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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">ecr-journal</journal-id><journal-title-group><journal-title xml:lang="ru">Экономическая наука современной России</journal-title><trans-title-group xml:lang="en"><trans-title>Economics of Contemporary Russia</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1609-1442</issn><issn pub-type="epub">2618-8996</issn><publisher><publisher-name>Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.33293/1609-1442-2026-29(2)-21-32</article-id><article-id custom-type="edn" pub-id-type="custom">QCPGQK</article-id><article-id custom-type="elpub" pub-id-type="custom">ecr-journal-1176</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 ПРОБЛЕМЫ ЭКОНОМИЧЕСКОЙ ТЕОРИИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ACTUAL PROBLEMS OF ECONOMICS</subject></subj-group></article-categories><title-group><article-title>Пространственно-эконометрический подход к моделированию социального капитала  регионов России</article-title><trans-title-group xml:lang="en"><trans-title>A spatial-econometric approach to modeling social capital of the Russian regions</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>Трофимова</surname><given-names>Наталия Аристарховна</given-names></name><name name-style="western" xml:lang="en"><surname>Trofimova</surname><given-names>Natalia A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>кандидат экономических наук, доцент, ведущий научный сотрудник</p></bio><bio xml:lang="en"><p>Cand. Sci. (Economics), Associate Professor, Leading Researcher</p></bio><email xlink:type="simple">nataly_trofimova@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ЦЭМИ РАН, Москва</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Central Economics and Mathematics Institute of the Russian Academy of Sciences, Moscow</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>01</day><month>07</month><year>2026</year></pub-date><volume>29</volume><issue>2</issue><fpage>21</fpage><lpage>32</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Трофимова Н.А., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Трофимова Н.А.</copyright-holder><copyright-holder xml:lang="en">Trofimova N.A.</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://www.ecr-journal.ru/jour/article/view/1176">https://www.ecr-journal.ru/jour/article/view/1176</self-uri><abstract><p>Исследование посвящено изучению социального капитала регионов России в контексте их пространственного взаимодействия. Социальный капитал определяется величиной плотности социальных сетевых связей. Методологической основой исследования служат методы пространственной эконометрики, позволяющие проанализировать пространственное взаимодействие социально-экономических явлений. Для выявления возможности существования пространственных эффектов выбранных регионов РФ были рассчитаны глобальные индексы Морана. Оценивание пространственных эффектов производилось с помощью авторегрессионной модели SAR. Для получения матрицы объясняющих переменных применялись методы панельного анализа данных. Наилучший результат был получен с помощью модели с фиксированными эффектами, которая оценивает инвариантные переменные, одновременно контролируя индивидуальные эффекты. Все расчеты проводились с использованием соответствующего модуля в пакете STATA 16. В результате было установлено, что в контексте предлагаемого определения социального капитала существует положительная пространственная автокорреляция социального капитала соседних регионов РФ, что позволяет повысить качество полученных результатов моделирования.</p></abstract><trans-abstract xml:lang="en"><p>This study examines the social capital of the Russian regions in the context of their spatial interactions. Social capital is determined by the density of social network connections. The study’s methodological basis is spatial econometric methods, which allow for the analysis of spatial interactions between socioeconomic phenomena. To identify the possible existence of spatial effects in selected Russian regions, global Moran’s IQs were calculated. Spatial effects were estimated using an autoregressive SAR model. Panel data analysis methods were used to obtain a matrix of explanatory variables. Spatial effects were estimated with an autoregressive SAR model. Panel data analysis methods were used to obtain a matrix of explanatory variables. The best result was obtained using a fixed-effects model, which estimates the invariant variables while controlling for individual effects. All calculations were performed using the corresponding module in STATA 16. As a result, it was established that in the context of the proposed definition of social capital, there is a positive spatial autocorrelation of the social capital of neighboring regions of the Russian Federation, which makes possible to improve the quality of the obtained modeling results.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>регионы России</kwd><kwd>социальный капитал</kwd><kwd>индекс Морана</kwd><kwd>пространственная автокорреляция</kwd><kwd>модель SAR</kwd><kwd>пространственная эконометрика</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Russian regions</kwd><kwd>social capital</kwd><kwd>Moran’s index</kwd><kwd>spatial autocorrelation</kwd><kwd>SAR model</kwd><kwd>spatial econometrics</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">Балаш О.С. (2012). Пространственный анализ конвергенции регионов России // Известия Саратовского ун-та. 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