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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">agroprob</journal-id><journal-title-group><journal-title xml:lang="ru">Проблемы агрорынка</journal-title><trans-title-group xml:lang="en"><trans-title>Problems of AgriMarket</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1817-728X</issn><issn pub-type="epub">2708-9991</issn><publisher><publisher-name>Казахский научно-исследовательский институт экономики агропромышленного комплекса и развития села</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.46666/2026-3.2708-9991.01</article-id><article-id custom-type="elpub" pub-id-type="custom">agroprob-2594</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Аграрная политика: механизм реализации</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Agricultural policy: mechanism of implementation</subject></subj-group></article-categories><title-group><article-title>АПК сельских территорий: процессы кластеризации</article-title><trans-title-group xml:lang="en"><trans-title>Agro-Industrial Complex (AIC) of Rural Areas: Clustering Processes</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3414-1787</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сапарова</surname><given-names>Г. К.</given-names></name><name name-style="western" xml:lang="en"><surname>Saparova</surname><given-names>G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Сапарова Гульнар Каримовна – доктор экономических наук, профессор; профессор кафедры «Бизнес-администрирования»</p><p>010000 ул. Ыкылас Дукенулы, 29, г. Астана, Казахстан</p></bio><bio xml:lang="en"><p>Saparova Gulnar; Doctor of Economic Sciences, Professor; Professor of the Department of Business Administration</p><p>010000 Ykylas Dukenuly str., 29, Astana</p></bio><email xlink:type="simple">saparova_g.k@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0002-0775-6727</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Тлеулин</surname><given-names>Ч. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Tleulin</surname><given-names>Ch.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Тлеулин Чингиз Маратович; докторант Ph.D; кафедра «Бизнес-администрирования»</p><p>010000 ул. Ыкылас Дукенулы, 29, г. Астана</p></bio><bio xml:lang="en"><p>Tleulin Chingiz; Ph.D student of the Department of Business Administration</p><p>010000 Ykylas Dukenuly str., 29, Astana</p></bio><email xlink:type="simple">Tleulin_chingiz@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0009-6646-7950</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ткачева</surname><given-names>А. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Tkacheva</surname><given-names>A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ткачева Анастасия Игоревна; докторант Ph.D; кафедра «Бизнес-администрирования»</p><p>010000 ул. Ыкылас Дукенулы, 29, г. Астана, Казахстан</p></bio><bio xml:lang="en"><p>Tkacheva Anastassiya; Ph.D student of the Department of Business Administration</p><p>010000 Ykylas Dukenuly str., 29, Astana</p></bio><email xlink:type="simple">nastya.tk98@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Университет "Туран-Астана"</institution><country>Казахстан</country></aff><aff xml:lang="en"><institution>«Turan-Astana» University</institution><country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>22</day><month>10</month><year>2026</year></pub-date><volume>0</volume><issue>3</issue><fpage>14</fpage><lpage>24</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Сапарова Г.К., Тлеулин Ч.М., Ткачева А.И., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Сапарова Г.К., Тлеулин Ч.М., Ткачева А.И.</copyright-holder><copyright-holder xml:lang="en">Saparova G., Tleulin C., Tkacheva A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.jpra-kazniiapk.kz/jour/article/view/2594">https://www.jpra-kazniiapk.kz/jour/article/view/2594</self-uri><abstract><p>Цель – проанализировать влияние кластерных механизмов, государственной поддержки, инфраструктурного обеспечения и цифровизации на модернизацию агропромышленного комплекса и развитие сельских территорий Казахстана в условиях кластеризации экономики. Методы – экономико-статистическое исследование для оценки современного состояния аграрной сферы сельских районов; производственная функция Кобба-Дугласа – при рассмотрении воздействия капитала, трудовых ресурсов и бюджетных ассигнований на объем выпуска продукции АПК; кластерный анализ – для группировки сельских административных единиц по уровню технологического и инфраструктурного инновационного обновления, модель ARIMA и логистическая регрессионная – при прогнозировании динамики преобразования аграрного сектора до 2030 г., мониторинг действия институциональных факторов на трансформацию сельской местности. Результаты – проведена группировка сельских населенных пунктов с учетом специфики условий хозяйствования. Построены эконометрические модели, на основе которых выявлены различия в эффективности функционирования агропромышленного производства, определены приоритеты бюджетного финансирования и рассчитан прогноз основных финансово-экономических показателей отрасли. Установлено, что совершенствование агропромышленных кластеров, процесса переработки сельскохозяйственных продуктов и кооперации способствует снижению издержек, наращиванию производительности труда и укреплению экономических связей. Выводы – обоснована необходимость дальнейшего продвижения кластерного подхода, повышения результативности механизмов государственного стимулирования, модернизации сельской инфраструктуры и внедрения цифровых технологий как ключевых направлений роста конкурентоспособности аграрного сектора республики, обеспечения устойчивого функционирования сельских поселений и улучшения качества жизни сельских жителей. Кластерные образования являются перспективной тенденцией, способствуют созданию новых рабочих мест в производстве и глубокой переработке с увеличением числа занятых среди сельского населения, придадут новый импульс пространственной организации, открывая путь интеграционным формам в усилении позиций на казахстанском и международном рынках.</p></abstract><trans-abstract xml:lang="en"><p>Objective – to analyze the impact of cluster mechanisms, state support, infrastructure provision, and digitalization on the modernization of the agro-industrial complex and the development of rural areas in Kazakhstan under conditions of economic clustering. Methods – economic and statistical research to assess the current state of the agricultural sector in rural areas; the Cobb-Douglas production function to examine the impact of capital, labor resources, and budget allocations on the output of AIC products; cluster analysis to group rural administrative units by the level of technological and infrastructural innovative renewal; the ARIMA model and logistic regression to forecast the dynamics of agricultural sector transformation up to 2030 and monitor the effect of institutional factors on rural transformation. Results – rural settlements were grouped taking into account the specific operating conditions. Econometric models were built, revealing differences in the performance efficiency of agro-industrial production, determining budget financing priorities, and calculating the forecast of the sector’s main financial and economic indicators. It was established that the improvement of agro-industrial clusters, agricultural product processing, and cooperation contributes to reducing costs, increasing labor productivity, and strengthening economic ties. Conclusions – the necessity of further promoting the cluster approach, increasing the effectiveness of state incentive mechanisms, modernizing rural infrastructure, and introducing digital technologies was substantiated as key directions for growing the competitiveness of the republic’s agricultural sector, ensuring the sustainable functioning of rural settlements, and improving the quality of life of rural residents. Cluster formations are a promising trend that contributes to creating new jobs in production and deep processing with an increase in the number of employed among the rural population; they will give a new impulse to spatial organization, opening the way for integration forms in strengthening positions in the Kazakhstani and international markets.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>сельские территории</kwd><kwd>агропромышленный кластер</kwd><kwd>цифровизация</kwd><kwd>экономическое моделирование</kwd><kwd>Smart Village</kwd><kwd>сельскохозяйственная кооперация</kwd><kwd>государственная поддержка</kwd><kwd>конкурентоспособность</kwd></kwd-group><kwd-group xml:lang="en"><kwd>rural areas</kwd><kwd>agro-industrial cluster</kwd><kwd>digitalization</kwd><kwd>economic modeling</kwd><kwd>Smart Village</kwd><kwd>agricultural cooperation</kwd><kwd>state support</kwd><kwd>competitiveness</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Продовольственная и сельскохозяйственная организация ООН (FAO). 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