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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 custom-type="elpub" pub-id-type="custom">esp-192</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>Статьи</subject></subj-group></article-categories><title-group><article-title>ВЛИЯНИЕ ИННОВАЦИОННОЙ АКТИВНОСТИ, ЧЕЛОВЕЧЕСКОГО КАПИТАЛА, ПЕРЕТОКА ЗНАНИЙ НА ЭКОНОМИЧЕСКИЙ РОСТ РЕГИОНОВ</article-title><trans-title-group xml:lang="en"><trans-title>INFLUENCE OF INNOVATIVE ACTIVITY, HUMAN CAPITAL, KNOWLEDGE SPILLOVERS ON REGIONS’S ECONOMIC GROWTH</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Спанкулова</surname><given-names>Л. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Spankulova</surname><given-names>L. S.</given-names></name></name-alternatives><email xlink:type="simple">spankulova@mail.ru</email></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Чуланова</surname><given-names>З. К.</given-names></name><name name-style="western" xml:lang="en"><surname>Chulanova</surname><given-names>Z. K.</given-names></name></name-alternatives><email xlink:type="simple">zaure.ch@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ибраимова</surname><given-names>С. Ж.</given-names></name><name name-style="western" xml:lang="en"><surname>Ibraimova</surname><given-names>S. Zh.</given-names></name></name-alternatives><email xlink:type="simple">mail: saule_ibraimova_kz@mail.ru</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Институт экономики КН МОН РК</institution><country>Kazakhstan</country></aff><aff xml:lang="ru" id="aff-2"><institution>КАЗАХСКИЙ УНИВЕРСИТЕТ ТЕХНОЛОГИИ И БИЗНЕСА</institution><country>Kazakhstan</country></aff><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>30</day><month>12</month><year>2019</year></pub-date><volume>14</volume><issue>4</issue><fpage>53</fpage><lpage>66</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Спанкулова Л.С., Чуланова З.К., Ибраимова С.Ж., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Спанкулова Л.С., Чуланова З.К., Ибраимова С.Ж.</copyright-holder><copyright-holder xml:lang="en">Spankulova L.S., Chulanova Z.K., Ibraimova S.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://esp.ieconom.kz/jour/article/view/192">https://esp.ieconom.kz/jour/article/view/192</self-uri><abstract><p>Цель работы состоит в выявлении взаимосвязи между региональным экономическим ростом, инновационной деятельностью, уровнем развития человеческого капитала территории и перетоками знаний. В основу методологии положена количественная оценка влияния перетоков знаний и технологических инноваций на экономический рост регионов. В качестве метода моделирования связей между указанными параметрами использованы инструменты пространственной эконометрики. Выборка временных рядов осуществлена с использованием панельного анализа, что позволило учесть индивидуальные особенности регионов, коррелирующие с переменными в модели, присущей каждому из них в отдельности. Основываясь на положении об эффективности развития экономики в зависимости от накопленного и реализованного человеческого капитала наряду с экономическими условиями региона был рассчитан показатель социального фильтра. Использование данного показателя позволило выявить ключевые факторы инновационного развития, способствующие перетокам знаний. На основе статистических данных по инновационной деятельности в Казахстане за 1990-2018 гг. осуществлена оценка взаимосвязи между НИОКР, инновационной деятельностью и экономическим ростом с учетом специфики человеческого капитала регионов Казахстана. Проведенные расчеты, в соответствии с предложенными моделями подтвердили гипотезу о положительном влиянии затрат на развитие технологических инноваций на темпы экономического роста регионов. Соответственно сделан вывод, что НИОКР могут быть заимствованы и внедрены другими территориями и распространяться далее в этом направлении по производственной цепи.</p></abstract><trans-abstract xml:lang="en"><p>The aim of the work is to identify the relationship between regional economic growth, innovation, the level of human capital development and the knowledge spillovers.The methodology is based on a quantitative assessment of the impact of knowledge spillovers and technological innovations on the economic growth of regions. Spatial econometrics tools are used as a method of modeling the relationships between these parameters. The sampling of time series was carried out using panel analysis, which allowed to take into account the individual characteristics of the regions correlating with the variables in the model inherent in each of them separately. Based on the provision on the effectiveness of economic development, depending on the accumulated and realized human capital, along withthe economic conditions ofthe region, a social filter indicator was calculated. Using this indicator allowed us to identify key factors of innovative development that contribute to the knowledge spillovers. Based on statistics on innovation in Kazakhstan for the period 1990-2018 the relationship between R&amp;D, innovation and economic growth is assessed taking into account the specifics of human capital in the regions of Kazakhstan. The calculations, in accordance with the proposed models, confirmed the hypothesis about the positive impact of costs on the development of technological innovations on the regional economic growth rates. Accordingly, it is concluded that R&amp;D can be borrowed and introduced by other territories and spread further in this direction along the production chain.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>инновациялық процестер</kwd><kwd>аймақтық даму</kwd><kwd>адам капиталы</kwd><kwd>білім ағындары</kwd><kwd>ҒЗТКЖ</kwd><kwd>эконометрикалык модельдер</kwd><kwd>инновационные процессы</kwd><kwd>региональное развитие</kwd><kwd>человеческий капитал</kwd><kwd>перетоки знания</kwd><kwd>НИОКР</kwd><kwd>эконометрические модели</kwd></kwd-group><kwd-group xml:lang="en"><kwd>innovative processes</kwd><kwd>regional development</kwd><kwd>human capital</kwd><kwd>knowledge spillovers</kwd><kwd>R&amp;D</kwd><kwd>econometric models</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">Oslo Manual: Guidelines for collecting and interpreting innovation data. 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