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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">finance</journal-id><journal-title-group><journal-title xml:lang="ru">Финансы: теория и практика/Finance: Theory and Practice</journal-title><trans-title-group xml:lang="en"><trans-title>Finance: Theory and Practice</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2587-5671</issn><issn pub-type="epub">2587-7089</issn><publisher><publisher-name>Financial University under The Government of Russian Federation</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26794/2587-5671-2022-26-6-233-252</article-id><article-id custom-type="elpub" pub-id-type="custom">finance-1876</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>БАНКОВСКИЙ СЕКТОР</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>BANK SECTOR</subject></subj-group></article-categories><title-group><article-title>Исследование пространственной гетерогенности и межрегиональных взаимосвязей в процессах привлечения банковского капитала в российскую экономику</article-title><trans-title-group xml:lang="en"><trans-title>The Study of Spatial Heterogeneity and Interregional Relations in the Processes of Attracting Banking Capital to the Russian Economy</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2464-6266</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Наумов</surname><given-names>И. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Naumov</surname><given-names>I. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Илья Викторович Наумов – кандидат экономических наук, старший научный сотрудник, кафедра экономики и финансов</p><p>Пермь</p></bio><bio xml:lang="en"><p>Il’ya V. Naumov – Cand. Sci. (Econ.), Sen. Research., Department of Economics and Finance</p><p>Perm</p></bio><email xlink:type="simple">ilia_naumov@list.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/0000-0002-2692-5656</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>Сергей Сергеевич Красных – младший научный сотрудник, кафедра экономики и финансов</p><p>Пермь</p></bio><bio xml:lang="en"><p>Sergey S. Krasnykh – Jun. Research., Department of Economics and Finance</p><p>Perm</p></bio><email xlink:type="simple">sergeykrasnykh@yahoo.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Пермский национальный исследовательский политехнический университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Perm National Research Polytechnic University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>31</day><month>12</month><year>2022</year></pub-date><volume>26</volume><issue>6</issue><fpage>233</fpage><lpage>252</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Наумов И.В., Красных С.С., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Наумов И.В., Красных С.С.</copyright-holder><copyright-holder xml:lang="en">Naumov I.V., 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://financetp.fa.ru/jour/article/view/1876">https://financetp.fa.ru/jour/article/view/1876</self-uri><abstract><p>Усилившаяся в последние годы пространственная гетерогенность в процессах привлечения банковского капитала в российскую экономику негативно влияет на темпы социально-экономического развития регионов. Цель работы – оценка динамики изменения пространственной гетерогенности в процессах привлечения банковского капитала в российскую экономику и моделирование системы межрегиональных взаимосвязей в данных процессах. Научная новизна исследования состоит в разработке методического подхода, предполагающего системное использование таких методов, как: пространственный автокорреляционный анализ по методологии П. Морана и Л. Анселина, регрессионный анализ с использованием панельных данных, тестирование причинно-следственных взаимосвязей по методу Гренджера, формирование матрицы функциональных зависимостей между региональными системами. Разработанный методический подход позволил подтвердить наблюдаемую сегодня тенденцию усиления пространственной гетерогенности в процессах привлечения банковского капитала в российскую экономику, выявить региональные центры с высоким уровнем его концентрации и сформировать матрицу межрегиональных взаимосвязей. Показано, что практически весь российский банковский капитал сегодня концентрируется в Москве, Санкт-Петербурге и Костромской области. Приток в экономику этих регионов банковского капитала приводит к его оттоку из регионов, обладающих обратными взаимосвязями (отрицательным индексом пространственной автокорреляции). Результаты исследования могут быть использованы органами исполнительной власти федерального и регионального уровней для поиска механизмов привлечения банковского капитала в экономику регионов. Одним из таких механизмов может стать снижение ключевой ставки Банка России и государственная поддержка региональных банков, использующих низкие процентные ставки для кредитования домашних хозяйств и предприятий реального сектора.</p></abstract><trans-abstract xml:lang="en"><p>Increased spatial heterogeneity in recent years in the processes of attracting banking capital to the Russian economy negatively affects the pace of socio-economic development of regions. The purpose of the research is to assess the dynamics of changes in spatial heterogeneity in the processes of attracting banking capital in the Russian economy and to model the system of interregional relationships in these processes. Scientific novelty of research is the development of a methodological approach involving the systematic use of methods such as: spatial autocorrelation analysis according to the methodology of P. Moran and L. Anselin, regression analysis using panel data, testing cause-and- effect relationships using the Granger method, formation of a matrix of functional dependencies between regional systems. The developed methodological approach allowed to confirm the trend of increasing spatial heterogeneity in the processes of attraction of banking capital in the Russian economy, to identify regional centers with a high level of concentration and formation a matrix of interregional relationships. It is shown that almost all Russian banking capital is now concentrated in Moscow, St. Petersburg and the Kostroma region. The inflow of bank capital into the economy of these regions leads to its outflow from regions with inverse relationships (negative index of spatial autocorrelation). The results of the research can be used by the executive authorities of the federal and regional levels to find mechanisms to attract banking capital in the economy of regions. One such mechanism could be a reduction in the key rate of the Bank of Russia and State support for regional banks that use low interest rates for lending to households and enterprises in the real sector of the economy.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>банковский капитал</kwd><kwd>панельный регрессионный анализ</kwd><kwd>пространственный автокорреляционный анализ</kwd><kwd>тест Гренджера</kwd><kwd>моделирование межрегиональных взаимосвязей</kwd><kwd>региональные системы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>banking capital</kwd><kwd>panel regression analysis</kwd><kwd>spatial autocorrelation analysis</kwd><kwd>Granger test</kwd><kwd>modeling of interregional relationships</kwd><kwd>regional systems</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследование выполнено за счет гранта Российского научного фонда № 21–78–10134, https://rscf.ru/project/21–78–10134/. Пермский национальный исследовательский политехнический университет, Пермь, Россия.</funding-statement><funding-statement xml:lang="en">The research was carried out at the expense of the Russian Science Foundation, project № 21–78–10134, https://rscf.ru/en/project/21–78–10134/ Perm National Research Polytechnic University, Perm, Russia.</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">Глазьев С. Ю. Приоритеты опережающего развития российской экономики в условиях смены технологических укладов. Экономическое возрождение России. 2019;(2):12–16.</mixed-citation><mixed-citation xml:lang="en">Glazev S. Yu. Priorities of the Russian economy’s accelerated development during the transition to a new technological mode. Ekonomicheskoe vozrozhdenie Rossii = The Economic Revival of Russia. 2019;(2):12–16. 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