Approach for Developing the Monitoring Large-Scale Digital Systems of the Regional Economy

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: Institute of Electrical and Electronics Engineers Inc.; 4 December 2021; 4 December 2021

Год издания: 2021

Идентификатор DOI: 10.1109/KNOTH54462.2021.9686324

Ключевые слова: agriculture industry, economic growth, large-scale digital systems, local markets, monitoring, regional economic

Аннотация: The study of how local markets' response impacts digital transformations at the macro-regional level is decisive in justifying the concept of monitoring large-scale digital systems. This allows the use of the digital component in the monitoring to assess the changes taking place in local markets. The proposed theoretical design of Показать полностьюthe monitoring model of large-scale digital systems uses the methodology of collecting and processing information about regional local markets based on GIS-technologies of digital economy and application of technologies of accounting inter-regional relations. Thus, this study shows the possibility of studying macroregional processes of localization using monitoring indicators, which is currently relevant in economic digitalization conditions, when multiservice digital infrastructure increases openness and connectivity of local markets. This confirms the effectiveness of described monitoring model of large-scale digital systems using the results of regional socio-economic development caused by activation of local markets changes. The higher the heterogeneous spatial systems of local markets, the stronger the influence of the digital component in macroregional infrastructure development, which affects the increase in productivity at the regional level. To assess the unevenness of digital platforms' spatial distribution within macroregion, this is possible to use the Williamson index and the Theil index to measure the concentration of the activity of local markets under the influence of digital technology. © 2021 IEEE.

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Издание

Журнал: 2021 International Symposium on Knowledge, Ontology, and Theory, KNOTH 2021

Номера страниц: 60-64

ISSN журнала: 00176811

Персоны

  • Krasnova T. (Khakas State University N.F. Katanova, Faculty of Economics and Management, Abakan, Russian Federation)
  • Dulesov A. (Siberian Federal University Branch, Khakas Technical Institute, Abakan, Russian Federation)
  • Pozdnyakov A. (Khakas State University N.F. Katanova, Faculty of Economics and Management, Abakan, Russian Federation)
  • Vilgelm A. (Khakas State University N.F. Katanova, Faculty of Economics and Management, Abakan, Russian Federation)

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