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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">mir</journal-id><journal-title-group><journal-title xml:lang="ru">МИР (Модернизация. Инновации. Развитие)</journal-title><trans-title-group xml:lang="en"><trans-title>MIR (Modernization. Innovation. Research)</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2079-4665</issn><issn pub-type="epub">2411-796X</issn><publisher><publisher-name>School of Public Administration</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18184/2079-4665.2020.11.2.196-215</article-id><article-id custom-type="elpub" pub-id-type="custom">mir-1037</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>ИННОВАЦИИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INNOVATION</subject></subj-group></article-categories><title-group><article-title>Оценка развития цифровой экономики на примере Европейского союза</article-title><trans-title-group xml:lang="en"><trans-title>Assessment of the Digital Economy Development on the Example of the European Union</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8540-7034</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Диденко</surname><given-names>Н. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Didenko</surname><given-names>N. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Диденко Николай Иванович, доктор экономических наук, профессор</p><p>195251, г. Санкт-Петербург, ул. Политехническая, д. 29 </p><p>ResearcherID: Q-2431- 2015</p><p>Scopus: 56105001600</p></bio><bio xml:lang="en"><p>Nikolay I. Didenko, Doctor of Economic Sciences, Professor</p><p>29, Polytechnitcheskaya st., St. Petersburg, 195251</p><p>ResearcherID: Q-2431-2015</p><p>Scopus: 56105001600</p></bio><email xlink:type="simple">didenko.nikolay@mail.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/0000-0003-3773-9098</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Скрипнюк</surname><given-names>Д. Ф.</given-names></name><name name-style="western" xml:lang="en"><surname>Skripnuk</surname><given-names>D. F.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Скрипнюк Джамиля Фатыховна, доктор экономических наук, профессор</p><p>195251, г. Санкт-Петербург, ул. Политехническая, д. 29 </p><p>ResearcherID: A-4838-2016</p><p>Scopus: 56104974500</p></bio><bio xml:lang="en"><p>Djamilia F. Skripnuk, Doctor of Economic Sciences, Professor</p><p>29, Polytechnitcheskaya st., St. Petersburg, 195251</p><p>ResearcherID: A-4838-2016</p><p>Scopus: 56104974500</p></bio><email xlink:type="simple">djamilyas@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кобылинский</surname><given-names>В. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kobylinsky</surname><given-names>V. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Кобылинский Владимир Вячеславович</p><p>Институт промышленного менеджмента, экономики и торговли</p><p>195251, г. Санкт-Петербург, ул. Политехническая, д. 29 </p></bio><bio xml:lang="en"><p>Vladimir V. Kobylinsky, Peter the Great St. Petersburg Polytechnic University</p><p>29, Polytechnitcheskaya st., St. Petersburg, 195251</p><p> </p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Санкт-Петербургский политехнический университет Петра Великого</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Peter the Great St. Petersburg Polytechnic University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>23</day><month>07</month><year>2020</year></pub-date><volume>11</volume><issue>2</issue><fpage>196</fpage><lpage>215</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Диденко Н.И., Скрипнюк Д.Ф., Кобылинский В.В., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Диденко Н.И., Скрипнюк Д.Ф., Кобылинский В.В.</copyright-holder><copyright-holder xml:lang="en">Didenko N.I., Skripnuk D.F., Kobylinsky V.V.</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.mir-nayka.com/jour/article/view/1037">https://www.mir-nayka.com/jour/article/view/1037</self-uri><abstract><p>Цель настоящей статьи – исследование методических подходов к оценке уровня развития цифровой экономики и использование результатов анализа для понимания направлений процессов развития цифровой экономики.</p><p>Методы или методология проведения работы. Методология исследования базируется на использовании элементов статистических методов и методов макроэкономического моделирования. Эмпирическая база представлена комплексом тематических материалов, включая статистические данные стран Европейского союза.</p><sec><title>Результаты работы</title><p>Результаты работы. В рамках исследования представлены различные трактовки содержания понятия «цифровая экономика», с указанием его наполнения в соответствии с эволюционным развитием общества и течением научно-технического прогресса. Рассмотрены подходы к измерению уровня развития цифровизации экономики в странах мира. Выявлено отсутствие общепризнанных в этой сфере универсальных показателей и методов. Проведен анализ развития цифровой экономики в странах Европейского союза с использованием индекса цифровой экономики и общества (Digital Economy and Society Index, DESI). Разработана модель, позволяющая осуществлять группировку стран ЕС с учетом уровня цифровизации их экономик и характерных признаков для каждой выделенной группы, что способствует повышению эффективности принятия управленческих решений в направлении развития цифровой экономики в конкретных условиях.