MODELING THE SPATIAL DISTRIBUTION OF ECONOMIC RESOURCES IN THE CONTEXT OF DIGITALIZATION

This article examines the impact of digitalization on the spatial distribution of economic resources. A theoretical review of key concepts and models underlying economic geography and the digital economy is conducted. It is shown that digital technologies are transforming traditional locational factors by reducing the importance of physical distance and increasing the role of digital infrastructure, data accessibility, and network connectivity. Modern modelling approaches are analyzed, including GIS, spatial econometrics, agent-based modelling, and big data analytics. Major challenges are identified: data scarcity, ethical risks, technological dynamism, and the digital divide. The paper outlines prospects for future research and emphasizes the need for an interdisciplinary approach to developing adaptive models of spatial development in the digital age.

Authors

Publication Details

Journal
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Published
2025-01-01
DOI
https://doi.org/10.36871/ek.up.p.r.2025.08.08.005
Primary Topic
Economic and Technological Developments in Russia
Type
article
Field-Weighted Citation Impact
0.00
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article

MODELING THE SPATIAL DISTRIBUTION OF ECONOMIC RESOURCES IN THE CONTEXT OF DIGITALIZATION

E. O. Vostrikova, Anna Suvorova, Anna R. Bezpalko, Alisher A. Toshpulotov
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Economic and Technological Developments in Russia
article

MODELING THE SPATIAL DISTRIBUTION OF ECONOMIC RESOURCES IN THE CONTEXT OF DIGITALIZATION

E. O. Vostrikova, Anna Suvorova, Anna R. Bezpalko, Alisher A. Toshpulotov
article en

Abstract

This article examines the impact of digitalization on the spatial distribution of economic resources. A theoretical review of key concepts and models underlying economic geography and the digital economy is conducted. It is shown that digital technologies are transforming traditional locational factors by reducing the importance of physical distance and increasing the role of digital infrastructure, data accessibility, and network connectivity. Modern modelling approaches are analyzed, including GIS, spatial econometrics, agent-based modelling, and big data analytics. Major challenges are identified: data scarcity, ethical risks, technological dynamism, and the digital divide. The paper outlines prospects for future research and emphasizes the need for an interdisciplinary approach to developing adaptive models of spatial development in the digital age.

EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYAVol. 8/8(160)
Openalex Percentile: Top 47%
Economic and Technological Developments in Russia
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