Issue |
E3S Web of Conf.
Volume 458, 2023
International Scientific Conference Energy Management of Municipal Facilities and Environmental Technologies (EMMFT-2023)
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Article Number | 05008 | |
Number of page(s) | 8 | |
Section | Low-Carbon Economy | |
DOI | https://doi.org/10.1051/e3sconf/202345805008 | |
Published online | 07 December 2023 |
Model for assessing risks and threats to socio-economic development of the region and their impact on economic growth
Volgograd State University, Volgograd, Russia
* Corresponding author: buyanovame@volsu.ru
Modern conditions of functioning of economic systems of various (macro-, meso- and micro) levels set new tasks, risks and threats to the state, which require their solution, minimization, prevention or leveling of consequences. The purpose of this study is to consider the reaction of economies and state authorities to the current digital transformation of regional economic systems. The study of conditions that positively or negatively affect the meso-economic space of the country will help to establish the most significant of the factors that determine the ability to internalize the potential of current changes and strengthen their own competitive positions with their help. Also, this study helps to identify the “pain” points of the regions, which reflect the problems in the adaptation of the country’s entities to digital dynamics, as well as to determine the directions of their solution and/or minimize the damage from the possible consequences of the implementation of threats. This, in turn, will create opportunities for regional authorities and other economic entities to adjust and coordinate their joint efforts to achieve the necessary indicators of economic growth of the regional economy. Achievement of the necessary values of indicators, in particular, will testify to the effective functioning of economic and institutional aspects of economic 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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