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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">sseu</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Самарского государственного экономического университета</journal-title><trans-title-group xml:lang="en"><trans-title>Vestnik of Samara State University of Economics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1993-0453</issn><publisher><publisher-name>Самарский государственный экономический университет</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">sseu-262</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>РЕГИОНАЛЬНАЯ И ОТРАСЛЕВАЯ ЭКОНОМИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>REGIONAL AND SECTORAL ECONOMY</subject></subj-group></article-categories><title-group><article-title>Кластерный анализ предприятий металлургического комплекса России</article-title><trans-title-group xml:lang="en"><trans-title>Cluster analysis of Russian metallurgical complex enterprises</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>Савенков</surname><given-names>Л. Д.</given-names></name><name name-style="western" xml:lang="en"><surname>Savenkov</surname><given-names>L. D.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Леонид Дмитриевич Савенков – кандидат экономических наук, доцент </p><p>Тольятти</p></bio><bio xml:lang="en"><p>Leonid D. Savenkov – Candidate of Economic Sciences, Associate Professor </p><p>Tolyatti</p></bio><email xlink:type="simple">Leonidsavenkov89@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Институт финансов, экономики и управления Тольяттинского государственного университета<country>Россия</country></aff><aff xml:lang="en">Institute of Finance, Economics and Management of Tolyatti State University<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>07</day><month>12</month><year>2025</year></pub-date><volume>0</volume><issue>3</issue><fpage>40</fpage><lpage>48</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Савенков Л.Д., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Савенков Л.Д.</copyright-holder><copyright-holder xml:lang="en">Savenkov L.D.</copyright-holder><license 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://vestnik.sseu.ru/jour/article/view/262">https://vestnik.sseu.ru/jour/article/view/262</self-uri><abstract><p>В статье представлен проведенный кластерный анализ предприятий металлургического комплекса России на основе 12 отобранных показателей финансово-хозяйственной деятельности компании. В ходе корреляционного анализа были отобраны 3 основных фактора, влияющих на деятельность предприятий металлургического комплекса России. Такими факторами явились показатель чистой рентабельности, EV и показатель чистого долга. Для определения наиболее оптимального числа кластеров был использован метод Данна. В результате наиболее оптимальным числом можно считать три кластера. В ходе проведенного кластерного анализа был выявлен переход из одного кластера в другой ряда компаний в связи с ростом показателей рентабельности и EV. В 2021 и 2023 гг. наблюдаются значительные улучшения в деятельности компаний металлургического комплекса. ПАО «Ашинский металлургический завод» продолжает сохранять свои высокие позиции как в 2016 г., так и в 2021 и 2023 гг. Деятельность ПАО «Северсталь» к 2021 и 2023 гг., к сожалению, не улучшилась. Полученные результаты свидетельствуют о том, что экономические условия и ситуация в стране становятся более сбалансированными, а развитие в данной отрасли промышленности – однородным.</p></abstract><trans-abstract xml:lang="en"><p>The article presents a cluster analysis of an enterprise in the Russian metallurgical complex based on 12 selected indicators of the company’s financial and economic activities. In the course of the correlation analysis, three main factors were selected that influence the activities of enterprises in the Russian metallurgical complex. These factors were net profitability, EV and net debt. Dunn's method was used to determine the most optimal number of clusters. The most optimal number of clusters was three clusters. In the course of the cluster analysis, a transition from one cluster to another of a number of communication companies with an increase in profitability and EV indicators was identified. In 2021 and 2023, significant improvements in the performance of companies in the metallurgical complex are observed. The company PJSC Ashinsky Metallurgical Plant continues to maintain its high position, both in 2016 and in 2021 and 2023. The company PJSC Severstal, unfortunately, has not sufficiently improved its activities by 2021 and 2023. The results obtained indicate that economic conditions and the situation in the country are becoming more balanced, and development is becoming homogeneous in this industry.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>металлургический комплекс</kwd><kwd>корреляция</kwd><kwd>кластерный анализ</kwd><kwd>чистая рентабельность</kwd><kwd>чистый долг</kwd><kwd>EV</kwd><kwd>металлургическая промышленность</kwd><kwd>метод Данна</kwd></kwd-group><kwd-group xml:lang="en"><kwd>metallurgical complex</kwd><kwd>correlation</kwd><kwd>cluster analysis</kwd><kwd>net profitability</kwd><kwd>net debt</kwd><kwd>EV</kwd><kwd>metallurgical industry</kwd><kwd>Dunn method</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">Vasiltsov V.S., Nysh M.S., Solovieva A.V. 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