strategic constraints for developing countries. The main target of this paper is study the effect of savings rate on the trade balance. According to the article target we used time series data of Iranian macroeconomic variables during 1960-2015 with application of fuzzy regression and auto regressive distributed lag approaches. The results of fuzzy regression approach show that savings rate and GDP per capita have a positive effect on the trade balance in the short term and long term. In the other hand the real effective exchange rate and degree of trade openness have a negative effect on the trade balance in long term. Also the results of auto regressive distributed lag approach show that savings rate, trade openness and GDP per capita have a positive effect on the trade balance and the real effective exchange rate has a negative effect on the trade balance. The other results are: error correction coefficient shows that 93 present of unbalanced short term adjusted to achieving long term balance. According to the results of research to reduce the trade deficit, an increase in gross domestic savings can be one of the important policy recommendations.
International Commerce
aso Esmailpour; Ahmad Assadzadeh; Mostafa Shokri; Hammed Zolghader
Volume 7, Issue 28 , September 2017, , Pages 99-112
Abstract
One of the main goals of developing countries is abating of stable and enduring economic growth. Therefore, recognition of effective factors on economic growth is very important. Due to special significance of effective factors on non-oil exports in trade policy making, in this study the influence ...
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One of the main goals of developing countries is abating of stable and enduring economic growth. Therefore, recognition of effective factors on economic growth is very important. Due to special significance of effective factors on non-oil exports in trade policy making, in this study the influence of different Variables such as efficacy of export insurance subsidy on non-oil exports has been studied. Because of the high power models to predict the behavior of economic systems based on fuzzy regression, fuzzy regression is used to examine the relationship between non-oil exports with export insurance subsidy and other variables in the period 1995 to 2015.The results obtained from this study show that short term and long-term export insurance subsidy have positive effect on non-oil exports of the country. According to these results and main foresighted objectives defined in future economic development document, which include reduction of dependency to oil export revenues, in order to increase non-oil exports it is suggested to use export insurance subsidy.