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Issue № 63. August 2017

Evaluation of Clusters Influence on Regional Development Indicators Based on Correlation-regression Analysis

Julia V. Dubrovskaya, Elena V. Kozonogova, Daria A. Paculina

Julia V. Dubrovskaya — Ph.D., Associate Professor, Perm National Research Polytechnic University, Perm, Russian Federation.
E-mail: uliadubrov@mail.ru

Elena V. Kozonogova — graduate student, Perm National Research Polytechnic University, Perm, Russian Federation.
E-mail: elenaa.semenovaa@gmail.com

Daria A. Paculina — graduate student, Perm National Research Polytechnic University, Perm, Russian Federation.
E-mail: gierl59@mail.ru

In the article, the issues of innovative development and territorial socio-economic competitiveness are considered on the basis of cluster policy implementation. The objective of the study is to evaluate the impact of clusters on regional development in the domestic economy. The initial hypothesis was drawn from the well-known theoretical concept of the positive influence of clusters the regional development. In the course of the study, the authors have determined the integral factors of regional development in the domestic economy and analyzed their dynamics in the years 2013–2015. Then, by using the correlation-regression analysis methods the authors have determined the level of cluster structures influence on the parameters of the region’s development. The constructed econometric models did not confirm the hypothesis that the clusters have a positive effect on the indicators of regional development in Russia. According to the authors, this is a result of several difficulties in the implementation of the cluster policy: firstly, the relatively recent introductions the clusters; secondly, the formation of clusters according to the “top-down” scheme, when the development vector is set by the federal authorities; thirdly, the scale of the country’s territory, restraining cooperation ties and contributing to the significant cross-regional differences; fourthly, the unification of norms and rules of the country spatial arrangement. As it seems, solving these problems can improve the quality of clusters and their effectiveness for the regional and state-level development.

Keywords

Competitive advantages, clusters, cluster policy, regional development, econometric model.

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