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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">10.46666/2026-3.2708-9991.03</article-id><article-id custom-type="elpub" pub-id-type="custom">agroprob-2587</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>Технологическая модернизация в аграрном секторе Республики Казахстан: ключевые факторы и направления реализации</article-title><trans-title-group xml:lang="en"><trans-title>Technological Modernization in the Agricultural Sector of the Republic of Kazakhstan: Key Factors and Implementation Directions</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6373-7358</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ниязбаева</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Niyazbayeva</surname><given-names>A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ниязбаева Айгуль Амангельдыевна; Ph.D; кафедра «Государственное управление, финансы и маркетинг»</p><p>030000 пр. Алии Молдагуловой, 34, г.Актобе, Казахстан</p></bio><bio xml:lang="en"><p>Niyazbayeva Aigul; Ph.D; Department of Public Administration, Finance and Marketing</p><p>030000 A. Moldagulova Ave., 34, Aktobe, Kazakhstan</p></bio><email xlink:type="simple">aniyazbayeva@zhubanov.edu.kz</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7598-6298</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Adilchaev</surname><given-names>R.</given-names></name><name name-style="western" xml:lang="en"><surname>Adilchaev</surname><given-names>R.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Adilchaev Rustem; Ph.D; кафедра «Экономика, туризм и управление бизнесом»</p><p>230112 ул. Ч.Абдирова, 1, г. Нукус, Узбекистан</p></bio><bio xml:lang="en"><p>Adilchaev Rustem; Ph.D; Department of Economics, Tourism and Business Management</p><p>230112 Ch.Abdirov str., 1, Nukus, Uzbekistan</p></bio><email xlink:type="simple">rustemadilchaev@gmail.com</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Актюбинский региональный университет имени К. Жубанова</institution><country>Казахстан</country></aff><aff xml:lang="en"><institution>K. Zhubanov Aktobe Regional University</institution><country>Kazakhstan</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Каракалпакский государственный университет имени Бердаха</institution><country>Узбекистан</country></aff><aff xml:lang="en"><institution>Berdakh Karakalpak State University</institution><country>Uzbekistan</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>36</fpage><lpage>45</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Ниязбаева А.А., Adilchaev R., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Ниязбаева А.А., Adilchaev R.</copyright-holder><copyright-holder xml:lang="en">Niyazbayeva A., Adilchaev R.</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/2587">https://www.jpra-kazniiapk.kz/jour/article/view/2587</self-uri><abstract><p>Цель – разработать и апробировать интегральный Индекс цифровой зрелости (ИЦЗ) и карту «готовность × ожидаемая отдача» для приоритизации поэтапных внедрений. Методы – смешанный дизайн: прокси-опрос 50 хозяйств, построение пятиблочного ИЦЗ (A-подключённость, B-данные/учёт, C-процессы/автоматизация, D-компетенции/организация, E-интеграция/эффекты), непараметрические сравнения и корреляционный анализ применялись при сборе первичной информации о хозяйствующих субъектах в условиях дефицита официальной статистики, для сведения разнородных индикаторов к единой сопоставимой оценке цифровой компетентности, определения различий между предпринимательскими структурами аграрного сектора по масштабу и профилю, установления тесноты связи отдельных факторов с итоговым индексом. Результаты – зафиксирована неоднородность технологической готовности агроформирований: инфраструктурный блок A находится выше порога, а узкими местами остаются блоки B и C, то есть данные и процессы. Размер предприятия положительно связан с ИЦЗ, но практика менеджмента частично компенсирует эффект масштабирования у малого и среднего агробизнеса. Карта приоритетов выделяет «быстрые победы»: учёт затрат, склад и запасы, логистику, электронные вет- и фитосанитарные процессы, полевые журналы с метеоданными, для уровней не ниже «среднего» – телеметрию парка техники и сбытовую аналитику. Выводы – предложенная методика создает основу для управленческих дорожных карт на 12–18 месяцев и ориентирует отраслевую политику на возможность информационных систем обмениваться сведениями для согласованной работы. Результаты могут быть использованы при разработке региональных программ поддержки цифровизации АПК, особенно для малых и средних сельскохозяйственных предприятий.</p></abstract><trans-abstract xml:lang="en"><p>Objective – to develop and test an integral Digital Maturity Index (DMI) and a “readiness × expected yield” map to prioritize phased implementations. Methods – mixed design: a proxy survey of 50 farms, construction of a five-block DMI (A-connectivity, B-data/accounting, C-processes/automation, D-competencies/organization, E-integration/effects), non-parametric comparisons, and correlation analysis were applied during primary data collection on economic entities under conditions of official statistics deficiency, to reduce heterogeneous indicators into a single comparable assessment of digital competence, identify differences between agricultural business entities by scale and profile, and establish the strength of the connection of individual factors with the final index. Results – heterogeneity in the technological readiness of agricultural enterprises was recorded: infrastructure block A is above the threshold, while blocks B and C, namely data and processes, remain bottlenecks. Enterprise size is positively associated with the DMI, but management practice partially compensates for the scaling effect in small and medium-sized agribusinesses. The priority map highlights “quick wins”: cost accounting, warehouse and inventory, logistics, electronic veterinary and phytosanitary processes, field journals with meteorological data, and, for levels not lower than “medium,” vehicle fleet telemetry and sales analytics. Conclusions – the proposed methodology creates a foundation for 12–18 month management roadmaps and sectoral policy toward enabling information systems to exchange data for coordinated operation. The results can be used in developing regional programs to support AIC digitalization, especially for small and medium-sized agricultural enterprises.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>аграрный сектор</kwd><kwd>малые и средние хозяйства</kwd><kwd>цифровая трансформация</kwd><kwd>цифровая зрелость</kwd><kwd>цифровая инфраструктура</kwd><kwd>интеграция информационных систем</kwd></kwd-group><kwd-group xml:lang="en"><kwd>agricultural sector</kwd><kwd>small and medium-sized farms</kwd><kwd>digital transformation</kwd><kwd>digital maturity</kwd><kwd>digital infrastructure</kwd><kwd>information system integration</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">Jouanjean, M. 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