Small innovation enterprises: Russian data

Keywords: innovations, small innovative enterprises, regions of Russia, functions of normal distribution, assessment of the use of innovations.

Abstract

Increasing the innovation activity of small enterprises is an urgent problem in Russia and its regions. Innovations include both the production of new or improved products (goods and services) that are significantly different from previously produced products, and the introduction of new or more advanced production processes in enterprises that are significantly different from those that were previously used. The aim of the study was to assess the levels of innovation use based on the specific weight of small innovative enterprises in the total number of small enterprises in the regions of Russia. The study used mathematical modeling of empirical data for all regions and the construction of the corresponding density functions of the normal distribution. The official information of the Federal State Statistics Service for 2015, 2017 and 2019 was considered as the initial empirical data. The study included the study of indicators that characterize the share of small innovative enterprises. The average values of the indicators were determined, as well as the ranges of their changes in the regions of Russia. The conclusions of the study, which contain scientific novelty and originality, are as follows: it is proposed to use economic and mathematical models to evaluate the values of indicators that characterize the innovation activity of small enterprises; it is shown that almost every twentieth small enterprise in Russia showed a certain innovation activity during the period under review; it is shown that the values of the specific weights of small innovative enterprises in the total number of small enterprises were significantly differentiated by region; the regions with the maximum and minimum values of the specific weights of small innovative enterprises are identified.

 

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Author Biographies

I.S. Pinkovetskaia, Ulyanovsk State University, Ulyanovsk, Russia.

Economic analysis and State Management Department, Ulyanovsk State University, Ulyanovsk, Russia.

N.V. Schennikova, Penza State University, Penza, Russia.

Translation and Translation Studies Department, Penza State University, Penza, Russia.

L.I. Kryukova, Penza State University, Penza, Russia.

Translation and Translation Studies Department, Penza State University, Penza, Russia.

Y.V. Sadchikova, Penza State University, Penza, Russia.

Translation and Translation Studies Department, Penza State University, Penza, Russia.

L.A. Sudovchikhina, Penza State University, Penza, Russia.

Translation and Translation Studies Department, Penza State University, Penza, Russia.

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Published
2021-05-31
How to Cite
Pinkovetskaia, I., Schennikova, N., Kryukova, L., Sadchikova, Y., & Sudovchikhina, L. (2021). Small innovation enterprises: Russian data. Amazonia Investiga, 10(40), 54-61. https://doi.org/10.34069/AI/2021.40.04.6
Section
Articles