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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">10.51176/1997-9967-2025-1-19-30</article-id><article-id custom-type="elpub" pub-id-type="custom">esp-1536</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>ИННОВАЦИИ И ЦИФРОВАЯ ЭКОНОМИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INNOVATION AND THE DIGITAL ECONOMY</subject></subj-group></article-categories><title-group><article-title>Оценка влияния цифровой экономики на трансформацию трудовых ресурсов в Казахстане</article-title><trans-title-group xml:lang="en"><trans-title>Assessment of the Impact of the Digital Economy on Labor Resources Transformation in Kazakhstan</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0533-2728</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Калиева</surname><given-names>С. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kaliyeva</surname><given-names>S. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Д.э.н., ассоциированный профессор.</p><p>ул. Шевченко 28, A25K1B0, Алматы</p><p>87013969630</p></bio><bio xml:lang="en"><p>Saule A. Kaliyeva – Doc. Sc. (Econ.), Associate Professor, Institute of Economics CS MSHE RK.</p><p>28 Shevchenko Str., A25K1B0, Almaty</p><p>87013969630</p></bio><email xlink:type="simple">kalievas_@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/0000-0003-4479-0414</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Максютова</surname><given-names>А. Ф.</given-names></name><name name-style="western" xml:lang="en"><surname>Maxyutova</surname><given-names>A. F.</given-names></name></name-alternatives><bio xml:lang="ru"><p>PhD.</p><p>ул. Шевченко 28, A25K1B0, Алматы</p></bio><bio xml:lang="en"><p>Ainura F. Maxyutova – PhD, researcher Institute of Economics CS MSHE RK.</p><p>28 Shevchenko Str., A25K1B0, Almaty</p></bio><email xlink:type="simple">0711ainura@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/0000-0002-4079-244X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Рахметова</surname><given-names>Р. У.</given-names></name><name name-style="western" xml:lang="en"><surname>Rakhmetova</surname><given-names>R. U.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Д.э.н., профессор.</p><p>ул. Шевченко 28, A25K1B0, Алматы</p></bio><bio xml:lang="en"><p>Rakhila U. Rakhmetova – Doc. Sc. (Econ.), Professor, Institute of Economics CS MSHE RK.</p><p>28 Shevchenko Str., A25K1B0, Almaty</p></bio><email xlink:type="simple">rakhmetova@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/0000-0002-3034-3165</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Альпеисова</surname><given-names>Ш. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Alpeissova</surname><given-names>S. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>PhD, ассоциированный профессор.</p><p>пр. Женис 62, Астана</p></bio><bio xml:lang="en"><p>Sholpan E. Alpeissova – PhD, Associate Professor, S. Seifullin Kazakh Agro Technical Research University.</p><p>62 Zhenis ave., Astana</p></bio><email xlink:type="simple">sholpan761@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Институт экономики КН МОН РК<country>Казахстан</country></aff><aff xml:lang="en">Institute of Economics CS MSHE RK<country>Kazakhstan</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Казахский агротехнический исследовательский университет имени С. Сейфуллина<country>Казахстан</country></aff><aff xml:lang="en">S. Seifullin Kazakh Agro Technical Research University<country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>10</day><month>04</month><year>2025</year></pub-date><volume>20</volume><issue>1</issue><fpage>19</fpage><lpage>30</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Калиева С.А., Максютова А.Ф., Рахметова Р.У., Альпеисова Ш.Е., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Калиева С.А., Максютова А.Ф., Рахметова Р.У., Альпеисова Ш.Е.</copyright-holder><copyright-holder xml:lang="en">Kaliyeva S.A., Maxyutova A.F., Rakhmetova R.U., Alpeissova S.E.</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/1536">https://esp.ieconom.kz/jour/article/view/1536</self-uri><abstract><p>В данной статье было изучено влияние цифровой экономики и инноваций на трансформацию трудовых ресурсов Казахстана как с теоретической, так и с эмпирической точек зрения. Посредством корреляционного анализа были выделены те факторы, которые оказались наиболее значимы для результативного фактора - занятого населения в высокотехнологичных и наукоёмких отраслях экономики (R2&gt;0,8). Однако при проверке на мультиколлинеарность корреляционная таблица показала тесную линейную связь между всеми факторами. В связи с чем, авторами было решено использовать метод статистических уравнений зависимостей. В ходе исследования рассчитано многофакторное уравнение зависимостей, определены ключевые социально-экономические факторы, оказывающие влияние на занятость в высокотехнологичных и наукоёмких отраслях, а также произведён расчёт степени влияния каждого из факторов на результативный признак. Так, на уровень занятости населения в высокотехнологичных и наукоёмких отраслях Казахстана наибольшее влияние оказывают четыре ключевых фактора: доля пользователей сети Интернет, степень влияния этого показателя наиболее значимая и составила 38,28%; доля пользователей компьютеров – 28,27%; валовый внутренний продукт на душу населения – 19,47% и внутренние затраты на научно-исследовательские и опытно-конструкторские работы – 11,69%. Учитывая тот факт, что цифровая инновационная эра сегодня находится практически в самом начале своего развития, то цифровые процессы, происходящие в экономике, в частности на рынке труда, требуют мониторинга и глубокого анализа для своевременной разработки рычагов управления и контроля их влияния, что только подчёркивает актуальность настоящего исследования.</p></abstract><trans-abstract xml:lang="en"><p>The present paper analyzed the impact of the digital economy and innovations on Kazakhstan’s labor resource transformation from theoretical and empirical perspectives. By means of correlation analysis the factors that were the most significant for the result variable - the employed population in high-tech and knowledge-intensive sectors of the economy were determined (R2&gt;0,8). However, the correlation analysis revealed the multicollinearity - close linear relationship between all factors. In this regard, the method of statistical equations of dependencies was applied for further research. During the study, a multifactorial equation of dependencies was calculated. Key socio-economic factors influencing population employment in high-tech and knowledge-intensive sectors of the economy were determined. The degree of influence of each factor on the result variable was calculated. Thus, the level of employment in high-tech and knowledge-intensive industries of Kazakhstan is most influenced by four key factors: the share of Internet users, the degree of influence of this indicator is the most significant and amounted to 38.28%; the share of computer users – 28.27%; gross domestic product per capita - 19.47%; and internal expenditure on research and development work – 11.69%. Taking into account the fact that the digital innovation era today is almost at the very beginning of its development, the digital processes occurring in the economy, in particular in the labor market, require monitoring and in-depth analysis for the timely development of management levers and control of their impact, that only emphasizes the relevance of this study.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>экономика</kwd><kwd>цифровая экономика</kwd><kwd>цифровизация</kwd><kwd>социальная экономика</kwd><kwd>человеческий капитал</kwd><kwd>трудовые ресурсы</kwd><kwd>занятость</kwd><kwd>трансформация</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Economy</kwd><kwd>Digital Economy</kwd><kwd>Digitalization</kwd><kwd>Social Economy</kwd><kwd>Human Capital</kwd><kwd>Labor Resource</kwd><kwd>Employment</kwd><kwd>Transformation</kwd></kwd-group><funding-group xml:lang="ru"><funding-statement>Исследование финансировалось Комитетом науки Министерства науки и высшего образования Республики Казахстан (ИРН AP23488981 - «Трансформация трудовых ресурсов Казахстана на фоне технологических вызовов: новое качество, модель, сценарии»).</funding-statement></funding-group><funding-group xml:lang="en"><funding-statement>This study was funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (AP23488981 “Transformation of Kazakhstan’s labor resources against the background of technological challenges: new quality, model, scenarios”).</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">Acemoglu, D., &amp; Restrepo, P. 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