| Issue |
E3S Web of Conf.
Volume 402, 2023
International Scientific Siberian Transport Forum - TransSiberia 2023
|
|
|---|---|---|
| Article Number | 08009 | |
| Number of page(s) | 12 | |
| Section | Sustainable Transport Economics and Policy | |
| DOI | https://doi.org/10.1051/e3sconf/202340208009 | |
| Published online | 19 July 2023 | |
Cognitive analysis of sustainable regional economic growth factors
Volgograd State University, 400062 Volgograd, Russia
* Corresponding author: ea_petrova@mail.ru
In modern conditions of digital transformation of the economy, the task of ensuring sustainable, balanced growth of the region as a complex socio-economic system acquires a special role. One of the important areas of study of socio-economic systems is the analysis of patterns and trends in their development. The region should be considered as a complex system, consisting of a set of its subsystems and elements with many links. In order to solve this problem, we propose to use a cognitive approach to the study of the factors of sustainable economic growth of the region. This approach allows us to develop formalized models of interaction between various factors of complex, weakly structured systems. The aim of this research is to carry out a cognitive analysis of interregional and external factors of economic development, which allows highlighting their spatial location and the threats and risks of regional growth. Four resultant indicators of sustainable economic growth in the region are identified, and factor attributes are grouped into economic, social, demographic, and digital transformation indicators. The target factors of the cognitive map are defined, the connectivity analysis is carried out and the process of perturbation propagation in the graph is studied, which allows identifying the reserves for achieving sustainable economic growth in the region. The results of the study are explained in the cognitive maps of the interconnectedness of the region’s growth factors.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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