MODELING OF REGIONAL ECONOMIC DEVELOPMENT BASED ON INNOVATIVE CLUSTERS

Dmitry Napolskikh () and Tatyana V. Yalyalieva ()
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Dmitry Napolskikh: Candidate of Economic Sciences, Associate Professor of the Department of Management and Law, Volga State University of Technology, Russia, Yoshkar-Ola
Tatyana V. Yalyalieva: Candidate of Economic Sciences, Professor of the Department of Management and Law, Volga State, University of Technology, Russia, Yoshkar-Ola

Regional Science Inquiry, 2019, vol. XI, issue 2, 73-81

Abstract: The subject of the research is improvement of methodological tools for modeling economic development based on the formation of innovative clusters of environmental management within the region economic space. The aim of the work is to develop an economic-mathematical model for the formation of innovative clusters, expanding the methodological potential of forecasting and planning territorial development. Special attention is paid to the peculiarities of innovative cluster development process, which determine the initial conditions of the problem of finding the optimal spatial location and long-term development of industrial production in the cluster. The problems of optimization of spatial distribution of new and development of existing industries in the process of implementation of the cluster initiative are considered, approaches to mathematical modeling of formation and development of innovative clusters are generalized. The features of the economic-mathematical model of the formation of innovative cluster of environmental management are identified. The problem of optimizing economic development for territory on the basis of innovation cluster are formulated.

Keywords: economic clustering; innovation clusters; environmental management; optimization of economic development; economic-mathematical model; territorial development; industrial policy; regional economy; old-industrial regions; resource-producing industries; inter-sectoral interaction. (search for similar items in EconPapers)
JEL-codes: O1 R58 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (9)

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