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Theoretical and Applied Economics
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MAIN PAGE > Journal "Theoretical and Applied Economics" > Contents of Issue № 01/2021
This issue is currently being formed. All articles presented on this page have already been included in this issue, are considered published, and will remain unchanged in the final version of the issue along with other metadata of the articles.
Учредитель: Даниленко Василий Иванович, w.danilenko@nbpublish.com
Главный редактор: Дегтярев Александр Николаевич, доктор экономических наук, кандидат технических наук, Aleks-degt@yandex.ru
Contents of Issue № 01/2021
Regional economy
Sukharev M. - Correlation between the levels of digitalization and economic indicators in Russian regions pp. 1-12

DOI:
10.25136/2409-8647.2021.1.34788

Abstract: This article is dedicated to examination of the questions of interinfluence of digital and traditional economy in the regions of the Russian Federation. On the one hand, digital economy stimulates the development of traditional economy; while on the other hand, digitalization requires acquisition of equipment, digital communication services, software, and recruitment of qualified personnel. The interaction of digital and traditional economies differs in the regions with commodity sector, industrial regions, mixed economy regions, metropolitan areas, and territories with low population density. The growing importance of digital economy in the overall development of the regions and the country requires comprehensive examination of digitalization processes with regards to both, economy and society. The scientific novelty consists in the use of big data for tracing correlations between the available indicators of development of digital economy and various aspects of traditional economy established in the Russian region. Based on the database of the Unified Interdepartmental Information Statistical System, the author constructed scatter diagrams, calculated correlation coefficients and trend lines to determine the interdependence of these indicators. The article examined the link between the number of personal computers in the region, level of public access to the Internet, GRP, cost of labor, and users of satellite communication systems. The author determines the instances of positive and negative interinfluence, and discusses the probable causes their different vector.
Mathematical modeling and instrumental methods in economics
Kochkarov A.A., Yatskin D.V., Kochkarov R.A. - Application of seepage theory methods for solving the tasks of flow planning in transport networks with consideration of their structural dynamics pp. 13-20

DOI:
10.25136/2409-8647.2021.1.34965

Abstract: This article reviews the theoretical-graph approach towards transport and logistic systems, which allows describing key details and processes that take place therein. The question of searching for an effective solution of transport and logistics tasks and dependence of such solutions to throughput of the system and the value of the seepage coefficient. This article offers to use seepage theory as an applied instrument for describing and solving transport and logistics tasks. The indicated approach is innovative and original, which may be very promising in the context of global transport planning and management. The essence of this method, based on adaptation of seepage theory for solution of the typical transport and logistics tasks, is reduced to operation of surface run-off and origin on the graph. The model for assessment of the global throughput of transport and logistics system is developed on the basis of the methods of seepage and multidrain flow models. The author offers a model calculation of the impact of holdups upon transport and logistics systems and the tasks solved thereof. A theoretical-graph model, which reflects the structure of transport and logistics system, describes the objects and processes common to transport and logistics tasks. The toolset of graph theory allows solving the specific transport and logistics tasks, as well examining the structural properties of the system, building predictive models, as well as developing new approaches towards solving of these tasks. The characteristics of graph are correlated with the actual network, system and task, as well as with the characteristics of transport or logistics flows examined for the purpose of optimization of topological structure of the system and solution of other tasks.
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