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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">mir</journal-id><journal-title-group><journal-title xml:lang="ru">МИР (Модернизация. Инновации. Развитие)</journal-title><trans-title-group xml:lang="en"><trans-title>MIR (Modernization. Innovation. Research)</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2079-4665</issn><issn pub-type="epub">2411-796X</issn><publisher><publisher-name>School of Public Administration</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18184/2079-4665.2023.14.4.654-679</article-id><article-id custom-type="elpub" pub-id-type="custom">mir-1590</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>РАЗВИТИЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>RESEARCH</subject></subj-group></article-categories><title-group><article-title>Качество человеческого капитала и  его влияние на экономический рост регионов России</article-title><trans-title-group xml:lang="en"><trans-title>Human capital quality  and its impact on economic growth of Russian regions</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5310-2399</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мабиала</surname><given-names>Ж.</given-names></name><name name-style="western" xml:lang="en"><surname>Mabiala</surname><given-names>G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Мабиала Жильберт, Ph.D. (экономика), доцент; доцент кафедры экономической теории</p><p>Researcher ID: Q-2108-2017</p><p>Симферополь</p></bio><bio xml:lang="en"><p>Gilbert Mabiala, Ph.D. in Economics, Associate Professor; Associate Professor of the Department of Economic Theory</p><p>Researcher ID: Q-2108-2017</p><p>Simferopol</p></bio><email xlink:type="simple">gilmabiala@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/0000-0003-1267-4697</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Линский</surname><given-names>Д. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Linskiy</surname><given-names>D. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Линский Дмитрий Викторович, кандидат экономических наук, доцент; доцент кафедры экономической теории</p><p>Researcher ID: GQP-4386-2022</p><p>Симферополь</p></bio><bio xml:lang="en"><p>Dmitriy V. Linskiy,  Candidate of Economic Sciences, Associate Professor; Associate Professor of the Department of Economic Theory</p><p>Researcher ID: GQP-4386-2022</p><p>Simferopol</p></bio><email xlink:type="simple">linskydv@rambler.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/0000-0002-1528-5219</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Амирова</surname><given-names>Э. Ф.</given-names></name><name name-style="western" xml:lang="en"><surname>Amirova</surname><given-names>E. F.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Амирова Эльмира Фаиловна, кандидат экономических наук, доцент; доцент кафедры экономики производства; доцент кафедры цифровых технологий и прикладной информатики</p><p>Researcher ID: AAD-2904-2021</p><p>Казань</p></bio><bio xml:lang="en"><p>Elmira F.  Amirova, Candidate of Economic Sciences, Associate Professor; Associate Professor of the Department of Production Economics; Associate Professor of the Department of Digital Technologies and Applied Computer Science</p><p>Researcher ID: AAD-2904-2021</p><p>Kazan</p></bio><email xlink:type="simple">elmira_amirova@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/0000-0002-3891-644X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Афонасова</surname><given-names>М. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Afonasova</surname><given-names>M. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Афонасова Маргарита Алексеевна,  доктор экономических наук, профессор; профессор кафедры менеджмента</p><p>Researcher ID: AAB-4694-2020</p><p>Томск</p></bio><bio xml:lang="en"><p>Margarita A.  Afonasova,  Doctor of Economic Sciences, Professor; Professor of the Department of Management</p><p>Researcher ID: AAB-4694-2020</p><p>Tomsk</p></bio><email xlink:type="simple">afonasova@tusur.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/0000-0001-7369-6406</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Богомолова</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Bogomolova</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Богомолова Алена Владимировна, кандидат экономических наук, доцент; доцент кафедры менеджмента</p><p>Томск</p></bio><bio xml:lang="en"><p>Alena V. Bogomolova, Candidate of Economic Sciences, Associate Professor; Associate Professor of the Department of Management</p><p>Tomsk</p></bio><email xlink:type="simple">bogomolova@tusur.ru</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Крымский федеральный университет имени В. И. Вернадского, Институт экономики и управления</institution><country>Россия</country></aff><aff xml:lang="en"><institution>V. I. Vernadsky Crimean Federal University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Казанский (Приволжский) федеральный университет; Казанский государственный аграрный университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Kazan Federal University; Kazan State Agrarian University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Томский государственный университет систем управления и радиоэлектроники</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Tomsk State University of Control Systems and Radioelectronics</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>20</day><month>12</month><year>2023</year></pub-date><volume>14</volume><issue>4</issue><fpage>654</fpage><lpage>679</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Мабиала Ж., Линский Д.