Dynamics of Road Infrastructure Support of Russian Regions’ Economic Subsystems

DOI

10.2991/aebmr.k.191225.004How to use a DOI?

Keywords

road infrastructure, virtual cluster, region, economic subsystem

Abstract

The article is devoted to the study of road infrastructure service parameters of economic subsystems in Russian regions. The maintained subsystems are the followings: mining, manufacturing, agriculture, investment, construction, trade, value added (gross regional product), population. Taking into consideration the significant number of regions in the Russian Federation, they are arranged into relatively homogeneous groups (virtual clusters) through cluster analysis. Representative regions nearest to the center of each cluster are identified in each virtual cluster. In case of significant number of regions in one virtual cluster, secondary clustering was performed to obtain groups that are more homogeneous. The article does not provide data on regions with the lowest rate of economic subsystems service due to the high heterogeneity of the virtual clusters obtained. Donor subsystems (characterized by a high level of service parameter) and recipient subsystems with a low level of service parameter are identified in each representative region. In relation to the representative regions, a dynamic analysis was undertaken, which allowed identifying the main trends in the service intensity of economic subsystems.

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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TY  - CONF
AU  - Anna Yu. Kosobutskaya
AU  - Mikhail. N. Bakhtin
PY  - 2020
DA  - 2020/01/07
TI  - Dynamics of Road Infrastructure Support of Russian Regions’ Economic Subsystems
BT  - Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019)
PB  - Atlantis Press
SP  - 17
EP  - 20
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.191225.004
DO  - 10.2991/aebmr.k.191225.004
ID  - Kosobutskaya2020
ER  -