Poverty in the Kazakhstan Regions: Assessing the Influence of Key Indicators on Differences in Its Level

Author:

Chulanova Zaure1,Brimbetova Nursaule1,Satybaldin Azimkhan1,Dzhanegizova Aisulu2

Affiliation:

1. Institute of Economics of SC MSHE RK, Almaty 050010, Kazakhstan

2. School of Business and Management, Qainar University, Almaty 050026, Kazakhstan

Abstract

Modern Kazakhstan is characterized by significant regional socioeconomic differences due to climatic conditions, natural resources, migration, and regional specialization. The persistence of these regional differences can lead to increased stratification of society, social tension, and disruption of the country’s economic stability. These issues have intensified under the influence of Industry 4.0 trends and geopolitical processes in the region. Among the various sources of social inequality, we have chosen to focus on the problem of population poverty in our study. Addressing this problem is crucial for taking a comprehensive approach to addressing regional disparities in social development. The purpose of our study is to determine and assess the features of poverty in the regions of Kazakhstan. Our research methodology is based on evaluating the integral poverty index using four indicators: the share of the population with incomes below the subsistence level, the population under 60 years of age, youth aged 15–17 who are not working or studying, and the unemployment rate in the regions of Kazakhstan. Based on these indicators, we grouped the regions according to their poverty level, identified and compared regional differences, and identified the most vulnerable areas in need of intervention. This approach has enabled us to propose appropriate instruments of state support for different territories and promote inclusive regional development to overcome social imbalances.

Funder

Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan

Publisher

MDPI AG

Reference55 articles.

1. UNECE (2017). Handbook on Measuring Poverty United Nations, UNECE.

2. Ravallion, M. (1992). Poverty Comparisons: A Guide to Concepts and Methods, Living Standards Measurement Study, World Bank. Working Paper 88.

3. MacInnes, T., Tinson, A., Gaffney, D., Horgan, G., and Baumberg, B. (2014). Disability, Long Term Conditions and Poverty, New Policy Institute. Available online: https://www.npi.org.uk/files/7814/0490/1005/Disability_long_term_conditions_and_poverty.pdf.

4. Webber, D., and Tonkin, R.P. (2023, December 02). Statistical Matching of EU-SILC and the Household Budget Survey to Compare Poverty Estimates Using Income, Expenditure and Material Deprivation, Eurostat Methodologies and Working Paper, Available online: http://ec.europa.eu/eurostat/documents/3888793/5857145/KS-RA-13-007-EN.PDF/37d4ffcc-e9fc-42bc-8d4f-fc89c65ff6b1.

5. Smith, A. (1776). An Inquiry into the Nature and Causes of the Wealth of Nations, History of Economic Thought Books, McMaster University Archive for the History of Economic Thought.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3