评估哈萨克斯坦地区收入分配和教育的不平等

IF 0.5 Q3 AREA STUDIES Ekonomika Regiona-Economy of Region Pub Date : 2023-01-01 DOI:10.17059/ekon.reg.2023-3-10
A. A. Kireyeva, A. S. Nurbatsin, M. M. Khalitova
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引用次数: 0

摘要

在当前社会条件下,与社会收入分配不均相关的不平等问题是一个重要的研究问题。因此,有必要对哈萨克斯坦等发展中国家收入分配的区域差异程度进行研究。该研究旨在评估收入、社会支出以及哈萨克斯坦不同地区之间教育分配和教育成本不平等的影响。与该领域以前的科学论文不同,本文使用了哈萨克斯坦17个地区人力资本和收入分布的面板数据。本研究的方法框架以经济不平等的统计评估方法为代表,如分化指标,反映社会和经济不平等的程度。根据提出的方法,我们分析了教育水平的差异,并获得了哈萨克斯坦各地区人口教育分布的标准差数据。根据这些数据,不平等随着时间的推移而变化,并影响不同地区之间教育和教育成本的分布。卡拉干达和东哈萨克斯坦地区的收入不平等程度略高;其他地区的收入分配更为公平,基尼系数约为0.05。回归规范显示,奇姆肯特、阿拉木图和阿斯塔纳等特大城市的影响力更大,而曼吉斯陶和北哈萨克斯坦地区的影响力较小。获得的结果强调了确保受教育机会对于减少地区差距和实现收入分配稳定的重要性。
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Assessing Inequality of Income Distribution and Education in the Regions of Kazakhstan
In the current social conditions, the problems of inequality associated with the uneven distribution of income in society is an important research problem. Thus, it is necessary to investigate the level of regional differences in income distribution in developing countries like Kazakhstan. The study aims to assess the influence of income, social expenditures, and inequality in the distribution of education and education costs between different regions of Kazakhstan. Unlike previous scientific papers in this area, this paper uses panel data on the distribution of human capital and income in 17 regions of Kazakhstan. The methodological framework of the research is represented by methods of statistical assessment of economic inequality, such as the indicator of differentiation, reflecting the degree of social and economic inequality. Based on the proposed methodology, we analysed the disparity in the level of education and obtained data on the standard deviations of the distribution of education for the population of the regions of Kazakhstan. According to these data, inequality changes over time and affects the distribution of education and education costs between different areas. Income inequality is slightly higher in Karaganda and East-Kazakhstan regions; other areas have a more equitable income distribution by about 0.05 Gini coefficients. The regression specification shows that large megacities like Shymkent, Almaty, and Astana have a more significant influence, while Mangystau and North-Kazakhstan regions have minor power. The obtained results emphasise the importance ensuring access to education for reducing regional disparities and achieving stability in income distribution.
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来源期刊
CiteScore
1.80
自引率
20.00%
发文量
23
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