CORRELATION BETWEEN REGIONAL ECONOMY STRUCTURE AND DATA ECONOMY: SPECIFICITY OF THE PANDEMIC AND SANCTIONS PERIOD

  • J.A. Varlamova Kazan Federal University, Kazan, Russia
  • E.A. Kinzyabulatova Kazan Federal University, Kazan, Russia
  • D.M. Safina Kazan Federal University, Kazan, Russia
DOI: https://doi.org/10.34680/BENEFICIUM.2024.4(53).105-113

Abstract

The formation of a data economy and the spread of advanced digital technologies raises the question of how the sectoral structure of regional economies can promote or hinder the use of new technological solutions. The purpose of the study is to assess the relationship between the share of economic activities in the structure of the regional economy and the share of organizations using data economy technologies: Big Data, Artificial Intelligence, cloud technologies, Internet of things based on calculations of correlation coefficients. The findings of the analysis of data from the Federal State Statistics Service of the Russian Federation in 2020-2022 for 85 regions of Russia demonstrate the presence of stable correlations between sectors of regional economies and data economy technologies, differing depending on the type of technology: an inverse relationship between the high share of agriculture and the prevalence of Big Data technologies and the Internet of things, a direct relationship between the manufacturing industry, trading and the use of cloud technologies and Artificial Intelligence. Moreover, multidirectional relationships were identified, when a direct relationship can be traced between the share of a particular industry in the structure of the regional economy and one technology of the data economy, and the reverse – for another. The practical significance of the study lies in the empirical substantiation of the nexus between the sectoral structure of regional economies and the spread of Big Data technologies, Artificial Intelligence, cloud technologies and the Internet of things during the pandemic and sanctions, which can serve as the basis for developing recommendations for stimulating the spread of data economy technologies, considering the regional industry specifics.   

Keywords: Big Data, Internet of Things, Artificial Intelligence, cloud technologies, economic sectors pandemic, regional economy, sanctions, digital economy, data economy

