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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.4 20241031//EN" "https://jats.nlm.nih.gov/archiving/1.4/JATS-archive-oasis-article1-4-mathml3.dtd">
<article xmlns:ali="http://www.niso.org/schemas/ali/1.0/" 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" article-type="research-article" xml:lang="ru"><front><journal-meta><issn publication-format="print">2072-6414</issn><issn publication-format="electronic">2411-1406</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.17059/ekon.reg.2023-1-5</article-id><title-group xml:lang="en"><article-title>Comparative Assessment of Digitalisation in Russian Industrial Regions</article-title></title-group><title-group xml:lang="ru"><article-title>Сравнительная оценка цифровизации индустриальных регионов РФ</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1606-6963</contrib-id><name-alternatives><name xml:lang="en"><surname>Korovin</surname><given-names>Grigoriy B. </given-names></name><name xml:lang="ru"><surname>Коровин</surname><given-names>Григорий Борисович </given-names></name></name-alternatives><email>korovin.gb@uiec.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Institute of Economics of the Ural Branch of RAS</institution></aff><aff><institution xml:lang="ru">Институт экономики УрО РАН</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2023-03-30" publication-format="electronic"/><volume>19</volume><issue>1</issue><fpage>60</fpage><lpage>74</lpage><history><date date-type="received" iso-8601-date="2022-07-19"/><date date-type="accepted" iso-8601-date="2022-12-15"/></history><permissions><copyright-statement xml:lang="en">Copyright © 2023 Grigoriy B. Korovin</copyright-statement><copyright-statement xml:lang="ru">Copyright © 2023 Григорий Борисович Коровин</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="en">Grigoriy B. Korovin</copyright-holder><copyright-holder xml:lang="ru">Григорий Борисович Коровин</copyright-holder><ali:free_to_read/><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><license-p>CC BY 4.0</license-p></license></permissions><self-uri content-type="html" mimetype="text/html" xlink:title="article webpage" xlink:href="https://www.economyofregions.org/ojs/index.php/er/article/view/245">https://www.economyofregions.org/ojs/index.php/er/article/view/245</self-uri><self-uri content-type="pdf" mimetype="application/pdf" xlink:title="article pdf" xlink:href="https://www.economyofregions.org/ojs/index.php/er/article/download/245/172">https://www.economyofregions.org/ojs/index.php/er/article/download/245/172</self-uri><abstract xml:lang="en"><p>Technological and organisational opportunities provided by digitalisation to the society and economy can help improve the efficiency of industry and advance the development of industrial regions. The study aims to assess the digitalisation level and rate of industrial regions in comparison with the average Russian level. For this purpose, structural and dynamic analysis, as well as the method of grouping of various indicators from the official Russian statistics in the field of ICT were applied. It was hypothesised and confirmed that digital technologies are used more intensively in industrial regions. In terms of the use of basic information technologies, the values are higher by 1-7 %. Organisations in industrial regions are 3 % more likely to use global networks to interact with counterparts. There are also more enterprises (by 4 %) that have implemented automated data exchange with partners. Industrial regions have been using special design, production management and product lifecycle software 15 % more often since 2018. However, a hypothesis of a larger-scale implementation of advanced digital technologies in industrial regions has not been unequivocally confirmed. The values are higher only for indicators of the use of industrial robots (by 25 %), artificial intelligence technologies (by 12.4 %), digital platforms (by 3.4 %), geoinformation systems (by 4.7 %), the Internet of Things (by 4.3 %). The findings can be used to develop digitalisation strategies at the regional and federal levels. Variability of the regulatory framework for collecting statistics and underdeveloped terminology in the field of digital technologies can be considered as limitations to the application of the results. Further research may focus on building econometric and other models for implementing digitalisation in regions.</p></abstract><abstract xml:lang="ru"><p>Цифровизация предоставляет особые технологические и организационные возможности для общества и экономики, которые приведут к повышению эффективности промышленности, активизации развития индустриальных территорий. Целью исследования является оценка уровня и темпов цифровизации индустриальных регионов в сравнении с общероссийским уровнем. Применялись методы структурного, динамического анализа и группировки широкого круга индикаторов официальной статистики Росстата в сфере использования компаниями РФ информационных и коммуникационных технологий. Исследование показало, что можно считать подтвержденной гипотезу о более интенсивном использовании цифровых технологий в индустриальных регионах. Опережение по показателям использования базовых информационных технологий составляет 1–7 %. Организации в индустриальных регионах на 3 % чаще используют глобальные сети для взаимодействия с контрагентами, а реализовавших автоматизированный обмен данными с партнерами больше на 4 %. В индустриальных регионах с 2018 г. стали на 15 % чаще использовать специальное программное обеспечение, связанное с проектированием, управлением производством, жизненным циклом изделия. Гипотеза о более масштабном использовании в индустриальных регионах передовых цифровых технологий не нашла однозначного подтверждения. Опережение заметно только в области использования промышленных роботов (на 25 %), технологий искусственного интеллекта (на 12,4 %), цифровых платформ (на 3,4 %), геоинформационных систем (на 4,7 %), интернета вещей (на 4,3 %). Результаты исследования могут быть использованы для построения и развития стратегий цифровизации регионального и федерального уровней. Ограничением в применении результатов можно назвать подвижность нормативной базы сбора статистики и неустоявшуюся терминологию цифровых технологий. В дальнейшем это исследовательское направление может получить развитие в части построения эконометрических и иных моделей реализации процессов цифровизации регионов.</p></abstract><kwd-group xml:lang="en"><kwd>digitalisation</kwd><kwd>digital technologies</kwd><kwd>regional economy</kwd><kwd>industrial region</kwd><kwd>industry</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>цифровизация</kwd><kwd>цифровые технологии</kwd><kwd>региональная экономика</kwd><kwd>индустриальный регион</kwd><kwd>промышленность</kwd></kwd-group></article-meta></front><body/><back><ack xml:lang="en"><p>The article has been prepared in accordance with the state task for the Institute of Economics of the Ural Branch of the Russian Academy of Sciences.</p></ack><ack xml:lang="ru"><p>Статья подготовлена в соответствии с государственным заданием для ФГБУН Институт экономики УрО РАН.</p></ack><ref-list><ref id="en-ref1"><label>1</label><mixed-citation xml:lang="en">Abdrakhmanova, G. I., Gokhberg, L. 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