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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">dgisocio</journal-id><journal-title-group><journal-title xml:lang="ru">Цифровая социология/Digital Sociology</journal-title><trans-title-group xml:lang="en"><trans-title>Digital Sociology</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2658-347X</issn><issn pub-type="epub">2713-1653</issn><publisher><publisher-name>Государственный университет управления</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26425/2658-347X-2024-7-3-15-23</article-id><article-id custom-type="elpub" pub-id-type="custom">dgisocio-324</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>ЦИФРОВАЯ СОЦИОЛОГИЯ: НАПРАВЛЕНИЯ ИССЛЕДОВАНИЙ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>DIGITAL SOCIOLOGY: RESEARCH AREAS</subject></subj-group></article-categories><title-group><article-title>Факторы, влияющие на региональное неравенство в сфере онлайн-торговли</article-title><trans-title-group xml:lang="en"><trans-title>Factors influencing regional disparities in online shopping</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1764-2240</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Олумекор</surname><given-names>М.</given-names></name><name name-style="western" xml:lang="en"><surname>Olumekor</surname><given-names>M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Олумекор Майкл, Научный исследователь</p><p>Екатеринбург</p></bio><bio xml:lang="en"><p>M. Olumekor, Research scientist</p></bio><email xlink:type="simple">molumekor@urfu.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Уральский федеральный университет имени 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>2024</year></pub-date><pub-date pub-type="epub"><day>20</day><month>10</month><year>2024</year></pub-date><volume>7</volume><issue>3</issue><fpage>15</fpage><lpage>23</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Олумекор М., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Олумекор М.</copyright-holder><copyright-holder xml:lang="en">Olumekor 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://digitalsociology.guu.ru/jour/article/view/324">https://digitalsociology.guu.ru/jour/article/view/324</self-uri><abstract><p>В последние годы в Российской Федерации (далее – РФ, Россия) наблюдается экспоненциальный рост онлайн-покупок. Этот рост значительно ускорился во время пандемии COVID-19. Однако данные свидетельствуют, что существуют межрегиональные различия в развитии онлайн-торговли. Это также касается различий между поколениями, городскими жителями и жителями сельской местности. В данном исследовании рассматриваются факторы, определяющие особенности в развитии онлайн-торговли в России. Автор выделил 5 основных факторов, которые могут повлиять на данное развитие: интернет-инфраструктура (измеряемая региональными расходами на внедрение цифровых технологий и количеством подключенных абонентов мобильной связи), экономическое благосостояние (измеряемое валовым региональным продуктом), уровень жизни (измеряемый уровнем доходов населения), уровень бедности и численность населения региона. В исследовании используются данные Федеральной службы государственной статистики и Ассоциации компаний интернет‑торговли для анализа 85 регионов РФ. Многоуровневый регрессионный анализ позволил изучить 5 факторов, а также контекстуальное влияние 8 федеральных округов России. Результаты показывают, что интернет-инфраструктура, экономическое благосостояние, численность населения и 8 федеральных округов оказали влияние на развитие онлайн-покупок в РФ, но уровень жизни не был статистически значимым. Автор рекомендует политикам обратить внимание на эти основополагающие факторы.</p></abstract><trans-abstract xml:lang="en"><p>Online shopping has grown exponentially in the Russian Federation (hereinafter referred to as RF, Russia) in recent years. This growth has significantly accelerated during the COVID-19 pandemic. However, data shows that there are inter-regional disparities in the use of online shopping. This includes intergenerational and rural-urban disparities. This study investigates the factors responsible for inter-regional differences in the development of online shopping in Russia. The author has identified 5 main factors that can influence the development: internet infrastructure (measured by regional expenses for the introduction of digital technologies and the number of connected mobile subscribers), economic wealth (measured by gross regional product), standard of living (measured by the population income), rate of poverty, and the region’s population. The research uses data of the Federal State Statistics Service and Association of Internet Trade Companies to analyse 85 regions in the RF. A multi-level regression analysis has enabled examination of the 5 factors and the contextual influence of 8 federal districts of Russia in level 2. The results show that internet infrastructure, economic wealth, population size, and the 8 federal districts has influenced the development of online shopping in the RF, but standard of living is not statistically significant. The author recommends that policymakers pay attention to these underlying factors.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Онлайн-торговля</kwd><kwd>интернет-магазины</kwd><kwd>электронная коммерция</kwd><kwd>цифровая экономика</kwd><kwd>информационные технологии</kwd><kwd>региональное неравенство</kwd><kwd>регионы</kwd><kwd>информационное общество</kwd><kwd>цифровой разрыв</kwd><kwd>цифровизация</kwd><kwd>цифровое общество</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Online shopping</kwd><kwd>internet shopping</kwd><kwd>electronic commerce</kwd><kwd>digital economy</kwd><kwd>information technology</kwd><kwd>regional inequality</kwd><kwd>regions</kwd><kwd>information society</kwd><kwd>digital divide</kwd><kwd>digitalisation</kwd><kwd>digital society</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">Городнова Н.В. Развитие цифровой экономики: теория и практика. 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