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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">turan</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник университета «Туран»</journal-title><trans-title-group xml:lang="en"><trans-title>Bulletin of "Turan" University</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1562-2959</issn><issn pub-type="epub">2959-1236</issn><publisher><publisher-name>Университет «Туран»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.46914/1562-2959-2022-1-3-72-82</article-id><article-id custom-type="elpub" pub-id-type="custom">turan-2825</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>ЭКОНОМИКА: ИСТОРИЯ, ТЕОРИЯ, ПРАКТИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ECONOMY: HISTORY, THEORY, PRACTICE</subject></subj-group></article-categories><title-group><article-title>Развитие регионов Казахстана по модели «Умная специализация»</article-title><trans-title-group xml:lang="en"><trans-title>Regional development of Kazakhstan based on “Smart Specialization” model</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3937-6940</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Курманов</surname><given-names>Н. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kurmanov</surname><given-names>N. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>PhD, профессор-исследователь</p><p>г. Нур-Султан</p></bio><bio xml:lang="en"><p>PhD, professor-researcher </p><p>Nur-Sultan</p></bio><email xlink:type="simple">Kurmanov_NA@enu.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/0000-0002-6152-2457</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ускеленова</surname><given-names>А. Т.</given-names></name><name name-style="western" xml:lang="en"><surname>Uskelenova</surname><given-names>A. T.</given-names></name></name-alternatives><bio xml:lang="ru"><p>д.э.н</p><p>г. Алматы</p></bio><bio xml:lang="en"><p>d.e.s. </p><p>Almaty</p></bio><email xlink:type="simple">assol_74_leo@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/0000-0002-5790-3003</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сатбаева</surname><given-names>А. Ж.</given-names></name><name name-style="western" xml:lang="en"><surname>Satbayeva</surname><given-names>A. Zh.</given-names></name></name-alternatives><bio xml:lang="ru"><p>PhD</p><p>г. Нур-Султан</p></bio><bio xml:lang="en"><p>PhD</p><p>Nur-Sultan</p></bio><email xlink:type="simple">aizhan198@mail.ru</email><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4904-320X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Алиев</surname><given-names>У. Ж.</given-names></name><name name-style="western" xml:lang="en"><surname>Aliyev</surname><given-names>U. Zh.</given-names></name></name-alternatives><bio xml:lang="ru"><p>PhD</p><p>г. Нур-Султан</p></bio><bio xml:lang="en"><p>PhD </p><p>Nur-Sultan</p></bio><email xlink:type="simple">aliyev0901@gmail.com</email><xref ref-type="aff" rid="aff-4"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Евразийский национальный университет им. Л.Н. Гумилева<country>Казахстан</country></aff><aff xml:lang="en">L.N. Gumilyov Eurasian National University<country>Kazakhstan</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Казахский национальный университет им. аль-Фараби<country>Казахстан</country></aff><aff xml:lang="en">Al-Farabi Kazakh National University<country>Kazakhstan</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru">Департамент риск-менеджмента АО «Фонд развития промышленности»<country>Казахстан</country></aff><aff xml:lang="en">Risk Management Department JSC Industrial Development Fund<country>Kazakhstan</country></aff></aff-alternatives><aff-alternatives id="aff-4"><aff xml:lang="ru">Центр научных стратегических исследований<country>Казахстан</country></aff><aff xml:lang="en">Center for Scientific Strategic Research<country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>10</day><month>10</month><year>2022</year></pub-date><volume>0</volume><issue>3</issue><fpage>72</fpage><lpage>82</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Курманов Н.А., Ускеленова А.Т., Сатбаева А.Ж., Алиев У.Ж., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Курманов Н.А., Ускеленова А.Т., Сатбаева А.Ж., Алиев У.Ж.</copyright-holder><copyright-holder xml:lang="en">Kurmanov N.A., Uskelenova A.T., Satbayeva A.Z., Aliyev U.Z.