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Showing 3 results for Income Distribution

Dr Davoud Behboudi, Dr Mohammad Ali Motafkker Azad, Siab Mamipour,
Volume 3, Issue 10 (12-2012)
Abstract

  Oil revenues play a significant role in the government budget in Iran and have also an important impact on GDP. This study aims at providing a practical solution for the question of how oil revenues should be managed. In this regard, a Computable General Equilibrium (CGE) model has developed to examine the direct effect of distribution of oil revenues on GDP in both static and dynamic approaches .

  The results of static model show that the direct distribution of oil revenues to households has a negative effect on the government expenditures and therefore decrease the GDP . The dynamic model allows the conversion of savings into investment and capital formation. So the results of running this model show the positive effect of direct distribution of oil revenues on GDP and also the negative effect of this policy on the government current spending. Therefore, the results confirm that direct distribution of oil revenues is an effective policy in reducing the dependence of government on oil revenues and also in relying more on people and the tax revenues .


Sepideh Yasharel, Magid Habibian Naghibi,
Volume 7, Issue 23 (3-2016)
Abstract

Targeted subsidies plan affects income distribution and poverty through several channels. On most of the analyzies, changes on labor supply are not considered. Increasing nominal income alone after paying cash subsidy rule can reduce labor supply in targeted subsidies. This issue may decrease effect of targeted subsidies. In this research by CGE we calculate the result of impact of energy price increase and direct cash subsidy transfer with considering labor supply decrease in the first phase of this plan. Then we use this CGE data to calculate the poverty index and income distribution. The model is calibrated based on 2001 Micro Consistent Matrix (MCM) designed by Research Institute of Planning and Management Deputy Strategic Planning and Control. The results of the model show that while the plan reduce supply of labor, it improve income distribution and poverty in Iran. The results also reveal that the percentage of improvement in purchasing power of rural deciles is more than the percentage of improvement in purchasing power of urban deciles.


Mohsen Tartar, Hamid Sepehrdoust, Ali Akbar Gholizadeh,
Volume 12, Issue 45 (11-2021)
Abstract

The status of income distribution is economically important because other macroeconomic variables, especially savings rates, affect the amount of investment and aggregate demand in different markets, and are politically a measure of government efficiency in attracting voters. The present study aims to investigate the macroeconomic variables affecting inequality in income distribution in the two groups of middle-income countries and high-income countries based on the International Monetary Fund classification. For this purpose, the annual data of economic complexity, scientific productivity, political risk, economic risk, and financial risk and the period 2019-2000 and the panel method have been used. The results show that in high-income countries, increasing economic complexity and scientific productivity reduces income inequality, while in middle-income countries, increasing scientific productivity reduces income inequality, but increasing economic complexity increases income inequality. Reducing political risk in both groups reduces income inequality; While reducing financial risk reduces income inequality in high-income countries, it increases income inequality in middle-income countries. The impact of economic risk on income inequality is also negligible in high-income countries, while in middle-income countries the impact of economic risk on income inequality is very strong, and reducing economic risk in this group of countries strongly reduces income inequality.


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