Proceedings of the 2nd International Scientific and Practical Conference “Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth” (MTDE 2020)

Statistical Model for Assessing the Impact of Digitalization on the Development of Municipal Formations in a Region

Authors
T.A. Burtseva, V.I. Aleshnikova, T.A. Beregovskaya
Corresponding Author
T.A. Beregovskaya
Available Online 5 May 2020.
DOI
10.2991/aebmr.k.200502.013How to use a DOI?
Keywords
digital economy, digital inequality, target model, evaluative standardization model, socio-economic development sustainability, federal subject, municipal formation
Abstract

The relevance of the study is determined by current trends in the development of world economy, Russian economy and the development issues in digital economy of federal subjects and municipal formations of Russia. It is challenging to assess the impact of digital environment on federal subjects and municipal formations and to make substantiated conclusions about the effectiveness of the national program “Digital Economy of the Russian Federation” due to absence of international standards in the field of statistical measurement of digital economy and low level of development of the national methodology for collecting, processing and analyzing statistical information about the state of digital economy. This article offers a solution to the scientific issue of creating integrated statistical measures of the influence of digital environment on the socio-economic development of federal subjects and municipal formations amid limited information resources. The article substantiates the use of the dynamic standard method as a solution for the issue. First, it enables a comprehensive accumulation of directly incommensurate figures; secondly, it ensures the possibility of an integrated assessment (an integrated measure that characterizes the system based on the property of interest as a whole while taking into account the interconnections of the elements within it); thirdly, it has a high informational capacity as it enables dynamic integrated assessments based on a large number of indicators amidst short period of observation. Two observation periods and three periods for representing its relative growth rate by indicators and groups (factors) of indicators are sufficient to create an integrated assessment using this method. The results of the study are: a target and evaluative standardization model of the impact of digital environment on the socio-economic development of federal subjects and municipal formations; a system of monitoring indicators of socio-economic development sustainability of municipal districts and city districts; testing of the evaluative standardization model illustrated by the case of municipal districts and city districts of Kaluga Oblast under the development of digital economy.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Scientific and Practical Conference “Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth” (MTDE 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
5 May 2020
ISBN
10.2991/aebmr.k.200502.013
ISSN
2352-5428
DOI
10.2991/aebmr.k.200502.013How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - T.A. Burtseva
AU  - V.I. Aleshnikova
AU  - T.A. Beregovskaya
PY  - 2020
DA  - 2020/05/05
TI  - Statistical Model for Assessing the Impact of Digitalization on the Development of Municipal Formations in a Region
BT  - Proceedings of the 2nd International Scientific and Practical Conference “Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth” (MTDE 2020)
PB  - Atlantis Press
SP  - 84
EP  - 90
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200502.013
DO  - 10.2991/aebmr.k.200502.013
ID  - Burtseva2020
ER  -