s
davood farhadi; hossein ali danesh; Habib Ansari Samani; Hadi keshavarz
Abstract
Over the past decades, the economies of the world have continually experienced economic fluctuations, business cycles, and cycles of boom and recession. Fiscal rules are one of the most important tools of the government with the goal of stabilizing and reducing fluctuations during the business cycle. ...
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Over the past decades, the economies of the world have continually experienced economic fluctuations, business cycles, and cycles of boom and recession. Fiscal rules are one of the most important tools of the government with the goal of stabilizing and reducing fluctuations during the business cycle. It is always the minds of many policymakers who are involved in the question of how a policy should be considered during a period of boom or recession. In fact, policy makers are confronted with the question of whether fiscal rules should be used during business cycles. In response to this question, the present study uses a dynamic stochastic general equilibrium (DSGE) model and modeling the National Development Fund to scenario in two modes of applying counterycyclical fiscal rule and its non-implementation. The findings of the study showed that, in the case of petty impacts, a counterycyclical fiscal rule based on oil revenues has reduced the intensity of fluctuations of macroeconomic variables compared to the absence of a fiscal rule. Also, in the case of monetary impulse, there is not a significant difference in the effectiveness of the implementation of the fiscal rules or its non-implementation.
Quality of Environment
Zahra Nasrollahi; Habib Ansari Samani; Masoume Rouzbahani
Abstract
Sustainable development is a very broad concept, and achieving it, is a guarantee of the sustainable welfare of societies. On the other hand, income distribution affects many of sustainable development indicators. As a result, investigating the relationship between the two is essential. Based on this ...
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Sustainable development is a very broad concept, and achieving it, is a guarantee of the sustainable welfare of societies. On the other hand, income distribution affects many of sustainable development indicators. As a result, investigating the relationship between the two is essential. Based on this importance, the relationship between these two variables was the goal of this study. The Gini coefficient is selected as the independent variable and the composite index of sustainable development (combination of sustainability of human, physical and environmental capital) as the dependent variable of the research. In order to answer the research question, a panel data regression model for the Iran's provinces during 2008-2014 and using FGLS method have been used. The results show that the relationship between income inequality and composite index of sustainable development is negative and significant. The results also show that the effect of GDP growth rate and energy intensity on the dependent variable of the model was positive and negative and statistically significant respectively. While the impact of industry structure and urbanization rate is not statistically significant. Regarding the results of the regression model, we can reduce the inequality in order to attain sustainable development.
International Commerce
Omolbanin Jalali; Habib Ansari Samani; Madjid Hatefi Madjumerd
Volume 8, Issue 29 , December 2017, , Pages 157-174
Abstract
The aim of this study at first is to study the effective factors of FDI and then the estimation of these effects during 1983-2014. In this regard the causality relationship between FDI and political risk, GDP, trade openness index, inflation and exchange rate, has been investigated through Hsiao and ...
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The aim of this study at first is to study the effective factors of FDI and then the estimation of these effects during 1983-2014. In this regard the causality relationship between FDI and political risk, GDP, trade openness index, inflation and exchange rate, has been investigated through Hsiao and Toda-Yamamoto tests. Then using a smooth transition regression model, the effect of determinants of foreign direct investment will estimated. In addition, results show that political risk, GDP and exchange rate are statistical cause of FDI, but trade openness index and inflation have no significant effect on foreign direct investment. In addition, the nonlinearity of model was also verified. The model showed that the FDI function can be investigated in the form of a structure with a two regime with threshold value of $ 2,000 million. Political risk in both regimes has a negative effect on foreign direct investment, but with the arrival to high regime, the sensitivity will be reduced. This relationship between the GDP and FDI is opposite.
