جستجوی مقالات مرتبط با کلیدواژه « توزیع درآمد » در نشریات گروه « اقتصاد »

The main goal of the study is to investigate the mutual effects of income distribution and Enfagh variables in the provinces of Iran. The statistical data consists of 30 provinces and the time period is from 1385 to1401, Model estimation has been done using panel data technique. The increase in the price index, population and unemployment rate have increased the inequality so that their one percent increase the amount of inequality by 0.12, 0.47 and 0.52 percent. The results related to the effect of variables on per capita Enfagh show that the increase in the price index and the unemployment rate have reduced per capita Enfagh so that each one percent increase in these variables reduces per capita Enfagh by 2.45 and 3.09 percent. Also, the increase in population and the Gini coefficient have increased per capita Enfagh. So that each percentage increase of these variables increases per capita spending by 0.73 and 5.88%.

One of the significant challenges in regional development is examining the role of local governments and their relationship with large local companies in income distribution. This challenge is particularly pertinent when large companies have national objectives, and most of their production capacity is capital-intensive and knowledge-intensive, but their operational area is locally focused on the user. The present research aimed to explore the role of the government and large local companies in income distribution. Khuzestan Province was chosen due to its unique characteristics in this regard. The study covered the period from 2006 to 2020, analyzing seasonal data using the generalized method of moments (GMM). The findings indicate that the government’s current and construction expenditures in the province have a negative and significant effect on the urban Gini coefficient. In contrast, the value-added variable of large industrial companies in the province has a positive and significant effect on the urban Gini coefficient. The results suggest that careful planning and coordination between large companies and provincial managers should be sought by adopting policies such as increasing local employment and training local workforce, thereby reducing dissatisfaction and income inequality in the province.

This study investigates the impact of natural disasters on income inequality in Iran from 1980 to 2021. It also explores the moderating effects of financial development and globalization on this relationship. The Non-linear Autoregressive Distributed Lag (NARDL) method is employed for the analysis.The findings reveal that several factors influence income inequality (measured by the Gini coefficient) in both the short and long term. Positive and significant effects were observed for GDP, inflation, severe natural disasters, and the globalization index. Conversely, education level, the square of GDP (indicating an inverted U-shaped relationship), and the financial development index exhibited negative and significant effects.These results support Kuznets' hypothesis, suggesting that income inequality initially rises with economic growth (GDP) before ultimately declining. Furthermore, the study confirms an asymmetric effect of financial development and globalization on income inequality. The analysis suggests that an increase in severe natural disasters, globalization, and a decrease in financial development all contribute to rising income inequality in Iran.

Today, one of the challenges facing health systems is the ever-increasing increase in its costs. This study investigates the relationship between health costs and income inequality. Income inequality has been investigated using four Gini coefficients and, in a quantile, approach using annual panel data from 2000 to 2022 in selected middle-income member countries of the Organization of Islamic Cooperation, the empirical results show that the effect of health costs on inequality The income in the countries that are part of the top 10 percent of the income level in this group is much higher than the countries that are in the lowest income level. The effect of life expectancy, death rate and population on income inequality is also opposite; That is, the countries that are in the highest category in terms of income level, the effect of these variables on income inequality is much greater than the countries that are in the lower income categories. Also, due to the effect of population structure on income inequality, it is necessary to seriously consider it in the design and formulation of policies in the field of health, hygiene and population structure. Health, treatment and quality of life improvement policies to increase life expectancy and decrease mortality rate, policies to increase investment (reduction of consumption, promotion of security, economic development of exports, etc.) should be pursued to reduce income inequality.

One of the main goals of government policies in any economic system is to improve income distribution.On the other hand, the type of policy and monetary policy tools used by the Islamic government should be in line with the direction of the society towards a balance in the level of living, income and wealth.In this research, in order to investigate the impact of monetary policy on the income distribution of Iran, the ARDL method and the latest available data during the period of 1401-1379 have been used.The results of the estimates showed that the improvement in the income distribution index in Iran's economy is a long-term process And expansionary monetary policies in Iran during the studied period led to inequality in the income distribution index.On the other hand, the results show that the expansionary monetary policy has less effect on the economy in the short term, but in the long term, this effect becomes larger and reduces income equality to a greater extent. Also, the increase in economic growth caused an increase in the distribution index, which was caused by high inflation in this period in Iran's economy.

