Abstract
The aim of the work is to analyze innovation dynamics and form tools for assessing the effectiveness of long-term innovation policy of Russian regions. Open official data were used to form the metric. They characterize innovative activity in the regions of Russia in the time interval from 2000 to 2018. The paper presents a methodology for the formation of a metric characterizing the innovative development of a region in two projections: long-term in the form of a rating of the severity of the trend of change in indicators of innovative activity and current, in the form of a rating of the level (value) of indicators of innovative activity.
The component of the metric characterizing the current state of innovative detail was calculated as the rank of the average value of the indicator for the period. The component of the metric characterizing the tendencies of change in innovative activity in the region was calculated the rank of the slope of the approximating curve, which was adjusted for the level of approximation reliability. The results of the ranking showed that ten regions with the minimum rating values almost completely coincide, both in terms of dynamics and in terms of the level of innovation activity. Among the leading regions in terms of emerging trends in innovative development, there is a significant proportion of relatively «weak» regions, that is, those with an average level of innovative activity, which can be explained by the «low base» of indicators. Regions with high rates of innovation activity demonstrate a very different level of innovation dynamics, which can be explained by both structural changes in the regions and the phenomenon of the «glass ceiling».
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Arthur, W.B.: Bounded rationality and inductive behavior (the El Farol problem). Am. Econ. Rev. 84(2), 406–411 (1994)
Beer, D.: Metric Power. Palgrave Macmillan, London (2016). https://doi.org/10.1057/978-1-137-55649-3
Fioramonti, D.L.: How Numbers Rule the World: The Use and Abuse of Statistics in Global Politics. Zed Books Ltd., London, New York (2014)
Muller, J.: The Tyranny of Metrics. Princeton University Press, Princeton (2018). https://doi.org/10.23943/9781400889433
Bortnik, I.M.: System for assessing and monitoring the innovative development of Russian regions. In: Bortnik, I.M., Senchenya, G.I., Mikheeva, N.N. et al. (eds.) Innovations – 2012, No. 9(167), pp. 48–61 (2012)
Volchik, V.V.: Climbing metrics. Terra Econ. 4, 6–16 (2018)
Dragun, E.A.: Analysis of methods for assessing innovative development on the example of the Samara region. Int. Sci. Res. J. 6(60), 17–21 (2017). https://doi.org/10.23670/IRJ.2017.60.125
Mikheeva, N.N.: On the issue of innovation ratings of Russian regions. Mod. Product. Forces 2, 54–67 (2013)
Regions of Russia: Appendix to the collection “Regions of Russia. Socio-economic indicators” (2019). https://www.gks.ru/storage/mediabank/pril-region19.rar. Accessed 03 June 2020
AIRR Rating: Rating of innovative regions of Russia Official website (2019). https://i-regions.org/reiting/rejting-innovatsionnogo-razvitiya. Accessed 05 June 2020
RIRR: Rating of innovative development of the constituent entities of the Russian Federation (2019). https://issek.hse.ru/rirr2019. Accessed 01 June 2020
Ryapukhina, V.N.: Assessment of the effectiveness of innovative development of regions: methodology and construction of the rating. Issues Innov. Econ. 8(3), 391–404 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Mashegov, P.N., Maslova, O.L., Poltorykhina, S.V., Fedorova, T.V., Rezvyakova, I.V. (2021). Analysis of Innovative Dynamics and Formation of Tools for Assessing the Efficiency of Long-Term Innovative Policy of Russian Regions. In: Popkova, E.G., Sergi, B.S. (eds) Modern Global Economic System: Evolutional Development vs. Revolutionary Leap. ISC 2019. Lecture Notes in Networks and Systems, vol 198. Springer, Cham. https://doi.org/10.1007/978-3-030-69415-9_166
Download citation
DOI: https://doi.org/10.1007/978-3-030-69415-9_166
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-69414-2
Online ISBN: 978-3-030-69415-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)