Diagnosis of Conditions for the Formation of Innovation Clusters in Russian Regions: Mathematical and Statistical Approach

Miron A. Yagolnitser^1,

¹Institute of Economics and Industrial Engineering, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia

Cite this paper:
Miron A. Yagolnitser. Diagnosis of Conditions for the Formation of Innovation Clusters in Russian Regions: Mathematical and Statistical Approach. International Journal of Econometrics and Financial Management. 2015; 3(1):38-43. doi: 10.12691/ijefm-3-1-7

Abstract

The methodical approach to the analysis of the spatial differentiation of conditions and factors in the development of innovative mesoeconomic systems (clusters) based on multi-dimensional classification of the resulting indicators in subspaces of overall economic efficiency of development of regions of the Russian Federation, the effectiveness of individual activities, the degree of development of small business and innovation indicators for regional development. The system of informative indicators for grouping regions on the resulting system gauges. In the resulting typologies tested the hypothesis of statistical significance of differences of quality characteristics of the institutional environment, the influence of factors of urbanization, etc.

Keywords:
innovation cluster institutional environment multidimensional classification statistical hypothesis testing

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