A significant role in the economic development of the country is given to the sector of small and medium-sized enterprises. In times of crisis its comprehensive support is one of the priority tasks of the government. In this connection the investigated business sector is under the close attention of country’s government and economists. The article analyzes the official statistical data on the main indicators of SME activity. It reveals a high correlation between the gross value added created by SMEs and the volume of innovative goods, works and services in the Russian Federation.
Relevance. Recently, the Russian economy has been experiencing a number of serious problems due to the sanctioning influence of Western countries and the spread of the COVID-19 epidemic. Together, these factors complicate the dynamic development of the country's economic complex in almost all directions, hindering the creation and generation of knowledge-intensive solutions. In this regard, research that helps to identify the trends and nature of reproductive processes in the regions, as well as the regularities of formation of optimal growth parameters when passing through the post-crisis phase of the socio-economic system, is of particular relevance.The purpose is a quantitative analysis of the quality of scientific and innovative transformations in the territories of the Russian Federation in the pre- and post-crisis periods of functioning of the economy.Objectives: to identify trends in the development of innovation potential of the regions in the context of two time phases (before and after 2014) according to two indicators: the average per capita turnover of innovative products and specific costs of research work. At the same time, it is proposed to link the studied results to the euro exchange rate.Methodology. The article considers the theoretical framework that reveals the peculiarities of the emergence and passage of crises by territories. The work is based on quantitative research methods (econometric and correlation and regression analysis). The data are systematized and synthesized thanks to freely available official statistics of the Federal State Statistics Service. Results. The maximum value of dynamics on the average per capita turnover of innovation products in the pre-crisis period was achieved in Moscow. In the post-crisis phase, the harshest drop in this indicator was also recorded for the Moscow region. In terms of specific R&D expenditures, none of the territories under consideration is characterized by positive transformations in 2014-20120 in relation to 2000-2013.Conclusions. The calculations confirm the existence of a protracted crisis in the reproductive sphere of the analyzed territories. In addition, a strong correlation between the states of the research and innovation sectors is quantitatively substantiated. In this regard, in order to move the country to a fundamentally different level of technological development there is a need to strengthen the support of the scientific base, as well as continuous monitoring of the achieved results.
: Over the past few years, the Russian Federation has been repeatedly exposed to external negative influences. The destabilizing effects of the pandemic and sanctions require special attention from the Government of the country. Various anti–crisis measures are being developed, including measures to support the most vulnerable socio–economic systems.The stability of the country’s economy to crisis manifestations depends on the level of economic development of individual subjects. Accordingly, it is necessary to systematically analyze their trends and monitor changes.This article presents the indicators of the Vladimir region. The dynamics of the population and average per capita income for the period 2010–2021 are graphically presented, as well as the forecast up to 2025. The article examines the change in the growth rates of the main socio[economic indicators for three periods: pre–crisis and crisis. To systematize the studied parameters, a factor analysis was carried out, which allowed them to be divided into 3 groups: fixed assets, the human factor and innovative activity. A high direct correlation was revealed between the latter and GRP.
The article examines the trends of innovative activity of the territories of the Russian Federation in the conditions of digitalization. A number of indicators characterizing the innovation potential of federal districts and the level of digitalization of organizations in the country are presented. Rosstat data were used for the analysis. Using the method of correlation and regression analysis, a high relationship was revealed between the indicators of internal costs in these areas of the economy. The resulting coefficient of determination indicates good approximation accuracy.
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