Many economists believe that unequal distribution of income is one of the main conditions for economic growth. With the integration of the world economy and the increasing development of international interactions, countries can no longer ignore the role of the foreign sector in macroeconomic policy making. In this mean, currency arrangementscan have macroeconomic effects. The method of this research is analytical descriptive which uses regression analysis with GMM method. The field of study includes the OPEC member countries and the Organization for Economic Cooperation and Development (OECD), which most of the OPEC countries are Islamic countries and have a fixed currency regime and average or bad income distribution. The annual data are used for empirical analysis for each country and include the review period for the years 2007-2018. The results of this study show that in comparison with foreign exchange regimes, the independent variable of the managed floating exchange rate index on the dependent variable of Gini coefficient is negative and significant for the OPEC group. Also, the effect of the independent variable of the nail exchange rate index on the dependent variable of Gini coefficient for the OPEC group is positive and significant. In fact, for both groups the use of a floating exchange rate regime can reduce income inequality better than a fixed exchange rate regime. The results also show that the floating currency system has no significant effect on inequality in OPEC countries.

The present study aimed to explore the impact of banking crisis on income distribution among various income classes in 60 world countries during 1990–2020. In this line, the Generalized Method of Moments (GMM) was used to estimate the six models with different dependent variables that depicted income percentiles for the wealthy, middle, and poor classes. The findings indicated that during a banking crisis, the income share of the wealthy class decreases, while the middle class and the bottom 20% experience an increase in their income share. Consequently, banking crisis could contribute to income equality in the countries under study. In addition to the variable of banking crisis, other variables such as financial development and financial openness could lead to income inequality, while the variables like the ratio of public expenditure to GDP, trade openness, GDP, and GDP squared would cause income distribution equality in the countries. The results suggest that governments support lower-income percentiles through subsidies, support packages, more job opportunities, and provision of low-interest loans, in a bid to mitigate the detrimental effects of banking crisis and reduce income inequality. Furthermore, governments should levy taxes, such as capital gains tax, on higher-income percentiles.

The purpose of this article is to investigate the distribution of household income in Isfahan province by using the data of the household income and expenditure plan, for the period of 2011-2021 using parametric methods. For this purpose, different statistical distributions are fitted to the data, and distribution parameters are estimated using the maximum likelihood estimation method. Then, the appropriate distribution is selected using distribution function graphs and Akaike's criterion (AIC). By comparing the graphs of distribution functions from 2011 to 2021 for the data, the results show that among all the distributions, the Dagum and Gamma distributions are more suitable than other distributions, including log-normal and exponential distributions. Also, the amount of AIC from 2011 to 2021 for the Dagum distribution takes the lowest values compared to other distributions, which also shows the superiority of the Dagum distribution over other distributions. Also, the investigation of the trend and comparison of Gini coefficients in non-parametric and parametric modes indicates that along with the decreasing trend of the Gini coefficient in Isfahan province during the period under review, the values of the Gini coefficient in the parametric method based on the Kolmogorov-Smirnov statistic are more reliable. Therefore, it is suggested that those responsible for producing the income inequality index change their calculation basis from the non-parametric method to the parametric method, considering the high accuracy of the parametric methods.

According to Piketty’s point of view, the rate of income from wealth is always higher than the rate of economic growth, and the share of national income that belongs to capital is always more than the share of labor force. Therefore, inequality increases systematically and increasingly. The solution to this problem is to impose a maximum tax on wealth. Therefore, the tax on the components of wealth was imposed with the aim of reducing inequality. In Iran, this type of tax is collected from different components of wealth. Therefore, this research was conducted with the aim of investigating the impact of wealth tax on income distribution in Iran. For this purpose, a model was estimated in which the Gini coefficient was the dependent variable and the wealth tax and income tax were the independent variables along with the unemployment rate. Estimates were made using the time series data of 1991-2018 with the help of the Johansen-Juselius cointegration method. The results showed that there is a negative relationship between wealth tax and Gini coefficient. So that a one percent increase in wealth tax reduces inequality by 0.729 percent. The results showed that the speed of impact of wealth tax policies on income distribution is very slow, so that applying a change in wealth tax every year shows only 12% of the total impact on inequality.

