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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">esp</journal-id><journal-title-group><journal-title xml:lang="ru">Economy: strategy and practice</journal-title><trans-title-group xml:lang="en"><trans-title>Economy: strategy and practice</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1997-9967</issn><issn pub-type="epub">2663-550X</issn><publisher><publisher-name>Институт экономики</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.51176/1997-9967-2024-1-70-87</article-id><article-id custom-type="elpub" pub-id-type="custom">esp-1236</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>ЭКОНОМИЧЕСКИЙ РОСТ И УСТОЙЧИВОЕ РАЗВИТИЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ECONOMIC GROWTH AND SUSTAINABLE DEVELOPMENT</subject></subj-group></article-categories><title-group><article-title>Устойчивое сельское хозяйство: выводы из кластеризации данных</article-title><trans-title-group xml:lang="en"><trans-title>Sustainable Farming: Insights from Data Clustering</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0004-1980-484X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ахметкызы</surname><given-names>А.</given-names></name><name name-style="western" xml:lang="en"><surname>Akhmetkyzy</surname><given-names>A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>магистр бизнеса, научный сотрудник</p><p>пр. Абая 8A, Алматы</p></bio><bio xml:lang="en"><p>Assel  Akhmetkyzy – Mr. Sc. (Econ.), Researcher</p><p>8A Abay Ave., Almaty</p></bio><email xlink:type="simple">assel.akhmetkyzy@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8551-0573</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Нурмухаметов</surname><given-names>Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Nurmukhametov</surname><given-names>N. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>к.э.н., ассоциированный профессор</p><p>пр. Женис 62, Астана</p></bio><bio xml:lang="en"><p>Nurbakhyt N. Nurmukhametov – Cand. Sc. (Econ.), Associate Professor</p><p>62 Zhenis Ave., Astana</p></bio><email xlink:type="simple">nyrbahit73@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8203-7565</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Нургабылов</surname><given-names>М.</given-names></name><name name-style="western" xml:lang="en"><surname>Nurgabylov</surname><given-names>M. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>к.э.н., декан факультета «Естествознания»</p><p>ул. Желтоксан 69 Б, Тараз</p></bio><bio xml:lang="en"><p>Murat N. Nurgabylov – PhD., Dean of the Faculty of Natural Sciences</p><p>69 B Zheltoksan Str., Taraz</p></bio><email xlink:type="simple">murat_tdd@bk.ru</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Университет международного бизнеса<country>Казахстан</country></aff><aff xml:lang="en">University of International Business named after K. Sagadiyev<country>Kazakhstan</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Казахский научноисследовательский агротехнический университет имени С. Сейфуллина<country>Казахстан</country></aff><aff xml:lang="en">S. Seifullin of the Kazakh Agrotechnical Research University<country>Kazakhstan</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru">Международный Таразский инновационный институт<country>Казахстан</country></aff><aff xml:lang="en">International Taraz Innovation Institute<country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>05</day><month>04</month><year>2024</year></pub-date><volume>19</volume><issue>1</issue><fpage>70</fpage><lpage>87</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Ахметкызы А., Нурмухаметов Н.N., Нургабылов М.N., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Ахметкызы А., Нурмухаметов Н., Нургабылов М.</copyright-holder><copyright-holder xml:lang="en">Akhmetkyzy A., Nurmukhametov N.N., Nurgabylov M.N.</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://esp.ieconom.kz/jour/article/view/1236">https://esp.ieconom.kz/jour/article/view/1236</self-uri><abstract><p>В этом исследовании изучаются практические аспекты развития сельскохозяйственной отрасли в отношении экологически чистых технологий и загрязнения воздуха посредством использования кластерного анализа данных. Целью данного исследования является идентификация различных групп в аграрном секторе на основе их реакции на разнообразные факторы, которые включают в себя демографические данные, типы культивируемых культур, осведомленность о проблемах загрязнения воздуха, а также отношение к практикам устойчивого развития. Для анализа применяется метод кластеризации K-средних, который позволяет разделить участников исследования на три отдельные группы, представляющие собой уникальное сочетание взглядов и практик. Результаты исследования визуализируются с помощью точечных и столбчатых диаграмм, что обеспечивает наглядное представление о различиях и сходствах между кластерами. Данная визуализация позволяет наглядно увидеть, как различные кластеры располагаются относительно друг друга по ключевым параметрам исследования, выделяя тем самым уникальные характеристики каждой группы. Исследование выявило значительное разнообразие в принятии и восприятии экологически чистых практик в сельском хозяйстве. Некоторые группы демонстрируют высокую удовлетворенность и эффективность, что свидетельствует об успешной интеграции устойчивых методов, в то время как другие проявляют скептицизм и проблемы, возможно, из-за экономических ограничений или отсутствия доступа к ресурсам и знаниям. Экономическая интерпретация этих кластеров предполагает, что различные уровни доступности ресурсов и распространения знаний влияют на различия в принятии устойчивых практик. Исследование завершается серией рекомендаций, направленных на целенаправленное формирование политики, развитие образовательных инициатив и эффективное распределение ресурсов для расширения применения экологически безопасных методов в сельскохозяйственном секторе. Такой подход предлагает значительный потенциал по продвижению устойчивых практик в аграрной деятельности и сохранении природной среды.</p></abstract><trans-abstract xml:lang="en"><p>This study delves into the perceptions and practices of the agricultural community regarding eco-friendly technologies and air pollution through a detailed clustering analysis of survey data. The primary objective is to identify distinct groups within the agricultural sector based on their responses to various factors, including demographic information, types of crops grown, perceptions of air pollution, and attitudes toward sustainable practices. The analysis employs K-Means clustering to categorize respondents into three distinct clusters, each representing a unique combination of views and practices. The findings are visualized using scatter plots and box plots, offering a clear depiction of the variations and commonalities within each cluster. The study reveals significant diversity in the adoption and perception of eco-friendly practices in agriculture. Some groups demonstrate high satisfaction and effectiveness, indicating successful integration of sustainable methods, while others show skepticism and challenges, possibly due to economic constraints or lack of access to resources and knowledge. The economic interpretation of these clusters suggests that varying levels of resource availability, technological access, and knowledge dissemination influence differences in the adoption of sustainable practices. The study concludes with recommendations for targeted policy-making, educational initiatives, and resource allocation to support and enhance the adoption of eco-friendly practices across different segments of the agricultural community. This tailored approach can significantly contribute to the broader objective of promoting sustainable agriculture and environmental stewardship.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>экономика</kwd><kwd>экономический рост</kwd><kwd>устойчивое сельское хозяйство</kwd><kwd>сельскохозяйственные системы</kwd><kwd>кластеризация данных</kwd><kwd>восприятие фермерами</kwd><kwd>загрязнение воздуха</kwd><kwd>выбросы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Economy</kwd><kwd>Economic Development</kwd><kwd>Sustainable Agriculture</kwd><kwd>Farming Systems</kwd><kwd>Data Clustering</kwd><kwd>Farmer Perception</kwd><kwd>Air Pollution</kwd><kwd>Emission</kwd></kwd-group><funding-group xml:lang="ru"><funding-statement>исследование проведено в рамках грантового финансирования Комитета науки МНВО РК (AP19680251 “Анализ проблем развития циркулярной экономики в АПК Казахстана с разработкой модели использования ее возможностей в современных условиях”).</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Akimbekova, G. 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