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Statistical Analysis of Technological Partnership between Russia and Foreign Countries

Student: Vilkova Ol`ga

Supervisor: Marina Arkhipova

Faculty: School of Statistics, Data Analysis and Demography

Educational Programme: Bachelor

Year of Graduation: 2014

Despite certain potential in scientific achievements and human capital, current circumstances do not contribute to mass production of innovations with global competitiveness within Russia. Inability to meet competition is provided with inclination to adapting foreign production whereas getting additional global competencies by means of cooperation practices in very rare cases. That is why studying of cooperation types and its peculiarities, effects on export-oriented output and shipping allows to show representative performance of innovation effectiveness.According to the logics and databases from both local and international official statistical departments, a framework determining technological cooperation as crucial component of global competencies detecting was developed. In terms of this methodology, descriptive analysis of Russia’s position was performed by groups of determinants characterizing local cooperation in context of overall innovation activity. The basic concept given as a result of this research confirmed the presence of significant differentiation among regions, what allowed using structural-cluster approach as fundamental for following modelling.On stage previous to econometric modelling, the development sample was constructed by outlier extraction and missing values completion based on spline-interpolation. By context of structural-cluster approach a search for optimal classification of regions grouped by uniform innovation activity was to be done. The classification check was performed by discriminant method. The integral indicator made by principal component was innovation effectiveness to estimate and region rating to perform. This rating contained a part of expert group estimate which was calculated by paired-comparison method and analysis of inquiries devoted to quality and conditions of innovation activity. Expert adjustments became essential corrections in regression analysis which defined logistic regression as with maximum explanatory power concerning inclination to international technological cooperation within Russian export-oriented production framework.As the results, Russia is relatively weakly integrated in international technological sphere but inclined to demonstrate high capacities – there are several factors which stimulation leads to innovation effectiveness and getting new global competencies to a greater extent. To sum up, a list of recommendations was performed; according to this blueprint of innovation development, overseas partners involvement makes it possible to favorable innovation infrastructure organization.

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