</p></sec><sec><title>Выводы</title><p>Выводы. Анализ выявил дифференциацию в уровне развития стран Европейского Союза, обусловленную наличием существенных различий в стратегических приоритетах реализации направлений цифровизации экономики. Основным направлением цифровизации экономики следует рассматривать промышленное производство. Формирование интеллектуального производства на базе внедрения цифровых производственных и цифровых информационных технологий в основные этапы жизненного цикла продукта становится новой производственной парадигмой. В этом контексте формируются социокиберфизические системы, способные решать ключевые задачи цифровизации производственных систем и стать локомотивами роста новой экономики, с возможностью включения взаимосвязи с окружающей средой и социальной сферой за счет создания новых рабочих мест. Предложенная модель ориентирована на учет специфических особенностей развития страны (группы стран), что позволяет выявлять ключевые проблемы в развитии цифровой экономики и своевременно предпринимать необходимые меры для их решения.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Purpose</title><p>Purpose: the study methodological approaches to assessing the level of development of the digital economy and develop recommendations for improving digitalization development management processes.</p></sec><sec><title>Methods</title><p>Methods: the research methodology is based on the use of elements of various types of analysis, statistical methods and macroeconomic modeling methods. The empirical base is represented by a set of thematic materials, including statistical data from European Union countries.</p></sec><sec><title>Results</title><p>Results: the study presents various interpretations of the content of the concept of "digital economy", indicating its content in accordance with the evolutionary development of society and the progress of scientific and technological progress. Approaches to measuring the level of development of the digitalization of the economy on a global scale are considered. The absence of the universally recognized universal indicators and methods recognized in this field has been revealed. An analysis of the development of the digital economy in the countries of the European Union using the Digital Economy and Society Index (DESI) is carried out. A model has been developed that allows the grouping of EU countries taking into account the level of development of the digital economy and the characteristic features for each selected group of countries, which will increase the efficiency of managerial decisions in the direction of the development of CEs in specific conditions.</p><p>Conclusions and Relevance: the differentiation in the level of development of the countries of the European Union determines the presence of significant differences in strategic priorities in the implementation of the digitalization of the economy. The main direction of digitalization of the economy should be considered industrial production. A new production paradigm is the formation of intelligent production based on the introduction of digital production and digital information technologies in the main stages of the product life cycle. Sociocyberphysical systems capable of solving key problems, both in the digitalization of production systems and becoming the locomotives of the growth of the new economy, are being formed in this context. They have the ability to interact with both the environment and the social sphere through the creation of new jobs. The developed model is focused on taking into account the specific features of the development of a country (group of countries), allows you to identify key problems in the development of the digital economy and timely take the necessary measures to solve them.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>цифровая экономика</kwd><kwd>страны Европейского союза</kwd><kwd>группировка стран по уровню развития цифровой экономики</kwd><kwd>индекс DESI</kwd><kwd>направление цифровизации</kwd><kwd>интеллектуальное производство</kwd></kwd-group><kwd-group xml:lang="en"><kwd>digital economy</kwd><kwd>countries of the European Union</kwd><kwd>grouping of countries according to the level of development of the digital economy</kwd><kwd>DESI index</kwd><kwd>direction of digitalization</kwd><kwd>intelligent production</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">Авдеева И.Л., Головина Т.А., Парахина Л.В. 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