Neural network cluster analysis of sustainable economic development of the regions of the Russian Federation in the aspect of ESG principles-Reference-Cited by-同舟云学术

Neural network cluster analysis of sustainable economic development of the regions of the Russian Federation in the aspect of ESG principles

Published:2024-07-03 Issue:2 Volume:2024 Page:47-56
ISSN:2588-0071
Container-title:The Economy under Guard
language:en
Short-container-title:

Author:

Perova Valentina¹,Letiagina Elena¹^ORCID

Affiliation:

1. Lobachevsky State University of Nizhny Novgorod

Abstract

The sustainable development of the innovative economy in the regions of the Russian Federation is researched. From this position, the changes in the commissioning of capacities for the protection of water resources and atmospheric air from pollution, as well as the renewal of forests in Russia for the period 2017–2022 are presented. Taking into account the importance of responsible investment, investments in fixed assets aimed at environmental protection and rational use of natural resources of the Russian Federation in 2022 are given. The relevance of the research is due to the progress in the achievements of science and technology, as well as the existing strong competition. This requires the promotion of creative concepts in the management of sustainable socio-economic development of Russia. Such concepts may be based on consideration of ESG criteria: Environment — environment, Social — social development, Governance — corporate governance. In order to reduce the heterogeneity of the socio-ecological development of Russia, the multifactorial task of strategic management on the formation of a methodology based on ESG principles is analyzed. The authors propose a promising and productive method for solving multifactorial problems — neural network cluster analysis using information technology. It allowed us to distribute the regions of the Russian Federation into six cluster formations characterized by different levels of development in the perspective of ESG features according to a set of 11 indicators. The structure of clusters detailing the entry of Russian regions into them is given. The average values of the studied indicators of sustainable innovative development of the regional economy in each of the clusters and in the whole country are shown. It follows from the results of the work that the management’s focus on the synthesis of ESG principles and the productivity of responsible investment will become important components in the formation of strategies for the innovative development of the Russian economy. This will be one of the key factors in strengthening the economic security of the Russian Federation.

Publisher

Nizhny Novgorod Academy of the Ministry of the Interior of Russia

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