Abstract
The article deals with the problem of asymmetry in the development of small and medium-sized businesses in the regions of Russia. The methodological basis is cluster analysis while identifying asymmetry. The analysis is carried out using the “R” for statistical data processing and graphing. The use of this programming language makes it possible to identify homogeneous groups of regions based on a variety of primary statistical indicators. This makes it possible to differentiate measures of state support and more effectively bring the development of regions to the target indicators of the development of small and medium-sized businesses.
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Tinkov, S.A., Tinkova, E.V., Kankhva, V.S. (2022). Assessment of the Asymmetry of Development and Support of Small and Medium-Sized Businesses in the Regions of Russia. In: Popkova, E.G. (eds) Imitation Market Modeling in Digital Economy: Game Theoretic Approaches. ISC 2020. Lecture Notes in Networks and Systems, vol 368. Springer, Cham. https://doi.org/10.1007/978-3-030-93244-2_62
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DOI: https://doi.org/10.1007/978-3-030-93244-2_62
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