Abstract
In our manuscript we have made an attempt to study specific sides of Russian Federation's innovative development, analyze its impact in economy growth and provide main ways of innovative policy realization in different types of regions. The method is based on partial abstraction from the unique properties of each region, thereby uniting them into homogeneous groups using k-means method. Further analysis of the determination of the main factor at the level of country was carried out using decision trees functions with the subsequent collection of OOB errors. Group analysis was carried out using regression analysis. As a result, the authors obtained five types of regions (with a high, above average, average, below average, low level of innovative development), provided an individual characteristic for each group regarding the innovation development and identified prerogative innovative factors that can be considered by the state as a criterion for differentiating state policy and regulation of the development of innovation policy.
Highlights
Despite the ongoing transformation of Russian economy, started in the end of 80th, the sustainable economic growth has not yet been achieved
One of the main problems of the spatial development of the Russian Federation is the high percent of low-productivity and low-tech industries in the structure of Russian regions economy (Averina & Sirotin (2020).The solution of this problem mostly lies in accelerating of technological modernization of production, above all
Considering the fact that the balanced development of regions is an element of the economy development mechanism (Kok et al, 2021), one of the key factors of the improvement of innovations is the formation of a favorable innovation climate in the regions
Summary
Despite the ongoing transformation of Russian economy, started in the end of 80th, the sustainable economic growth has not yet been achieved. (Yang, 2020), small business development (Dubovitski & Klimentova, 2019, Nikitin et al, 2020), as well as a number of others, which largely determine the possibility of technology diffusion All these factors affect the economic only in certain institutional conditions (Hinings et al, 2018) and mostly depend on the performance of state and municipal policies (Kokovikhin et al, 2017, Maryasis, 2017, Bloom, 2019). The variance of Russian regions indicates the need to identify factors that have a decisive influence on the formation of the innovative environment in a particular region Disclosure of these factors can be regarded as the basis for improving regional innovation policy in order to overcome the socio-economic differentiation of regions.
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