Evaluation of the share of enterprises with high production growth rates according to data for 2020

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The purpose of the article is to evaluate the indicators describing the share of fast-growing enterprises and enterprises with high growth potential in the total number of active enterprises in the Russian regions. The study is based on official statistics for 2020 on the number of active enterprises in Russia, fast-growing enterprises, as well as enterprises with high growth potential. In the course of the research, the following relative indicators are studied: the share of fast-growing enterprises, the share of enterprises with high growth potential, the share of the number of such enterprises in the total number of active enterprises. These indicators are evaluated for all regions of the country; their average values and intervals of change typical for most regions are determined; regions with maximum and minimum levels of indicators are identified. The results obtained are of theoretical and practical significance. The results obtained are of theoretical and practical significance. The proposed methodological approach and tools can be used in scientific research on the demography of enterprises, for example, when monitoring the share of growing enterprises in the Russian regions. The results of the work can be applied in the current activities of state structures and public organizations, when justifying measures to support enterprises that are characterized by an increase in production volumes. In addition, the information obtained can be used to solve problems of increasing the share of fast-growing enterprises in regions, where such enterprises are not widely developed. The results of the work can be of interest to banks and credit institutions.

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Commercial organizations, enterprises, production volumes, goods and services, business demography, fast-growing enterprises, enterprises with high potential, economic and mathematical models, russian regions, normal distribution functions

Короткий адрес: https://sciup.org/147233913

IDR: 147233913   |   DOI: 10.14529/em210204

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