Subject The article examines how knowledge spillover influences economic factors. Objectives The study evaluates how the growth rate of GRP per capita responds to the impact of expenditures on S&T, knowledge spillover due to geographical neighborhood, organization of economic activities, concentration and specialization of production enterprises and engineering efforts of people in the Russian regions. Methods The study relies upon the cross-sectional regression analysis of 80 regions and four sectors of economy by section of the Russian Classifier of Types of Economic Activity (OKVED). Results In those regions that have the moderate and definite specialization (Herfindahl–Hirschman index) the growth rate of GRP per capita appeared to be higher than the average of 80 regions. Analyzing economic sectors, we figured out that strong innovative regions had a higher growth rate of GRP per capita as compared to the other regions. Those regions that finance R&D demonstrated a growth in GRP per capita coupled with an increase in engineering efforts. Conclusions and Relevance Referring to calculations based on the 2013 data, we found the effect generated with a combination of two related groups of growth drivers increasing the growth rates of GRP per capita, i.e. investment in technological innovation and economic structure across regions that feature various economic sectors and industries or concentration of production enterprises. Our conclusions and recommendations are of applied nature with respect to goals set by the Strategy of Spatial Development of Russia.
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