Abstract
The ideas of regional innovative development and the role of innovations in promoting economic growth are discussed. This study examines the differentiation and unevenness of regional development as well as a significant imbalance of regional innovation systems in Russia. The regions have been clustered in two directions “the research potential” and “the innovative performance,” which has allowed not only to estimate the stage of innovative development, but also to qualitatively identify existing imbalances in them. The cluster analysis of the Arctic regions has emphasized strong and weak sides and has carried out the typology of regions into some group for stimulation of innovative development and eliminating the narrow places and ensures continuity of the innovation cycle.
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
Association of Innovative Regions of Russia. (2014). Regional innovation development rating. [pdf] AIRR. Accessed July 1, 2015, from http://ruitc.ru/upload/iblock/84b/reyting_innovatsionnykh-regionov-_sayt_.pdf
Avilova, V. V., Andreev, E. M., Garifiev, I. Z., Zinudova, R. I., & Burganova, L. A. (2013). Regions of Russia: Knowledge society as a condition for implementation of the strategy of modernization. [e-book] Moscow: KNITU. Accessed July 1, 2015, from http://www.directmedia.ru/book_259394_regionyi_rossii_obschestvo_znaniya_kak_uslovie_realizatsii_strategii_modernizatsii_i_innovats/
Balakrishnan, P. V., Cooper, M. C., Jacob, V. S., & Lewis, P. A. (1994). A study of the classification capabilities of neural networks using unsupervised learning: A comparison with K-means clustering. Psychometrika, 59(4), 509–525.
Capello, R., & Lenzi, C. (2013). Territorial patterns of innovation: A taxonomy of innovative regions in Europe. The Annals of Regional Science, 51(1), 119–154.
Clarysse, B., & Muldur, U. (1999). Regional cohesion in Europe? An analysis of how EU public RTD support influences the techno-economic regional landscape. [pdf] European Commission. Accessed July 1, 2015, from ftp://ftp.cordis.europa.eu/pub/indicators/docs/ind_wp_um1.pdf
De Bruijn, P., & Lagendijk, A. (2005). Regional innovation systems in the Lisbon strategy. European Planning Studies, 13(8), 1153–1172.
Florida, R. (2007). The rise of the creative class: And how it’s transforming work, leisure, community and everyday life. Moscow: Classica XXI.
Furman, J. L., Porter, M. E., & Stern, S. (2002). The determinants of national innovative capacity. Research Policy, 31(6), 899–933.
Gokhberg, L. (Eds.). (2014). Regional innovation development rating: Analytical report. [pdf] Moscow: National Research University—Higher School of Economics (HSE). Accessed July 1, 2015, from http://cluster.hse.ru/doc/Innovation%20in%20the%20RF%20regions.2nd%20edition.pdf
Gusev, A. B. (2009). Rating the innovative development of the Russian regions. [online] Kapital-rus. Accessed July 1, 2015, from http://www.kapital-rus.ru/articles/article/2574
Hollanders, H. (2006). European regional innovation scoreboard 2006. [pdf] UNU-MERIT. Accessed July 1, 2015, from http://digitalarchive.maastrichtuniversity.nl/fedora/get/guid:a2baed37-ee71-41aa-b40c-eaea7eafc7e2/ASSET1
Kozyrev, V. V. (2007). On the mechanism of the program of innovative development of the Russian Federation implementation (from the perspective of scientific and technical staff’s experience). Innovations, 3, 17–26.
Medvedev, V. S., & Potemkin, V. G. (Eds.). (2002). Neuron nets. Matlab 6. Moscow: DIALOGMIFI.
Murtagh, F. (1996). Neural networks for clustering. In P. Arabie, L. Hubert, & G. De Soete (Eds.), Clustering and classification (pp. 235–269). Singapore: World Scientific.
Navarro M, Gibaja J. J., Aguado R., & Bilbao-Osorio B. (2008). Patterns of innovation in the EU-25 regions: A typology and policy recommendations. [pdf] European Commission. Accessed July 1, 2015, from http://www.orkestra.deusto.es/images/publicaciones/archivos/000283_WPS2008-04_English_version.pdf
Pogodaeva, T., Zhaparova, D., Ruenko, D., & Skripnjuk, D. (2015). Innovations and socio-economic development: Problems of the natural resources intensive use regions. Mediterranean Journal of Social Sciences, 6(1), 129–135.
Russian Federation Federal State Statistics Office. (2015). Regions of Russia: Economic and social indicators. [online] FSSO. Accessed July 1, 2015, from http://www.gks.ru/wps/wcm/connect/rosstat_main/rosstat/ru/statistics/publications/catalog/doc_1138623506156
Wintjes, R. & Hollanders, H. (2010). The regional impact of technological change in 2020. Synthesis report. [pdf] UNU-MERIT. Accessed July 1, 2015, from http://ec.europa.eu/regional_policy/sources/docgener/studies/pdf/2010_technological_change.pdf
Acknowledgments
The article is prepared on the basis of research carried out with the financial support of the grant RGNF (project №15-32-01350) “Innovative development of the Tyumen region’s circumpolar area: the possibility of localization and the effects of inter-regional cooperation.”
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing Switzerland
About this paper
Cite this paper
Pogodaeva, T., Rudenko, D., Zhaparova, D. (2017). Modeling of the Natural Resources’ Intensive Use Regions’ Innovative Development: Problems of Circumpolar Area Innovative System Formation. In: Bilgin, M., Danis, H., Demir, E., Can, U. (eds) Financial Environment and Business Development. Eurasian Studies in Business and Economics, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-39919-5_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-39919-5_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-39918-8
Online ISBN: 978-3-319-39919-5
eBook Packages: Business and ManagementBusiness and Management (R0)