Abstract
The main objective of this article is to provide a rationale for mathematical models describing the innovation resonance in industrialized regions. The article presents a thorough analysis of trends in the development of Russian industrialized regions, which is then used as the basis to advance and test several hypotheses, such as the hypothesis of uneven economic development in different types of industrialized regions (regions strengthening their industrial status, newly industrialized regions and deindustrialized regions), hypothesis of individual characteristics in the development of certain types of industrialized regions, hypothesis of the state acting as catalyst in innovation dynamics, hypothesis of innovation resonance existing in economic system. The authors propose the methodology of innovation resonance, describe the conditions required for the emergence of resonance in the economic system, and provide a rationale for the types of resonance response. The main methods used in this article are as follows: resonance control method, reproduction method, methods of economic and mathematical modeling. The authors propose a mathematical formalization for the mechanism of innovation resonance in the regional industrial system, including: a) A model for generating investment by industrial sectors and reproduction sectors; b) Dynamic multi-sector reproduction model; c) Adaptive management model for innovative self-development of the regional industrial system; g) A model for the sustainability of innovation dynamics and expanded reproduction. The authors study the innovation resonance in Russian industrialized regions. In the context of innovation resonance, the authors review the functional industrial policy of a typical industrialized region and resonance responses related to its implementation. The results of the study presented in the article can be used in substantiating the mechanisms of regional industrial policy, and to assess the regulatory impact of existing regulatory and legal acts.
Highlights
The trends of global economic development suggest that there is no alternative to reindustrialization [1, 2, 3, 4], the defining vector of which is the development of high-tech industries both on the scale of national economies [5, 6, 7, 8] and within individual, primarily, industrialized regions [9, 10, 11, 12, 13]
To solve the problem of overcoming the abnormal co-existence of multiple techno-economic paradigms and building the high-tech sector in industrialized regions, we proposed the methodology of innovation resonance, which refers to the phenomenon of accelerated development in the economic system exposed to wave dynamics as a result of periodic change in the innovation and technology parameters through catalytic mechanism built into the Science-State-Business relationship, a triad synergistic system
The research study proved that the quantitative essence of innovation dynamics is the innovation response, which is understood in terms of the synergistic approach and reflects the non-linear relationships of non-equilibrium processes of capital renovation, technological change, social and economic growth in economic systems
Summary
The trends of global economic development suggest that there is no alternative to reindustrialization [1, 2, 3, 4], the defining vector of which is the development of high-tech industries both on the scale of national economies [5, 6, 7, 8] and within individual, primarily, industrialized regions [9, 10, 11, 12, 13]. Some industrialized regions are experiencing an objective process of deindustrialization, associated with a significant decline of the share of industrial sector in the Gross Regional Product (GRP), and are evolving into a consumer type economy. Other industrialized regions are going through reindustrialization, associated with the change in the share of traditional industries amid the rise of high-tech production sector. To identify the particular aspects of deindustrialization and reindustrialization in the Russian regions, we have studied the regions where the share of processing industries in GRP exceeded 25 % in 2004–2012. The use of the single-criterion method for classifying the regions as industrialized has been sufficiently substantiated in scientific papers of the Council for Study of Productive Forces [14], regulatory documents of the Ministry of Regional Development of the Russian Federation, analytic and scientific literature [15, 16]. It is difficult to analyze the period prior to 2004, because the share of processing industries was separated in the statistical accounting only following the transition from the concept of OKONKh (All-Russian Classifier of National Economy Sectors) to the one of OKVED (All-Russian Classifier of Economic Activities)
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