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Название: Technological development of smart industrial regions in Russia: A cluster analysis
Авторы: Kumar, V.
Smirnova, O.
Chesnyukova, L.
Дата публикации: 2023
Издатель: EDP Sciences
Библиографическое описание: Kumar, V, Smirnova, O & Chesnyukova, L 2023, 'Technological development of smart industrial regions in Russia: A cluster analysis', E3S Web of Conferences, Том. 435, 03001. https://doi.org/10.1051/e3sconf/202343503001
Kumar, V., Smirnova, O., & Chesnyukova, L. (2023). Technological development of smart industrial regions in Russia: A cluster analysis. E3S Web of Conferences, 435, [03001]. https://doi.org/10.1051/e3sconf/202343503001
Аннотация: The article is intended to assess the level of technological development of Russian industrial regions using the method of statistical cluster analysis and discusses some special features associated with the formation of smart (promising) regional clusters. The work is based on the statistical data on production capacity, investments in scientific and technological progress, the level of production automation and other indicators characterizing the technological development of industry sectors. We evaluate these indicators and identify the regions with the highest level of technological development as well as those lagging behind the average values. The authors prove the importance of enhancing the industry's technological base to increase the competitiveness of the regions and the entire country. The positive impact of advanced technologies on the development of smart (promising) regional clusters is emphasized. © The Authors, published by EDP Sciences.
Ключевые слова: INDUSTRIAL REGIONS IN RUSSIA
INDUSTRY
STATISTICAL CLUSTER ANALYSIS
TECHNOLOGICAL DEVELOPMENT
URI: http://elar.urfu.ru/handle/10995/130955
Условия доступа: info:eu-repo/semantics/openAccess
cc-by
Текст лицензии: https://creativecommons.org/licenses/by/4.0/
Конференция/семинар: 7th International Scientific Conference on Cities of New Age: GLASS, REC 2023
Дата конференции/семинара: 27 June 2023 through 29 June 2023
Идентификатор SCOPUS: 85176550761
Идентификатор PURE: 48496412
ISSN: 2555-0403
DOI: 10.1051/e3sconf/202343503001
Сведения о поддержке: The article was prepared under the research plan for the Institute of Economics of the Ural Branch of the Russian Academy of Sciences.
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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Лицензия на ресурс: Лицензия Creative Commons Creative Commons