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Influence Of Cluster And Network Collaboration Assessment On Regional Economy

In: 5th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2018

Author

Listed:
  • Vladimir Postnikov
  • M. Kamenskikh

Abstract

New knowledge and innovations have been developing as a resource of economic stability and growth in recent years. That is why territories become more dependent on the level of new knowledge and innovations. In view of the specified current trends of world economy development, which initiate generation functioning of a new type on the basis of the network concept, it is necessary to consider features of interaction of regional economy subjects in the context of cluster and network collaboration, as well as the concept of knowledge economy. This article is devoted to the research of the cluster and network collaboration importance in the region in the context of economic and innovative development. The main attention is paid to research universities, enterprises and authorities’ interactions, as these institutes are the main in the knowledge generation and commercialization processes through R&D, financing, state programs, etc. Based on the theory of network regional interaction, creation of the theoretical and mathematical models, which are reflecting influence of cluster and network interaction on the level of economic development, seems possible. Results of the modeling confirm a hypothesis about positive influence of cluster and network collaboration by regional economic development. Significant influence of the number of graduates and post-graduate students, R&D expenses and capital formation on GRP is revealed. This research might be used for working out management instruments for regional development.

Suggested Citation

Handle: RePEc:gvh:ssaeco:1ece76e8-e257-4f10-ab8d-e9efdfe65e99
DOI: 10.5593/sgemsocial2018/1.5/s05.066
Note: Published conference-proceedings chapter. Listed authors are the authors of this chapter only; book editor attribution has not been supplied. Original edition publisher: STEF92 Technology. Metadata and bibliographic references only; full-text access is governed by the publisher.
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