| Issue |
E3S Web of Conf.
Volume 458, 2023
International Scientific Conference Energy Management of Municipal Facilities and Environmental Technologies (EMMFT-2023)
|
|
|---|---|---|
| Article Number | 05021 | |
| Number of page(s) | 9 | |
| Section | Low-Carbon Economy | |
| DOI | https://doi.org/10.1051/e3sconf/202345805021 | |
| Published online | 07 December 2023 | |
Formation of strategic alternatives for the development of regional production and economic systems in industrial parks
1 State Scientific Center of the Russian Federation, I.P. Bardin Central Research Institute of Ferrous Metallurgy, Moscow, 105005, Russian Federation
2 Sevastopol State University, Sevastopol, 299053, Russian Federation
3 Kemerovo State University, Kemerovo, 650000. Russian Federation
* Corresponding author: o.nikitina@i-digit.ru
The article presents the results of research on the formation of strategic alternatives for the development of regional production and economic systems in industrial parks within the framework of the internal rating management mechanism. A generalized scheme of cognitive modeling is proposed, which is based on the synthesis of methods of cognitive analysis, principal components, expert analysis, econometric modeling, which makes it possible to increase the validity of the concepts of the cognitive model and scenarios for the development of regional production and economic systems in the system of industrial parks. The presented cognitive model makes it possible to develop scenarios for the implementation of strategic alternatives for the development of regional production and economic systems, evaluate their effectiveness, and choose the most appropriate development strategy for the current situation, ensuring their sustainable functioning in the system of industrial parks.
Key words: regional production and economic systems / strategic alternatives / industrial parks / scenarios / spatial dynamic assessment / cognitive modeling / development management
© 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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