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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">guuvest</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник университета</journal-title><trans-title-group xml:lang="en"><trans-title>Vestnik Universiteta</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1816-4277</issn><issn pub-type="epub">2686-8415</issn><publisher><publisher-name>State University of Management</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26425/1816-4277-2023-10-105-114</article-id><article-id custom-type="elpub" pub-id-type="custom">guuvest-4819</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>РАЗВИТИЕ ОТРАСЛЕВОГО И РЕГИОНАЛЬНОГО УПРАВЛЕНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>DEVELOPMENT OF INDUSTRY AND REGIONAL MANAGEMENT</subject></subj-group></article-categories><title-group><article-title>Оценка пространственной неоднородности занятости в российских регионах</article-title><trans-title-group xml:lang="en"><trans-title>Assessment of spatial heterogeneity of employment in Russian regions</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5539-3145</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Васильева</surname><given-names>Р. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Vasilyeva</surname><given-names>R. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Васильева Рогнеда Ивановна – младший научный сотрудник.</p><p>Екатеринбург</p></bio><bio xml:lang="en"><p>Rogneda I. Vasilyeva - Junior Researcher.</p><p>Ekaterinburg</p></bio><email xlink:type="simple">ronav999@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7092-3842</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ампенова</surname><given-names>Д. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Ampenova</surname><given-names>D. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ампенова Дарья Максимовна – магистрант.</p><p>Екатеринбург</p></bio><bio xml:lang="en"><p>Darya M. Ampenova - Graduate Student.</p><p>Ekaterinburg</p></bio><email xlink:type="simple">daria.ampenova@urfu.me</email><xref ref-type="aff" rid="aff-2"/></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><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Уральский федеральный университет им. первого Президента России Б.Н. Ельцина</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Ural Federal University named after the First President of Russia B.N. Yeltsin</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>07</day><month>12</month><year>2023</year></pub-date><volume>0</volume><issue>10</issue><fpage>105</fpage><lpage>114</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Васильева Р.И., Ампенова Д.М., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Васильева Р.И., Ампенова Д.М.</copyright-holder><copyright-holder xml:lang="en">Vasilyeva R.I., Ampenova D.M.</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://vestnik.guu.ru/jour/article/view/4819">https://vestnik.guu.ru/jour/article/view/4819</self-uri><abstract><p>В исследовании рассматривается проблема пространственной неоднородности занятости в российских регионах. Несмотря на довольно высокие показатели по Российской Федерации (далее – Россия) и их положительную динамику, ситуация в регионах разительно отличается. При этом неоднородность распределения занятых между регионами может усиливаться в результате влияния одних территорий на другие. Целью настоящего исследования является оценка пространственной неоднородности и пространственных автокорреляционных эффектов между российскими регионами по численности занятых. В качестве основного метода исследования в работе применяется методология Морана для расчета локальных и глобальных индексов пространственной автокорреляции, а также методология Анселина для формирования пространственной матрицы. Результаты исследования демонстрируют, что среди российских регионов существует высокий потенциал к кластеризации по количеству занятых. При этом отчетливо выделяется группа западных регионов, которые имеют большую территориальную связность, характеризуемую выраженным пространственным взаимовлиянием. Результаты исследования могут быть использованы при разработке стратегий развития регионов России, в частности дальневосточных, а также при определении приоритетных целей развития.</p></abstract><trans-abstract xml:lang="en"><p>The article studies the problem of spatial heterogeneity of employment in Russian regions. Despite the rather high indicators for Russia and their positive dynamics, the situation in the regions is strikingly different. Heterogeneity of employment distribution between regions can be intensified as a result of the influence of some territories on others. The purpose of the study is to assess spatial heterogeneity and spatial autocorrelation effects between Russian regions in terms of employment. As the main research method, the paper applies Moran’s methodology to calculate local and global spatial autocorrelation indices and Anselin’s methodology to form a spatial matrix. The results of the study demonstrate that among Russian regions there is a high potential for clustering by the number of employed people. At the same time, a group of western regions is clearly distinguished, which have greater territorial cohesion characterized by pronounced spatial mutual influence. The results of the study can be used in formulating strategies for Russian regions development, in particular, the Far Eastern regions, as well as in determining priority development goals.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Занятость</kwd><kwd>пространственная неоднородность</kwd><kwd>пространственная автокорреляция Морана</kwd><kwd>матрица Анселина</kwd><kwd>регионы России</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Employment</kwd><kwd>spatial heterogeneity</kwd><kwd>Moran’s spatial autocorrelation</kwd><kwd>Anselin matrix</kwd><kwd>Russian regions</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Статья подготовлена в рамках государственного задания Института экономики Уральского отделения Российской академии наук на 2021–2023 гг. № 0327-2021-0019 «Моделирование пространственного развития территорий с позиции обеспечения экономической безопасности»</funding-statement><funding-statement xml:lang="en">The article was prepared within the framework of the state assignment of the Institute of Economics of the Ural Branch of the Russian Academy of Sciences for 2021–2023 No. 03272021-0019 “Modeling of territorial spatial development from the position of ensuring economic security”</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">Демьянова А.В., Рыжикова З.А. 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