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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">vestrea</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Российского экономического университета имени Г. В. Плеханова</journal-title><trans-title-group xml:lang="en"><trans-title>Vestnik of the Plekhanov Russian University of Economics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2413-2829</issn><issn pub-type="epub">2587-9251</issn><publisher><publisher-name>Plekhanov Russian University of Economics</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21686/2413-2829-2025-1-25-34</article-id><article-id custom-type="elpub" pub-id-type="custom">vestrea-2186</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>МАТЕМАТИЧЕСКИЕ, СТАТИСТИЧЕСКИЕ И ИНСТРУМЕНТАЛЬНЫЕ МЕТОДЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MATHEMATIC, STATISTICAL AND INSTRUMENTAL METHODS</subject></subj-group></article-categories><title-group><article-title>Проблемы интеграции ESG через призму регрессионного анализа</article-title><trans-title-group xml:lang="en"><trans-title>ESG Integration in the Light of Regression Analysis</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>Севостьянов</surname><given-names>П. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Sevostyanov</surname><given-names>P. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Севостьянов Павел Игоревич - кандидат политических наук, доцент кафедры политического анализа и социально-психологических процессов РЭУ им. Г.В. Плеханова; действительный государственный советник Российской Федерации.</p><p>109992, Москва, Стремянный пер., д. 36</p></bio><bio xml:lang="en"><p>Pavel I. Sevostyanov - PhD, Assistant Professor of the Department for Political Analysis and Socio-Psychological Processes of the PRUE; Full State Councilor of the Russian Federation. Address: Plekhanov Russian University of Economics.</p><p>36 Stremyanny Lane, Moscow, 109992</p></bio><email xlink:type="simple">Sevostyanov.PI@rea.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Богатурия</surname><given-names>З. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Bogaturiya</surname><given-names>Z. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Богатурия Зарина Владимировна - преподаватель Бизнес-школы маркетинга и предпринимательства РЭУ им. Г.В. Плеханова.</p><p>109992, Москва, Стремянный пер., д. 36</p></bio><bio xml:lang="en"><p>Zarina V. Bogaturiya - Lecturer at the Business School of Marketing and Entrepreneurship of the PRUE.</p><p>36 Stremyanny Lane, Moscow, 109992</p></bio><email xlink:type="simple">Arinazvl@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Российский экономический университет имени Г.В. Плеханова</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Plekhanov Russian University of Economics</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>27</day><month>01</month><year>2025</year></pub-date><volume>0</volume><issue>1</issue><fpage>25</fpage><lpage>34</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Севостьянов П.И., Богатурия З.В., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Севостьянов П.И., Богатурия З.В.</copyright-holder><copyright-holder xml:lang="en">Sevostyanov P.I., Bogaturiya Z.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://vest.rea.ru/jour/article/view/2186">https://vest.rea.ru/jour/article/view/2186</self-uri><abstract><p>Экологическое, социальное и корпоративное управление (ESG) становится важнейшим элементом стратегий компаний, стремящихся к устойчивому развитию. Однако процесс внедрения ESG-инициатив встречается с серьезными вызовами, включая отсутствие унифицированных стандартов отчетности, высокую стоимость реализации ESG-стратегий и ограниченность достоверных данных. Настоящая статья направлена на изучение этих проблем и их влияния на корпоративное управление. Используя данные международных консалтинговых компаний, таких как McKinsey, MSCI, Sustainalytics, Bloomberg, анализируются проблемы реализации ESG-стратегий, а также возникающие риски. Ключевой элемент исследования – математическая модель множественной линейной регрессии, которая измеряет количественное влияние ESG-факторов на рыночную капитализацию компаний. Авторы демонстрируют результаты анализа, которые показывают влияние ESG-факторов на рыночную капитализацию компаний, что объясняет вектор их продвижения в корпоративные стратегии. Представленные выводы имеют практическую значимость для бизнеса, исследователей и регулирующих органов, стремящихся улучшить интеграцию ESG-практик в условиях глобальной экономической турбулентности. Новизна исследования заключается в использовании регрессионного коэффициента для оценки ESG-факторов рыночной капитализации. Полученные результаты подчеркивают необходимость сбалансированных инвестиций, прозрачности данных и унификации стандартов для успешной интеграции ESG в корпоративное управление.</p></abstract><trans-abstract xml:lang="en"><p>Ecological, social and corporate governance (ESG) becomes an important element in strategy of companies aiming at sustainable development. However, the process of ESG initiatives face serious challenges, including the absence of uniform accounting standards, expensive ESG strategy realization and shortage of reliable information. The goal of the present article is to study these problems and their impact on corporate governance. Using data of international consulting companies, such as McKinsey, MSCI, Sustainalytics, Bloomberg the authors analyzed problems dealing with ESG strategy realization and arising risks. The key component of the research is a mathematic model of multiple linear regression, which evaluates the quantitative impact of ESG factors on market company capitalization. The results of the analysis are demonstrated, they show the impact of ESG factors on company capitalization and it can explain the vector of their advance into corporate strategies. Provided conclusions have practical importance for business, researchers and regulating bodies wishing to improve integration of ESG practices in conditions of global economic turbulence. The novelty of the research includes the use of regression coefficient to evaluate ESG factors of market capitalization. These findings underline the necessity of well-balanced investment, data transparency and standard unification for successful ESG integration into corporate governance.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>ESG-стратегия</kwd><kwd>математическое моделирование</kwd><kwd>рыночная капитализация</kwd><kwd>риск</kwd><kwd>корпоративное управление</kwd><kwd>прозрачность отчетности</kwd><kwd>устойчивое развитие</kwd><kwd>инвестиции</kwd></kwd-group><kwd-group xml:lang="en"><kwd>ESG strategy</kwd><kwd>mathematic modeling</kwd><kwd>market capitalization</kwd><kwd>risk</kwd><kwd>corporate governance</kwd><kwd>accounting transparency</kwd><kwd>sustainable development</kwd><kwd>investment</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">Bogle J. C. 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