Nowadays, income distribution and ways to adjust inequality in income distribution have been considered by many policymakers. The adverse social and economic consequences of increasing income inequality in society are not hidden from anyone, so it has led governments to prioritize improving income distribution. Inequality is defined as the difference between individuals in society in accessing economic resources, and various factors play a role in the unequal distribution of income. Government fiscal policies can certainly be effective in reducing inequality and income redistribution. In most developed countries, government distribution policies are driven by tax policies. In addition to being one of the most important sources of government revenue, tax is one of the most effective tools in improving revenue distribution. The purpose of this study is to investigate the effect of inheritance tax on income distribution during the period of winter 2006 to autumn 2018. According to the results of this study, inheritance tax and economic growth rate in the long term can reduce the Gini coefficient and improve income distribution. Moreover, rising government spending, rising inflation, rising population growth, and long-term unemployment can increase the Gini coefficient and make income distribution more unfair.

Inequality is one of the basic problems of countries. So, it is very important to examine how income is distributed in a society. Therefore, many studies have been conducted in this regard, but in general, in the studies that used the common methods of calculating inequality, the inequality between different groups is ignored in determining the total inequality, therefore, researchers pay less attention to between-group inequality. In this study, in addition to calculating the inequality in Iran's occupational groups, the inequality between occupational groups has also been evaluated with the ANOVA coefficients approach. Since the measurement of inequality is normalized with these coefficients. For this purpose, household cost-income data during 2013-2019 in urban areas of Iran have been used. The results show that inequality has increased in the most occupational groups, but, it has been almost constant in the "administrative and clerical workers" and "artisans and workers in related occupations", and "administrative and clerical workers" has the best income distribution status and the "legislators, high-ranking officials and managers" has the highest level of inequality. Also, the results indicate that the share of inequality between occupational groups was approximately 50% and close to the share of inequality within groups.

One of the most important indicators for evaluating any economic policy is to examine its distributive effects, so governments try to be aware of the redistribution of revenue and the possible effects of such policies in a quantitative and tangible manner before implementing the policy. Therefore, in the present study, for the first time in the Iranian economy, with quarterly data and generalized quantum method, the distributive effects of credit policies on income inequality in the provinces of the country were investigated. Based on this, the results showed that in the primary quantile (0.05), credit to the trade and services sector had a positive and significant effect on income inequality and also credits to agriculture, housing, industry and mining had a negative and significant effect on income inequality in the provinces. In the Middle Quantile (Quantile 0.5), lending to the agricultural and commercial sectors had a negative effect, and lending to the housing, services, industry, and mining sectors had a positive effect on income inequality. Also in the upper quantum (Quantile 0.95), facilities granted to the agricultural, commercial, industrial and mining sectors had a negative effect, as well as loans to the housing and services sectors had a positive effect on inequality in the provinces of Iran. Regarding the effect of human capital and economic growth on income inequality, the results showed that in the provinces of the country, increasing economic growth and human capital due to creating more opportunities to increase income, has reduced income inequality. According to the research results, in all quantiles, the increase in the effect of inflation and capital stock has caused more income inequality in the provinces.

The main purpose of this study is to investigate the effect of financial development dimensions on income inequality. Studies show that domestic research on financial development usually uses a monetary index. However, the financial development index is a multidimensional concept that includes both monetary indicators and capital market components. Accordingly, in this study, using the data of companies listed on the Tehran Stock Exchange and combining it with provincial monetary statistics, various indicators of financial development, which include monetary and financial components, are created and distributed over income has been tested. For this purpose, panel data in the period 2010 to 2018 and the EGLS method (cross-sectional weight data based on fixed effects) is used. Indicators of financial access, financial depth, financial instability and financial liberalization have been used as dimensions of financial development. The variables of per capita income, inflation, free trade, geographical distance and government size have also been used as control variables. The results show that the variables of ratio of private credit to production, facilities granted to the private sector and the number of privately owned industrial workshops have a positive effect on the Gini coefficient and increase income inequality. Long-term changes in stock price fluctuations of selected companies have a negative impact and improve the distribution of income. The per capita production variable, the ratio of the province’s budget to production and inflation increases income inequality and the ratio of total exports and imports to production and the per capita distance to the center reduce it.

The study analyzed inequality in Iran's provinces using the Atkinson index, Zanga index, and Gini coefficient based on occupational groups. Reducing inequality is an essential economic and social issue, and regional disparities impede growth and development of any region. Focusing on each province's regional economy can lead to better development planning. Therefore, the calculation of inequality is required. Considering that the Gini coefficient and the Zanga index are statistical tools for measuring inequality and the Atkinson index is derived from the social welfare of individuals; therefore, the effects of income distribution in society in two dimensions have been measured. For this purpose, the study used cost and income data of urban households in Iran from 2013-2019. The Location Quotient approach is used to determine each province's target occupational group to understand regional inequality better and improve it as much as possible. Accordingly, the "managers" and "employees" have a better income distribution than other occupational groups in most provinces. On the other hand, compared to other occupational groups, in most provinces, the "operators and assemblers of machinery, and drivers" and "simple workers" have a more challenging situation. Thus, they should prioritize the target occupational groups to improve income distribution.

