Multi Factor Assessment of Poverty in the Regions of Kazakhstan

Purpose of the study: it is not enough to assess the level of poverty of the population in the regions only with the lowest subsistence minimum, and it does not reflect the real situation. Therefore, the purpose of this article is to study the level of poverty through a multifactorial assessment based on several aspects in the regions and to make recommendations on combating poverty taking into account the characteristics of each region. Methodology: in this study, we study and assess the level of poverty in the regions of Kazakhstan based on the methodology of multidimensional assessment. This is due to the fact that the index assessment methodology also takes into account non - financial data-increases the reliability of the assessment. We compiled a rating of regions by poverty level and divided it into 5 groups. All statistical data were taken from the data of the National Bureau of statistics of the Republic of Kazakhstan. Originality / value of the study: the result of this study, which includes data on 6 factors (mortality, education, unemployment, GRP per capita), provides a deeper and more comprehensive explanation of the level of poverty in the regions compared to traditional methodologies based only on monetary data. As a result of the study , the value of the multi-factor poverty index (MPI) for the regions of Kazakhstan was calculated and analyzed. The higher the index value, the lower the poverty rate in the region. The highest MPI was in Atyrau (0.611), Karaganda (0.661), Almaty (0.751) and Astana (0.759), and the lowest was Zhetysu (0.233) in North Kazakhstan (0.213) and Turkestan region (0.146). Recommendations were given in accordance with the specifics of each region.

Authors

Institutions

Publication Details

Journal
Central Asian Economic Review
Published
2025-05-20
DOI
https://doi.org/10.52821/2789-4401-2025-1-75-88
Primary Topic
Income, Poverty, and Inequality
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi Factor Assessment of Poverty in the Regions of Kazakhstan

Olzhas Adilkhanov, A.N. Narenova, Sharbanu Turdalina
Central Asian Economic Review
Income, Poverty, and Inequality
article

Multi Factor Assessment of Poverty in the Regions of Kazakhstan

Olzhas Adilkhanov, A.N. Narenova, Sharbanu Turdalina
article en

Abstract

Purpose of the study: it is not enough to assess the level of poverty of the population in the regions only with the lowest subsistence minimum, and it does not reflect the real situation. Therefore, the purpose of this article is to study the level of poverty through a multifactorial assessment based on several aspects in the regions and to make recommendations on combating poverty taking into account the characteristics of each region. Methodology: in this study, we study and assess the level of poverty in the regions of Kazakhstan based on the methodology of multidimensional assessment. This is due to the fact that the index assessment methodology also takes into account non - financial data-increases the reliability of the assessment. We compiled a rating of regions by poverty level and divided it into 5 groups. All statistical data were taken from the data of the National Bureau of statistics of the Republic of Kazakhstan. Originality / value of the study: the result of this study, which includes data on 6 factors (mortality, education, unemployment, GRP per capita), provides a deeper and more comprehensive explanation of the level of poverty in the regions compared to traditional methodologies based only on monetary data. As a result of the study , the value of the multi-factor poverty index (MPI) for the regions of Kazakhstan was calculated and analyzed. The higher the index value, the lower the poverty rate in the region. The highest MPI was in Atyrau (0.611), Karaganda (0.661), Almaty (0.751) and Astana (0.759), and the lowest was Zhetysu (0.233) in North Kazakhstan (0.213) and Turkestan region (0.146). Recommendations were given in accordance with the specifics of each region.

Central Asian Economic Review(1)
M. Kh Dulati Taraz State University (KZ), Ministry of Education and Science of the Republic of Kazakhstan (KZ)
Openalex Percentile: Top 85%
Income, Poverty, and Inequality
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Multi Factor Assessment of Poverty in the Regions of Kazakhstan — Olzhas Adilkhanov, A.N. Narenova, et al. · Central Asian Economic Review (2025) | TGRS Research Map | TGRS