Tag: Regional economy

MODELING OF REGIONAL ECONOMIC DEVELOPMENT BASED ON INNOVATIVE CLUSTERS

Dmitry NAPOLSKIKH

Candidate of Economic Sciences, Associate Professor of the Department of Management and Law, Volga State University of Technology, Russia, Yoshkar-Ola

NapolskihDL@yandex.ru

Tatyana V. YALYALIEVA

Candidate of Economic Sciences, Professor of the Department of Management and Law, Volga State, University of Technology, Russia, Yoshkar-Ola

yal05@mail.ru

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.

JEL classification: O1, R58
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TRENDS AND PROSPECTIVE MODELS FOR THE FORMATION OF INNOVATIVE CLUSTERS IN THE RUSSIAN FEDERATION

Nina I. LARIONOVA

Doctor of Economic Sciences, Professor of the Department of Management and Law, Volga State, University of Technology, Russia, Yoshkar-Ola

nina_larionova@mail.ru

Tatyana V. YALYALIEVA

Candidate of Economic Sciences, Professor of the Department of Management and Law, Volga State, University of Technology, Russia, Yoshkar-Ola

yal05@mail.ru

Dmitry L. NAPOLSKIKH

Candidate of Economic Sciences, Associate Professor of the Department of Management and Law, Volga State University of Technology, Russia, Yoshkar-Ola

NapolskihDL@yandex.ru

Abstract

Paper deals with the dynamics of clusterization of the Russian economic space, reveals the main stages and prospects for the generation of the “fourth wave” of clustering. The purpose of this research is to offer a quantitative approach to identify regional clusters and their further parametrization within the framework of an integrated model of clustering the region’s economic space. Particular attention is given to organizational aspects of the clusters of microelectronics and information technologies in the Russian regions. The paper offers models for the organizational development of clusters based on the values of the Herfindahl-Hirschman Index and the concentration coefficients. The result of the analysis shows: successful cluster initiatives combine a developed innovative core, an essential industrial basis and a significant number of small and medium-sized forms of innovative entrepreneurship. Promising for the development of the high-tech industry in the Russian Federation is the conclusion that it is possible to synthesize organizational forms of economic development of forest industrial clusters and existing territorial production complexes in regions. Modeling of the development processes of innovative clusters made it possible to conclude that the state support of cluster policy remains relevant. The findings of the study are of scientific and practical interest in the framework of the problem of improving sectoral and regional clusterization strategies.

Keywords: industrial clusters, innovative multiclusters, cluster policy, regional economy, economic development

JEL classification: O1, R58
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REGIONAL STRATEGIES FOR DEALING WITH STRUCTURAL CHANGE

Eleonora CUTRINI

Associate Professor, Department of Law, University of Macerata

eleonora.cutrini@unimc.it

Enzo VALENTINI

Research Fellow,Department of Political Sciences, Communication and International Relations, University of Macerata

enzo.valentini@unimc.it

Abstract

In recent decades, the low economic performance of European countries has been mainly responsible for the emergence of an economic policy increasingly intended to strengthen the innovative and technology capacity of regions. In particular, the European periphery is lagging behind in the transition to a knowledge driven and eventually service-oriented economy. In a general context of de-industrialization and transition to service economy, and bearing in mind the policy debate at the EU level, the aim of this paper is to analyze the factors driving knowledge-intensive service specialization at the regional level in Italy. Our main research questions here can be summarized as follows: What determines the transition to Services and the specialization in Knowledge-Intensive Services (KIS) in Italy? What are the structural characteristics that may explain the regional variation of employment share in high-knowledge services? Using data on Italian regions over the period 1995-2014 (and spatial panel models as a methodology), the analysis carried out in the paper suggests some considerations: the “mere” (but needed) transition to service activities can be positively associated with R&D Personnel, Tertiary Education, University Attractiveness, Tourism and efficient infrastructure (Railroad). But the transition to Knowledge Intensive Services, supposed to pay higher wages, may deserve a more appropriate and focused public intervention, in view of the fact that it seems to be mainly associated with Public R&D, Tertiary Education and University Attractiveness.

Keywords: Structural Change, Specialization, Spatial Panels, Regional Economy

JEL classification: I25, O32, R11, R12

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