Assessment of the level of sustainable development of regional industry using business statistics indicators


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Abstract

At the present stage of development of the economic space of the Russian Federation under the restrictions associated with the implementation of the special military operation, the industrial sector is the key element for progress. For the successful functioning of the economic system, both the dynamic prospects for industrial growth rates and the stability of these rates are important. On a scale of Russia, the effectiveness of the economy is ensured by the regions. The work deals with assessing the level of sustainable development of regional enterprises of the industrial sector using business statistics indicators. The factors influencing strategic planning and industry management are revealed. The author substantiated the use of business indicators in the analysis of the level of industrial development sustainability in the regional context using the K-means clustering method. The paper presents the author’s vision of the influence of domestic industrial areas and clusters on the assessment of the sustainability level. The author proposed the concept of assessing the levels of sustainable industrial development in regions based on a system of indicators formed from groups of business statistics indicators. Based on quantitative calculations of cluster analysis for the selected business indicators, five groups of regions with different levels of sustainable industrial development are identified. Comparing with a map of industrial territories of Russia and an atlas of industry, the inclusion of regions with industrial zones and clusters in them is analyzed. The identified comparisons reflect the proximity of the conducted assessment of the levels of sustainable industrial development of regions to the real situation. The results obtained can be used both when forming and implementing an industrial policy for each individual region and when creating and managing interregional industrial projects.

About the authors

Daria Sergeevna Laskova

Southern Federal University

Author for correspondence.
Email: dashalaskova78@gmail.com
ORCID iD: 0009-0003-9700-5915

junior researcher

Russian Federation, 344006, Rostov-on-Don, Bolshaya Sadovaya Street, 105/42

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