References

  • Rozanova N.M. Industry 5.0: a Golden Age or a Leap into the Dark? // Vestnik Instituta Ekonomiki Rossiyskoy Akademii Nauk. 2023. Vol. 6. Рр. 61-77. (In Russ.). DOI: 10.52180/2073-6487_2023_6_61_77 
  • Clauberg R. Challenges of Digitalization and Artificial Intelligence for Modern Economies, Societies and Management // RUDN Journal of Economics. 2020. Vol. 28(3). Pp. 556-567. DOI: 10.22363/2313-2329-2020-28-3-556-567
  • Larionova M., Shelepov A. Opportunities and Constraints for G20 Leadership in Data Governance: Is There a Chance for Convergence in Approaches? // International Organisations Research Journal. 2023. Vol. 18(1). Pp. 7-32. (In Russ.). DOI: 10.17323/1996-7845-2023-01-01
  • Abdrahmanova G.I., Zinina T.S., Kiseleva E.V., Nečaeva E.G., Rudnik P.B, Frolov M.S. Monitoring cifrovoj transformacii biznesa [Monitoring digital business transformation]. Issue. 2. M.: NRU HSE, 2024. 16 p. (In Russ.). DOI: 10.17323/ISSEK_BDTM_2
  • Guo C., Chen J. Big Data Analytics in Healthcare. In book: Knowledge Technology and Systems. Singapore: Springer Nature Singapore, 2023. Pp. 27-70. DOI: 10.1007/978-981-99-1075-5_2
  • Milne D., Watling D. Big Data and Understanding Change in the Context of Planning Transport Systems // Journal of Transport Geography. 2019. Vol. 76. Pp. 235-244. DOI: 10.1016/j.jtrangeo.2017.11.004
  • Kirillov M.N., Mitin S.G. Regional Problems of Digital Development of Agriculture // Bulletin NGIEI.2024. Vol. 3(154). Pp. 98-106. (In Russ.). DOI: 10.24412/2227-9407-2024-3-98-106
  • Korovin G.B. Comparative Assessment of Digitalisation in Russian Industrial Regions // Economy of Regions. 2023. Vol. 19(1). Pp. 60-74. (In Russ.). DOI:17059/ekon.reg.2023-1-5
  • Bekbergeneva D.E. Approaches to the Content and Growth Points of the Knowledge Economy in the Digitalization of the Regional Economy // Journal of Economy and Business: theory and practice. 2020. Vol. 3-1(61). Pp. 27-29. (In Russ.). DOI: 10.24411/2411-0450-2020-10161
  • Varlamova J.A., Kadochnikova E.I. Determinants of the Use of Big Data Technologies by Organizations in Russian Regions // Journal of Applied Economic Research. 2024. Vol. 23(2). Pp. 422-451. (In Russ.). DOI:15826/vestnik.2024.23.2.017
  • Berger T., Frey C.B. Industrial Renewal in the 21st Century: Evidence from US Cities // Regional Studies. 2017. Vol. 51(3). Pp. 404-413. DOI:1080/00343404.2015.1100288
  • Gulin K.A., Uskov V.S. On the Role of the Internet of Things in the Conditions of Transition to the Fourth Industrial Revolution // Problems of Territory’s Development. 2017. Vol. 4(90). Pp. 112-131. (In Russ.).
  • Pinkovetskaia I.S. The Use of Information and Communication Technologies in Organizations taking into Account their Regional Deployment // Economics. Profession. Business. 2022. Vol. 3. Pp. 100-106. (In Russ.). DOI: 10.14258/epb202243
  • Malkina M.Yu. Stress in the Real Economy of Russian Regions under the Pandemic and Sanctions // Economy of regions. 2024. Vol. 20(1). Pp. 16-32. (In Russ.). DOI: 10.17059/ekon.reg.2024-1-2
  • Afanaseva O.G., Makushev A.E., Tolstova M.L., Stepanov A.V. Research of Russian Regional Farmers’ Digital Activity // Agrarian Science. 2022. Vol. 1(11). Pp. 165-173. (In Russ.). DOI: 10.32634/0869-8155-2022-364-11-165-173
  • Regiony Rossii. Social'no-ekonomicheskie pokazateli [Regions of Russia. Socio-economic indicators] (2023). Federal State Statistics Service. (In Russ.). URL: https://rosstat.gov.ru/folder/210/document/13204 (accessed on 20.06.2024).
  • Varlamova J.A., Korneichenko E.N. Artificial Intelligence in Russian Regions // Russian Journal of Economics and Law. 2024. Vol. 18. №3. Pp. 641-662. (In Russ.). DOI: 10.21202/2782-2923.2024.3.641-662
  • Zemtsov S.P. Potential for Creation and Implementation of Artificial Intelligence in the Russian Regions // Regional research. 2024. Vol. 1(83). Pp. 34-47. (In Russ.). DOI: 10.5922/1994-5280-2024-1-3

About the Authors

Julia A. Varlamova – Cand. Sci. (Economics), Docent; Associate Professor, Kazan Federal University, Kazan, Russia. E-mail: Julia.Varlamova@kpfu.ru. SPIN РИНЦ 8642-1558. ORCID 0000-0003-3255-9880. ResearcherID J-5897-2016. Scopus Author ID 56151161400

Elvina A. Kinziabulatova – Laboratory Assistant, Kazan Federal University, Kazan, Russia. E-mail: Elvinka2906@mail.ru. ORCID 0009-0005-9244-8009. ResearcherID LBH-4876-2024

Dinara M. Safina – Cand. Sci. (Economics), Docent; Associate Professor, Kazan Federal University, Kazan, Russia. E-mail: DinaraiArtur@yandex.ru. SPIN РИНЦ 7743-1998. ORCID 0000-0002-8695-1717. ResearcherID A-5852-2019. Scopus Author ID 36802433900

For citation: Varlamova J.A., Kinzyabulatova E.A., Safina D.M. Correlation between Regional Economy Structure and Data Economy: Specificity of the Pandemic and Sanctions Period // Beneficium. 2024. Vol. 4(53). Pp. 105-113. (In Russ.). DOI: 10.34680/BENEFICIUM.2024.4(53).105-113

Published
2024-11-29
Issue
No 4 (2024)
Section
REGIONAL SUSTAINABLE DEVELOPMENT