Improper distribution of income is one of the factors that weakens economic justice and affects poverty, which is influenced by the state of macroeconomic variables. According to the theoretical literature of the subject, economic sanctions are among the components that affect the economic activity of individuals, households and companies. This research has been written with the aim of investigating the effect of sanctions on the Gini coefficient and the income of the quintiles in Iran. The investigated time period is between the years 1991 and 2019, and the autoregressive interval distribution model (ARDL) was used to analyze the data. The independent variables of the research include real per capita production, real cash subsidy, sanctions index and sanctions index after the JCPOA. The research results show that according to the economic structure of the country in the past years, sanctions have increased the Gini coefficient in the long term. Also, real per capita production and real cash subsidy have been effective in improving the Gini coefficient. The analysis of income quintiles shows that real per capita production is effective in improving their income. The effect of the real cash subsidy was significant and positive only in the first quintile and did not have a significant effect in the other quintiles.

Fair distribution of income in countries is one of the development indicators of each country. Therefore, it is necessary to adopt appropriate policies for its improvement in order to identify the effect of effective factors on it. In this study, the importance of determining the optimal inflation rate with the aim of minimizing income inequality by using the randomized dynamic equilibrium method in Iran between 1997 and 2020 is discussed. The results of the research indicate that the inflation rate is optimized to be 3.74 percent, so that the increase or decrease of inflation of this amount will increase income inequality. Therefore, the government should target its inflation rate with the aim of attaining the minimum inequality, so that the probability of fluctuations (increase or decrease) in inequality will exist.

This paper investigates the effect of the banking structure on income inequality in Iran. For the banking structure, three indicators of assets, credits, and foreign sector have been calculated and a regression model has been estimated with the Auto-Regressive Distributed Lags approach for the period of 1979-2016. The findings reveal that Iran's undeveloped financial system, which is relationship-oriented like other bank-based financial systems, has often had a counter-development function. So that among the three investigated indicators, the effect of two indicators of the structure of assets and credits of the banking system on income inequality is significantly positive and has caused an increase in income inequality. In contrast, the effect of the structure of the international transactions index of the banking system is significantly negative, which supports the positive effects of the international integration of Iran's financial system. In this way, the increase in international banking transactions can strengthen the development function of “relationship orientation” in the banking system and subsequently reduce income inequality. In contrast, the effect of the structure of the international transactions index of the banking system is significantly negative, which supports the positive effects of the international integration of Iran's financial system. In this way, the increase in international banking transactions can strengthen the development function of “relationship orientation” in the banking system and subsequently reduce income inequality.

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.

Banking tension is one of the major problems in developed and developing countries nowadays. Therefore, researchers and policymakers pay decisive attention to the probability of banking tension. Meanwhile, the debate over the impact of income distribution on the banking sector and the occurrence of the banking crisis has escalated, so that in recent years, it seems that income inequality can be the cause of financial crises. Accordingly, the present study has designed a stress index for the banking system of Iran's economy. To study the effect of income inequality on the probability of banking tensions in Iran, quarterly data 1999:1-2020:4 and Markov rotational model were used. The results showed that the banking system in Iran's economy had been in a state of high tension for some periods. Finally, by estimating the Probit model, it was found that with the unequal distribution of income in Iran's economy, the probability of tension in the banking sector increases. In addition, inflation and real interest rate have a positive effect, and economic growth has a negative effect, on the likelihood of banking tension.

One of the most important challenges for policies concerning economic freedom is its inequalities effects. Mnay researches have examined the various channels and mechanisms in order to find the components of economic freedom which influences the distribution of income. Previous  studies on the relation between economic freedom and income inequality have produced varied results. The paper examines this relationship for two groups of countries based on high (18 country) and low (16 country) degrees of economic freedom. Using panel date during 2004-2018 with quintile regression, results showed that in both groups with different levels of economic freedom, increasing economic freedom at low and middle levels of income inequality, had improved income inequality, but increasing economic freedom in high levels of income inequality did not show any meaningful effect on income inequality. The implication of this research findings for Iran economy showed that when Gini index is lower than 41.4%, increasing economic freedom improves income inequality, while it is meaningless when Gini index is between 41.4 – 48.4%.