1- , pam.afshar@uok.ac.ir
Abstract: (34 Views)
Introduction
Poverty has become one of the major global challenges faced by most Asian countries. Although they have been able to achieve technology and increase productivity in the fields of production in recent decades, a high percentage of their society still lives in poverty. The current concern about the increase in chronic poverty in many countries of the developing world requires a deeper understanding not only of the number of poor people, but also of the nature of poverty. This issue has a widespread and devastating impact on the lives of millions of people around the world and is important because its effects go beyond the economic sphere and extend to the social, political and cultural spheres. Poverty reduction is one of the fundamental economic and social challenges in global societies. Therefore, it is very important to examine the factors affecting poverty reduction One of the ways to reduce poverty is the existence of institutional foundations and institutions. Since the second half of the twentieth century, numerous studies have been conducted on the role of institutional and political approaches in poverty reduction. According to these studies, the existence of strong institutions and institutions attracts investment, improves technology and employment, and consequently increases production and economic growth. Therefore, the existence of institutions is the main factor in the growth and development of countries. The existence of institutions and institutions can explain the differences in welfare, growth and development and economic well-being between countries. By creating a stable structure in the economy and society, institutions reduce risk and uncertainty, and thus reduce transaction costs. In short, understanding the interaction between institutional factors, spatial dynamics and poverty reduction is essential for designing effective policies and interventions. The aim of this study is to answer the question of how institutional factors and economic growth can reduce poverty in selected Asian countries?
Method
In this research, the research method is of the spatial analytical and econometric type. The data of this study were collected from the World Bank and the Macro Trends website. In estimating the spatial panel data model, it is necessary to mention a few points. First, the spatial effects in the calculations are factors that are related to the location of the variables. The first factor is the spatial dependence or autocorrelation between the observations of the sample data at different points and the second factor is the spatial structure or heterogeneity created by the model relations for moving on the plane. The coordinates change with the sample data. To detect the spatiality of the data, it is necessary to perform spatial detection tests. In this research, a weight matrix was formed for countries that have geographical connections. The weight matrix is of the adjacency type. The adjacency or neighborhood matrix was formed for the 15 countries studied. In this way, the value of one is considered for neighboring or neighboring countries and the value of zero for non-adjacent countries. Therefore, the adjacency matrix is a symmetric 15x15 matrix with a main diameter of zero and elements outside the main diameter of zero and one. Stata software is used to estimate the model. In panel data with spatial characteristics, fixed and random effects can be considered for the model and the best model was selected from SAR, SDM, SAC, SEM and GSPRE models using the spatial Hausman test, of which the spatial autocorrelation (SAC) model was selected.
Conclusion
Based on the spatial effect of the disturbance components or dependent variables, the results of the spatial autocorrelation model (SAC) show that economic growth and the quality of institutional factors have a positive effect on poverty reduction. Also, increasing domestic investment also helps to reduce poverty. The spatial effects of poverty show that increasing poverty in a country can also cause poverty in neighboring countries. In general, economic growth can increase welfare and create new opportunities. Policies that support economic growth, such as financial development and economic stability, provide a favorable environment for poor households to increase their production and income. The research results show that institutional development and better quality of institutions (such as corruption control, government stability and democracy) have a positive effect on poverty reduction. Better institutional quality improves resource distribution and poverty reduction in the long run. Strong and reliable institutions can increase investment attraction and facilitate international trade. It also confirms the positive effect of domestic investment on poverty reduction. Increased investment increases production, income and welfare and reduces unemployment. Spillover effects of domestic investment can facilitate the transfer of knowledge and technology.
Poverty has become one of the major global challenges faced by most Asian countries. Although they have been able to achieve technology and increase productivity in the fields of production in recent decades, a high percentage of their society still lives in poverty. The current concern about the increase in chronic poverty in many countries of the developing world requires a deeper understanding not only of the number of poor people, but also of the nature of poverty. This issue has a widespread and devastating impact on the lives of millions of people around the world and is important because its effects go beyond the economic sphere and extend to the social, political and cultural spheres. Poverty reduction is one of the fundamental economic and social challenges in global societies. Therefore, it is very important to examine the factors affecting poverty reduction One of the ways to reduce poverty is the existence of institutional foundations and institutions. Since the second half of the twentieth century, numerous studies have been conducted on the role of institutional and political approaches in poverty reduction. According to these studies, the existence of strong institutions and institutions attracts investment, improves technology and employment, and consequently increases production and economic growth. Therefore, the existence of institutions is the main factor in the growth and development of countries. The existence of institutions and institutions can explain the differences in welfare, growth and development and economic well-being between countries. By creating a stable structure in the economy and society, institutions reduce risk and uncertainty, and thus reduce transaction costs. In short, understanding the interaction between institutional factors, spatial dynamics and poverty reduction is essential for designing effective policies and interventions. The aim of this study is to answer the question of how institutional factors and economic growth can reduce poverty in selected Asian countries?
Method
In this research, the research method is of the spatial analytical and econometric type. The data of this study were collected from the World Bank and the Macro Trends website. In estimating the spatial panel data model, it is necessary to mention a few points. First, the spatial effects in the calculations are factors that are related to the location of the variables. The first factor is the spatial dependence or autocorrelation between the observations of the sample data at different points and the second factor is the spatial structure or heterogeneity created by the model relations for moving on the plane. The coordinates change with the sample data. To detect the spatiality of the data, it is necessary to perform spatial detection tests. In this research, a weight matrix was formed for countries that have geographical connections. The weight matrix is of the adjacency type. The adjacency or neighborhood matrix was formed for the 15 countries studied. In this way, the value of one is considered for neighboring or neighboring countries and the value of zero for non-adjacent countries. Therefore, the adjacency matrix is a symmetric 15x15 matrix with a main diameter of zero and elements outside the main diameter of zero and one. Stata software is used to estimate the model. In panel data with spatial characteristics, fixed and random effects can be considered for the model and the best model was selected from SAR, SDM, SAC, SEM and GSPRE models using the spatial Hausman test, of which the spatial autocorrelation (SAC) model was selected.
Conclusion
Based on the spatial effect of the disturbance components or dependent variables, the results of the spatial autocorrelation model (SAC) show that economic growth and the quality of institutional factors have a positive effect on poverty reduction. Also, increasing domestic investment also helps to reduce poverty. The spatial effects of poverty show that increasing poverty in a country can also cause poverty in neighboring countries. In general, economic growth can increase welfare and create new opportunities. Policies that support economic growth, such as financial development and economic stability, provide a favorable environment for poor households to increase their production and income. The research results show that institutional development and better quality of institutions (such as corruption control, government stability and democracy) have a positive effect on poverty reduction. Better institutional quality improves resource distribution and poverty reduction in the long run. Strong and reliable institutions can increase investment attraction and facilitate international trade. It also confirms the positive effect of domestic investment on poverty reduction. Increased investment increases production, income and welfare and reduces unemployment. Spillover effects of domestic investment can facilitate the transfer of knowledge and technology.
Type of Study: Applicable |
Subject:
رشد و توسعه و سیاست های کلان
Received: 2025/01/9 | Accepted: 2025/10/8
Received: 2025/01/9 | Accepted: 2025/10/8
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