</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://vestnik.turan-edu.kz/jour/article/view/2825">https://vestnik.turan-edu.kz/jour/article/view/2825</self-uri><abstract><p>В условиях все больше усиливающейся конкуренции в технологичном секторе экономики и активизации инновационной деятельности необходимы передовые инструменты управления, способствующие осуществлению эффективного планирования, организации, стимулирования и контроля за внедрением и реализацией инноваций в сырьевых регионах Казахстана. Следовательно, требуются новые научные подходы к управлению инновационным развитием сырьевого региона, позволяющие повысить эффективность региональных социально-экономических систем. В настоящее время передовым инструментом в области определения территорий локализации кластеров является модель «умная специализация», которая является особым научным подходом к формированию региональных кластеров. В модели «умная специализация» подчеркивается необходимость поиска и выбора таких сфер деятельности, которые способны внести максимальный вклад в социально-экономическое развитие региона посредством поддержки и стимулирования инновационных исследований и разработок в выявленных сферах региональной специализации. Важным условием регионального экономического прогресса является выявление потенциальных полюсов инновационного роста развития региона на основе анализа собственного потенциала и лучших мировых практик. Целью статьи является обоснование приоритетных направлений и разработка методов, инструментов управления инновационным развитием сырьевых регионов Казахстана на основе модели «умная специализация» для создания нового качества экономического роста территорий. В статье проведен анализ научной литературы и обоснована приоритетность, результативность применения модели «умная специализация» к процессу инновационного развития сырьевого региона. Уточнены методологические подходы (методологические принципы, условия, критерии, сценарные варианты, алгоритм) к формированию стремительно развивающихся секторов экономики сырьевого региона по модели «умная специализация». Авторами статьи уточнены методические инструменты, которые позволят осуществить выбор наиболее перспективных технологий для формирования стремительно развивающихся секторов экономики сырьевого региона.</p></abstract><trans-abstract xml:lang="en"><p>In the conditions of increasing competition in the technological sector of the economy and the intensification of innovation, innovative management tools are needed to facilitate the effective planning, organization, stimulation and control of the introduction and implementation of innovations in the resource regions of Kazakhstan. Consequently, new scientific approaches are required to manage the innovative development of the commodity region, which will increase the effectiveness of regional socio-economic systems.Currently, an advanced tool in the field of determining the territories of cluster localization is the model of “smart specialization”, which is a special scientific approach to the formation of regional clusters. The “smart specialization” model emphasizes the need to search for and select such spheres of activity which are capable of making the maximum contribution to the socio-economic development of the region by supporting and stimulating innovative research and development in the identified spheres of regional specialization. An important condition for regional economic progress is the identification of potential poles of innovative growth in the region based on the analysis of its own potential and best international practices. The purpose of the article is to substantiate the priority areas and develop methods, tools for managing the innovative development of resource regions of Kazakhstan on the basis of the model of “smart specialization” to create a new quality of economic growth of territories. The article analyzes the scientific literature and substantiates the priority, the effectiveness of applying the “smart specialization” model to the process of innovative development of the resource region. The methodological approaches (methodological principles, conditions, criteria, scenario variants, algorithm) of formation of rapidly developing sectors of economy of raw material region on the model of “smart specialization” are specified. The authors of the article specify the methodological tools, which will allow to carry out the choice of the most promising technologies for the formation of rapidly developing sectors of the economy of the commodity region.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>инновации</kwd><kwd>умная специализация</kwd><kwd>развитие</kwd><kwd>управление</kwd><kwd>механизмы управления</kwd><kwd>сырьевой регион</kwd></kwd-group><kwd-group xml:lang="en"><kwd>innovation</kwd><kwd>smart specialization</kwd><kwd>development</kwd><kwd>management</kwd><kwd>management mechanisms</kwd><kwd>commodity region</kwd></kwd-group><funding-group xml:lang="en"><funding-statement>This research was supported by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan, grant number AP08052209 «Development of mechanisms for managing the innovative progress of the commodity regions of Kazakhstan based on the “smart specialization” model».</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">Kurmanov N., Aliyev U., Satbayeva A., Kabdullina G., Baxultanov D. 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