Abstract
The article investigates the dynamics of innovative regional production systems on the basis of the synergistic approach. Innovation dynamics is understood as nonlinear relations between nonequilibrium processes of capital renovation, technological changes, and economic growth in regional industrial systems. An algorithm for nonlinear modeling is proposed featuring a special procedure for data decomposition. Experimental data were partitioned into groups according to the principle of searching for local maxima and minima. A case study of two Russian industrial regions, i.e., Sverdlovsk and Novosibirsk oblasts, is used to show the nonlinear relationship between innovation dynamics and economic growth; maps of innovation dynamics are presented, as well as models of R&D cost efficiency. Necessary and sufficient conditions for innovation self-development are identified: partnership relations between all participants in investment and innovation activity, the presence of a closed innovation cycle “ideas-innovations-technologies-finances-production” within a region; an increase in the number of small innovative companies and elements of the innovation infrastructure; positive changes in the technological structure of the regional industrial system; the presence of a unified methodological framework of regional legislation, and some others.
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Original Russian Text © O.A. Romanova, A.V. Grebenkin, V.V. Akberdina, 2011, published in Region: Ekonomika i Sotsiologiya, 2011, No. 1, pp. 15–32.
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Romanova, O.A., Grebenkin, A.V. & Akberdina, V.V. Effect produced by innovation dynamics on the development of regional economic system (case study of Sverdlovsk and Novosibirsk oblasts). Reg. Res. Russ. 2, 214–224 (2012). https://doi.org/10.1134/S2079970512030082
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DOI: https://doi.org/10.1134/S2079970512030082