В., Амирова Э.Ф., Афонасова М.А., Богомолова А.В., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Мабиала Ж., Линский Д.В., Амирова Э.Ф., Афонасова М.А., Богомолова А.В.</copyright-holder><copyright-holder xml:lang="en">Mabiala G., Linskiy D.V., Amirova E.F., Afonasova M.A., Bogomolova A.V.</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.mir-nayka.com/jour/article/view/1590">https://www.mir-nayka.com/jour/article/view/1590</self-uri><abstract><p>Цель  статьи состоит в эмпирическом обосновании влияния качества человеческого капитала на экономический рост регионов России на основе теоретико-методического обобщения его основных аспектов. </p><sec><title>Методы</title><p>Методы.   Наряду с традиционными, в процессе работы использованы специфические методы исследования – контент-анализ, методы экспертных оценок, компаративного анализа и расчетно-графический прием Сяна-Йипла, которые позволили выявить состояние показателей качества человеческого капитала, а также установить его оптимальную структуру, подходящую для динамического экономического развития.</p></sec><sec><title>Результаты работы</title><p>Результаты работы.   Установлены параметры когнитивного и некогнитивного человеческого потенциала как реалистичного фактора динамики валового регионального продукта, определяющего будущие темпы экономического развития. Сравнительный анализ коэффициентов эластичности спроса и предложения рабочей силы позволил выявить степень влияния ее качества на обеспечение соответствующих тенденций экономического роста. Доказано, что значительные инвестиции в человеческий капитал и высокий уровень его развития представляют собой фактор, лишь содействующий экономическому росту, но не гарантирующий его достижения. Даны рекомендации по обеспечению формирования трудового потенциала как фактора развития экономики, темпы роста которой во многом зависит от качества человеческого капитала.</p></sec><sec><title>Выводы</title><p>Выводы.  Российская экономика должна быть ориентирована на формирование и развитие высококачественного человеческого капитала. Достижение этого возможно посредством кадровых инноваций, путем реформирования существующей системы образования и оценки научного потенциала с целью оптимизации трудовой и отраслевой структуры, необходимой для экономического развития. Человеческий капитал должен быть структурирован с учетом его качественных параметров, уровня имеющегося трудового потенциала и видов деятельности, требующих передовых знаний для системного экономического роста.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Purpose</title><p>Purpose:  is to empirically substantiate the impact of human capital quality on the economic growth of the regions of Russia on the basis of theoretical and methodological generalization of its main aspects.</p></sec><sec><title>Methods</title><p>Methods: along with traditional methods, specific methods were used, such as content analysis, methods of expert assessments and comparative analysis, and the calculation and graphic technique of Xiang-Yeaple, which allowed to identify the state of human capital quality, as well as establish its optimal structure suitable for dynamic economic development.</p></sec><sec><title>Results</title><p>Results: the cognitive and non-cognitive parameters of human potential are established as a realistic factor in the dynamics of gross regional product that determines the future pace of economic development. A comparative analysis of the labor demand and supply elasticity coefficients has revealed the degree of impact of its quality in ensuring the corresponding trends of economic growth. It was proven that significant investments in human capital and high levels of its development represent only a factor of ensuring economic growth and don’t guarantee its achievement. Recommendations for ensuring the development of labor potential as determinant of economic development, the growth rates of which largely depends on the human capital quality.</p><p>Сonclusions and Relevance:   the Russian economy should focus on the formation and development of high-quality human capital through talent-fueled innovation by reforming the existing education system and assessing scientific potential in order to optimize the labor and branch structure suitable for high-quality economic growth. Human capital should be structured considering the parameters of its quality, the level of available labor potential, and the types of activities that require advanced knowledge for systemic economic growth.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>человеческий потенциал</kwd><kwd>трудовой фактор</kwd><kwd>когнитивный и некогнитивный человеческий капитал</kwd><kwd>HCQ-индекс</kwd><kwd>индекс человеческого развития</kwd><kwd>региональные различия</kwd><kwd>инновации</kwd><kwd>экономический рост</kwd></kwd-group><kwd-group xml:lang="en"><kwd>human potential</kwd><kwd>labor factor</kwd><kwd>cognitive and non-cognitive parameters</kwd><kwd>HCQ-index</kwd><kwd>human  development index</kwd><kwd>regional disparity</kwd><kwd>innovation</kwd><kwd>economic growth</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">Rabbi F., Ahad N., Kousar T., Ali T. 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