Abstract
1-Introduction
2-Body
3-Conclusions
Acknowledgment
References
Abstract
The efficient clustering processes in the state provide sustainable development of the economy in general. The basis for the creation of effective clusters is the high level of development of the innovation system. In this article, the authors proposed a new approach to identifying point cluster growth through analysis of innovative development of the industry. This article contains the analysis of innovative development of manufacturing industries and assesses the impact of their innovation development at the GDP. A result of the research authors identified industries that are the points of cluster growth in the state economy.
Introduction
Prospects for the social and economic development of the state is significantly depend on the cluster development. The most effective clustering process is carried out in the innovative developed industries. The effective cluster policy of the state enhances competitiveness and innovative capacity. Therefore, the cluster state policy should be based on the industries that are the most innovative developed and have high growth potential. The purpose of the study is to develop a method of taxonomic evaluation of innovative development of industries in order to identify the points of cluster growth. We will use this method to investigate the industries of Russian economy and to identify the most innovative developed ones. We will also evaluate the impact of innovative development of industries at the GDP. We used the variety of theoretical and empirical research methods, including the literature review, the author’s taxonomic method of estimation of innovative development industries, as well as methods of stochastic analysis.