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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">RUDN Journal of Economics</journal-id><journal-title-group><journal-title xml:lang="en">RUDN Journal of Economics</journal-title><trans-title-group xml:lang="ru"><trans-title>Вестник Российского университета дружбы народов. Серия: Экономика</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2313-2329</issn><issn publication-format="electronic">2408-8986</issn><publisher><publisher-name xml:lang="en">Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">26013</article-id><article-id pub-id-type="doi">10.22363/2313-2329-2021-29-1-56-63</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>INNOVATIONS IN THE MODERN ECONOMY</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>ИННОВАЦИИ В СОВРЕМЕННОЙ ЭКОНОМИКЕ</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">China’s innovation race: future leader or outsider?</article-title><trans-title-group xml:lang="ru"><trans-title>Китай и инновационная гонка: будущий лидер или аутсайдер?</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Reshetnikova</surname><given-names>Marina S.</given-names></name><name xml:lang="ru"><surname>Решетникова</surname><given-names>Марина Сергеевна</given-names></name></name-alternatives><bio xml:lang="en"><p>PhD, Associate Professor of Economic and Mathematic Modelling Department at Economic Faculty</p></bio><bio xml:lang="ru"><p>кандидат экономических наук, доцент кафедры экономико-математического моделирования экономического факультета</p></bio><email>reshetnikova-ms@rudn.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Peoples’ Friendship University of Russia (RUDN University)</institution></aff><aff><institution xml:lang="ru">Российский университет дружбы народов</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2021-03-23" publication-format="electronic"><day>23</day><month>03</month><year>2021</year></pub-date><volume>29</volume><issue>1</issue><issue-title xml:lang="en">VOL 29, NO1 (2021)</issue-title><issue-title xml:lang="ru">ТОМ 29, №1 (2021)</issue-title><fpage>56</fpage><lpage>63</lpage><history><date date-type="received" iso-8601-date="2021-03-23"><day>23</day><month>03</month><year>2021</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2021, Reshetnikova M.S.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2021, Решетникова М.С.</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="en">Reshetnikova M.S.</copyright-holder><copyright-holder xml:lang="ru">Решетникова М.С.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">http://creativecommons.org/licenses/by/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rudn.ru/economics/article/view/26013">https://journals.rudn.ru/economics/article/view/26013</self-uri><abstract xml:lang="en"><p style="text-align: justify;">Today two main innovative determinants influence China’s position in the race to global leadership in artificial intelligence. The aim of the research was to assess Chinese innovative potential according to two criteria: artificial intelligence talents and hardware base. The analysis has provided a conclusive answer to the question about the prospects of China to achieve the position of a scientific and technological superpower. The presented data shows that global competition in artificial intelligence has toughened and there is a certain lag in the competence of Chinese talents and in the development of breakthrough microelectronic technologies. However, the dynamics of the Chinese artificial intelligence sector growth and the Big Government legal actions indicate that the changes may come very soon. Due to the growing uncertainty and technological confrontation between main innovative and technology competitors, the victory in the global race for China's artificial intelligence sector may not take place.</p></abstract><trans-abstract xml:lang="ru"><p style="text-align: justify;">Рассматриваются основные инновационные детерминанты, влияющие на лидерство Китая в области искусственного интеллекта, а также дается оценка, по каким из этих показателей удалось добиться успеха. Проведен сравнительный анализ по двум критериям, влияющим на инновационный потенциал: квалификация и общее количество пула специалистов, занятых в сфере искусственного интеллекта, и уровень развития материально-технической базы. Полученные результаты позволили сделать неутешительный вывод о перспективах Китая по достижению позиции научного и технологического лидера. Мировая конкуренция в области искусственного интеллекта ужесточилась, и налицо определенное отставание китайского сектора искусственного интеллекта от существующих лидеров, в первую очередь США, в области развития прорывных микроэлектронных технологий. Тем не менее динамика роста китайского сектора искусственного интеллекта и действия правительства указывают на то, что положительные изменения могут произойти очень скоро.</p></trans-abstract><kwd-group xml:lang="en"><kwd>China</kwd><kwd>AI</kwd><kwd>competitive innovation</kwd><kwd>R&amp;D</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>Китай</kwd><kwd>искусственный интеллект</kwd><kwd>инновационная гонка</kwd><kwd>НИОКР</kwd></kwd-group><funding-group><funding-statement xml:lang="en">This research was funded by the Faculty of Economics of the RUDN University, grant No. 060326-0-000.</funding-statement><funding-statement xml:lang="ru">Исследование выполнено при финансовой поддержке экономического факультета Российского университета дружбы народов, проект № 060326-0-000.</funding-statement></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Altenburg, T., Schmitz, H., &amp; Stamm, A. (2008). Breakthrough? 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