Genetic Approach to Assessing the Infrastructure Coherence of an Industrial Region

Authors

DOI:

https://doi.org/10.17059/ekon.reg.2021-3-5

Keywords:

infrastructure coherence, genetic approach, infrastructure gaps, connectivity assessment, inherited management determinants, socio-economic development of the region, industrial region

Abstract

In the context of external shocks, socio-economic coherence of an industrial region reflects its ability to function successfully. Many researchers examine economic space, focusing on interaction between entities (including infrastructure) while ignoring territorial boundaries. However, it is necessary to consider a region's endogenous core, whose historically connected elements generate evolutionary changes under the influence of external factors. This study develops tools to assess regional infrastructure coherence, taking into account the endogenous determinants of its socio-economic development. The research methodology includes: a comparison of absolute and relative territorial characteristics and infrastructure development parameters; statistical, economic and mathematical methods for determining and evaluating the resulting indicators; an expert assessment of the infrastructure potential; a matrix method for identifying the depth of infrastructure gaps. An analysis of Sverdlovsk oblast and neighbouring regions revealed infrastructure gaps of the first level of depth (insignificant, significant, stably significant), violating the integrity of the regional core, as well as gaps of the second level of depth (forming, potentially forming), requiring serious transformations of the core elements. The conducted research determined the infrastructure coherence characteristics of the regional core. Thus, the most favourable situation is in Sverdlovsk oblast, whose core has strong integrity. The most unfavourable situation is observed in Perm Krai and Khanty- Mansi Autonomous Okrug. Perm Krai's core is characterised by minor gaps of the first level of depth and potential second level gaps. In Khanty-Mansi Autonomous Okrug, significant first level gaps are already established, while second level gaps are still forming. This situation occurred due to the industrial specificity of these regions, as well as the discrepancy between high economic activity (increasing the demand for transport services) and infrastructure development. Further research will focus on the ways to improve the regional connectivity at the intra- and inter-regional levels.

Author Biographies

Yuliya G. Myslyakova, Institute of Economics of the Ural Branch of RAS

Cand. Sci. (Econ.), Head of the Laboratory of Economic Genetics of the Regions, Institute of Economics of the Ural Branch of RAS; Scopus Author ID: 57190430830; Researcher ID: B-6076–2018; https://orcid.org/0000–0001–7635–3601 (29, Moskovskaya St., Ekaterinburg, 620014, Russian Federation; e-mail: mysliakova.ug@uiec.ru).

Svetlana N. Kotlyarova, Institute of Economics of the Ural Branch of RAS

Cand. Sci. (Econ.), Senior Research Associate, Laboratory of Economic Genetics of the Regions, Institute of Economics of the Ural Branch of RAS; Scopus Author ID: 55764203800; Researcher ID: V-5459–2017; https://orcid.org/0000–0001–8057–1986 (29, Moskovskaya St., Ekaterinburg, 620014, Russian Federation;e-mail: kotliarova.sn@uiec.ru).

Natalia A. Matushkina, Institute of Economics of the Ural Branch of RAS

Cand. Sci. (Econ.), Senior Research Associate, Laboratory of Economic Genetics of the Regions, Institute of Economics of the Ural Branch of RAS; Scopus Author ID: 57190430831; https://orcid.org/0000–0002–2484–7041 (29, Moskovskaya St., Ekaterinburg, 620014, Russian Federation; e-mail: matushkina.na@uiec.ru).

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Published

28.09.2021

How to Cite

Myslyakova, Y. G., Kotlyarova, S. N., & Matushkina, N. A. (2021). Genetic Approach to Assessing the Infrastructure Coherence of an Industrial Region. Economy of Regions, 17(3), 784–798. https://doi.org/10.17059/ekon.reg.2021-3-5

Issue

Section

Research articles