caerCentral Asian Economic ReviewCentral Asian Economic Review2789-43982789-4401Университет Нархоз10.52821/2789-4401-2025-1-75-88caer-1408Research ArticleНАЦИОНАЛЬНАЯ ЭКОНОМИКА: ВЕКТОРЫ РАЗВИТИЯNATIONAL ECONOMY: DEVELOPMENT VECTORSМногофакторная оценка бедности в регионах КазахстанаMulti Factor Assessment of Poverty in the Regions of Kazakhstanhttps://orcid.org/0000-0002-4292-7408АдильхановО. Ш.AdilkhanovO. Sh.

г. Алматы.

Almaty.

olzhasadilkhan1@gmail.comhttps://orcid.org/0000-0001-9291-6144ТурдалинаШ. К.TurdalinaSh. K.

г. Алматы.

Almaty.

shturdalina@gmail.comhttps://orcid.org/0000-0002-0550-5986НареноваА. Н.NarenovaA. N.

город Тараз.

Taraz.

aiman1967@mail.ruИнститут экономики КН МОН РККазахстанInstitute of economics of the Ministry of education and Science of The Republic of KazakhstanKazakhstanТаразский региональный университет им. М. Х. ДулатиКазахстанTaraz regional university named after M. H. DulatiKazakhstan202520052025017588Copyright © Адильханов О.Ш., Турдалина Ш.К., Наренова А.Н., 20252025Адильханов О.Ш., Турдалина Ш.К., Наренова А.Н.Adilkhanov O.S., Turdalina S.K., Narenova A.N.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://caer.narxoz.kz/jour/article/view/1408Цель исследования

Цель исследования: недостаточно оценить уровень бедности населения в регионах только в пределах прожиточного минимума и не отражает реальную ситуацию. Поэтому цель данной статьи-изучить уровень бедности через многофакторную оценку, исходя из нескольких аспектов в регионах, и дать рекомендации по борьбе с бедностью с учетом особенностей каждого региона.

Методология

Методология: в данном исследовании мы изучаем и оцениваем уровень бедности в регионах Казахстана на основе методологии многомерной оценки. Это означает, что методология индексной оценки также учитывает нефинансовые данные, что повышает достоверность оценки. Мы составили рейтинг регионов по уровню бедности и разделили его на 5 групп. Все статистические данные получены из данных Национального бюро статистики РК.

Уникальность/ценность исследования: результаты этого исследования, включающие данные о 6 факторах (смертность, образование, безработица, ВРП на душу населения), предлагают глубокое и комплексное объяснение уровня бедности в регионах по сравнению с традиционными методиками, основанными исключительно на денежных данных.

В результате исследования было рассчитано и проанализировано значение показателя многофакторного индекса бедности (MPI) по регионам Казахстана. Значение индекса указывает на более низкий уровень бедности в регионе по мере его роста. Самый высокий MPI составил в городах Атырау (0,611), Караганде (0,661), Алматы (0,751) и Астане (0,759), а самый низкий-в Жетысу (0,233) Северо-Казахстанской (0,213) и Туркестанской области (0,146). Даны рекомендации, соответствующие особенностям каждого региона.

Purpose of the study

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

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.

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The authors declare that there are no conflicts of interest present.