Elham Heshmati Dayari; Sohrab Delangizan; Mohammad Sharif Karimi
Abstract
Poverty is one of the major problems of human societies that causes many social harms. Therefore, policymakers and economic development planners always aim to eliminate it. In addition, economic growth is one of the important and influential variables of macroeconomics. Therefore, examining the ...
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Poverty is one of the major problems of human societies that causes many social harms. Therefore, policymakers and economic development planners always aim to eliminate it. In addition, economic growth is one of the important and influential variables of macroeconomics. Therefore, examining the impact of economic growth on poverty through the lens of growth and distribution effects offers valuable insights for policymaking and poverty reduction strategies. In this study, we use the log-normal curve approach introduced by Bourguignon to estimate the growth effect on poverty utilizing data from urban households in Iran over the period 2013-2019. The results indicate that only in the one-year period of 2015-2016, the triangle of poverty, growth, and inequality has worked well and the growth has been pro-poor.
Furthermore, provincial-level findings unveil discernible patterns:
(a) In provinces experiencing positive growth, urban areas in Qom exhibit pro-poor growth, while those in Alborz, Golestan, and Hamedan provinces observe a trickle-down effect. Meanwhile, in other provinces, growth demonstrates an immiserizing trend.
(b) In provinces with negative growth, only urban areas in Markazi province observe a reduction in poverty. However, due to the lack of growth, it cannot be concluded that this province has had pro-poor growth. In the urban areas of other provinces in this group, the situation has been unfavourable for the poor.
Seyed Masih Molana; Abbass Najafizadeh; Ahmad Sarlak; Gholam Ali Haji
Abstract
The purpose of this paper is to examine the effects of financial development on poverty in Iran. In this study, we used the indicators of the stock market and the money market to examine the effect of financial development on poverty. In order to test the relationship between variables, a smoothing transmission ...
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The purpose of this paper is to examine the effects of financial development on poverty in Iran. In this study, we used the indicators of the stock market and the money market to examine the effect of financial development on poverty. In order to test the relationship between variables, a smoothing transmission regression model was used for the period 1989-2016 The results of the model estimation, while confirming the nonlinear impact of financial development on poverty, indicate that Financial development indicators affect the poverty of Iran in the form of a dual regime. So that in the domains of economic growth less and more than 2. 9 percent the impact of financial development indicators on poverty is different and significant. The results indicate that the financial development variable in the banking sector has a negative and significant effect on poverty. In other words, an improvement in the financial development situation in the banking sector has led to a reduction in poverty in the community, But financial development in the capital market has had fewer effects on poverty reduction than financial development in the monetary sector.
soheila parvin; mahnoosh abdollah milani; Vahid Rezaei
Abstract
Supportive policies that lead to significant relative price changes have widespread impact on income distribution that cannot be considered by adjusting expenditures with the consumer price index. While households have different consumption patterns in different income deciles, the Consumer Price Index ...
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Supportive policies that lead to significant relative price changes have widespread impact on income distribution that cannot be considered by adjusting expenditures with the consumer price index. While households have different consumption patterns in different income deciles, the Consumer Price Index (CPI) measures changes in prices based on the pattern of consumption in the average-income households. To overcome the issue, this paper examines the impact of relative price changes on distribution of real income (real expenditure) based on the HSPI Index, which is calculated using the weights of goods in each household’s basket. The period under study is 2007-2015. To measure inequality, the Gini coefficient is used based on Ogwang method. The results show that in periods that price of foods increase more than other categories, income inequality is the more when calculated, respectively, based on Household Specific Price Index (HSPI) and Consumer Price Index (CPI) than Gini coefficient based on nominal expenditures. Because of higher share of foods in consumption basket of low-income households, higher relative price of this category leads to worsening of income distribution and loss of welfare for low-income class.
