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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">emanag</journal-id><journal-title-group><journal-title xml:lang="ru">E-Management</journal-title><trans-title-group xml:lang="en"><trans-title>E-Management</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2658-3445</issn><issn pub-type="epub">2686-8407</issn><publisher><publisher-name>State University of Management</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26425/2658-3445-2024-7-1-36-47</article-id><article-id custom-type="elpub" pub-id-type="custom">emanag-427</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>АКТУАЛЬНЫЕ ВОПРОСЫ ЭКОНОМИКИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>CURRENT ECONOMIC ISSUES</subject></subj-group></article-categories><title-group><article-title>Адаптационный потенциал экономического роста Российской Федерации в условиях сокращения прямых иностранных инвестиций</article-title><trans-title-group xml:lang="en"><trans-title>Adaptive potential of Russian economic growth in the context of decline in foreign direct investment</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2692-5656</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Красных</surname><given-names>С. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Krasnykh</surname><given-names>S. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Красных Сергей Сергеевич - канд. экон. наук, науч. сотр. лаборатории моделирования пространственного развития территорий.</p><p>Екатеринбург</p></bio><bio xml:lang="en"><p>Sergey S. Krasnykh - Cand. Sci. (Econ.), Researcher at the Laboratory of Modeling of the Territories’ Spatial Development, Institute of Economics of the Ural Branch of the Russian Academy of Sciences.</p><p>Yekaterinburg</p></bio><email xlink:type="simple">krasnykh.ss@uiec.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Институт экономики Уральского отделения Российской академии наук</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Institute of Economics of the Ural Branch of the Russian Academy of Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>12</day><month>04</month><year>2024</year></pub-date><volume>7</volume><issue>1</issue><fpage>36</fpage><lpage>47</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Красных С.С., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Красных С.С.</copyright-holder><copyright-holder xml:lang="en">Krasnykh S.S.</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://e-management.guu.ru/jour/article/view/427">https://e-management.guu.ru/jour/article/view/427</self-uri><abstract><p>Данное исследование посвящено анализу адаптационного потенциала экономического роста России в условиях сокращения прямых иностранных инвестиций (далее – ПИИ). В свете сегодняшней геополитической обстановки, отмечающейся усилением торгового напряжения и протекционистских мер, понимание влияния ПИИ на валовой внутренний продукт (далее – ВВП) России становится критически важным для разработки политик и экономического планирования. В рамках исследования применяется метод моделирования векторной авторегрессии (далее – VAR) для анализа динамики ВВП России и притока ПИИ с учетом различных экономических и геополитических факторов. При этом используется обширный набор данных, охватывающий период с 1996 г. по 2021 г., который включает соответствующие макроэкономические показатели и геополитические события. Модель VAR позволяет изучать краткосрочные и долгосрочные взаимосвязи между переменными, отражая динамическое взаимодействие и эффекты обратной связи. Кроме того, анализ импульсного отклика используется для оценки величины и устойчивости экономического роста в условиях экономической нестабильности. Результаты исследования способствуют пониманию адаптационного потенциала экономического роста России в контексте ограничений ПИИ со стороны западных стран. Анализ дает представление о значимости притока ПИИ для ВВП России с учетом влияния различных экономических и геополитических факторов.</p></abstract><trans-abstract xml:lang="en"><p>This study analyses the adaptive potential of Russia’s economic growth in the context of decline in foreign direct investment (hereinafter referred to as FDI). In light of today’s geopolitical environment, marked by increased trade tension and protectionist measures, understanding the impact of FDI on Russia’s gross domestic product (hereinafter referred to as GDP) becomes critical for policy-making and economic planning. The study employs a vector autoregression modeling approach (hereinafter referred to as VAR) to analyse the dynamics of Russia’s GDP and FDI inflows with consideration to various economic and geopolitical factors. Besides, an extensive dataset is used covering the period from 1996 to 2021 which includes relevant macroeconomic indicators and geopolitical events. The VAR model allows to study short- and long-term correlations between variables reflecting dynamic interaction and feedback effects. In addition, impulse response analysis is used to estimate the magnitude and sustainability of economic growth under conditions of economic instability. The results of the study contribute to understanding the adaptative potential of Russia’s economic growth in the context of FDI restrictions from Western countries. The analysis provides insight into the significance of FDI inflows for the Russian GDP with consideration to the impact of various economic and geopolitical factors.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Российская Федерация</kwd><kwd>ПИИ</kwd><kwd>ВВП</kwd><kwd>векторная авторегрессия</kwd><kwd>тест на причинность</kwd><kwd>санкционные ограничения</kwd><kwd>анализ импульсных откликов</kwd><kwd>геоэкономическая нестабильность</kwd><kwd>социально-экономические шоки</kwd><kwd>механизмы экономического развития</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Russian Federation</kwd><kwd>FDI</kwd><kwd>GDP</kwd><kwd>vector autoregression</kwd><kwd>causality test</kwd><kwd>sanctions restrictions</kwd><kwd>impulse response analysis</kwd><kwd>geo-economic instability</kwd><kwd>socio-economic shocks</kwd><kwd>economic development mechanisms</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">Асансеитова С.М., Ковалева Э.В., Свинухов В.Г. 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