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Untura G.A. Institute of Economics and Industrial Engineering, Siberian Branch of Russian Academy of Sciences (IEIE SB RAS), Novosibirsk, Russian Federation ( email@example.com )
Kaneva M.A. Gaidar Institute for Economic Policy, Moscow, Russian Federation ( firstname.lastname@example.org )
Zabolotskii A.A. Institute of Economics and Industrial Engineering, Siberian Branch of Russian Academy of Sciences (IEIE SB RAS), Novosibirsk, Russian Federation ( email@example.com )
Journal: National Interests: Priorities and Security, #12,
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.
Gorbacheva N.V. Institute of Economics and Industrial Engineering of Siberian Branch of RAS, Novosibirsk, Russian Federation ( firstname.lastname@example.org )
Untura G.A. Institute of Economics and Industrial Engineering of Siberian Branch of RAS, Novosibirsk, Russian Federation ( email@example.com )
Journal: Finance and Credit, #36,
Subject The article presents a comparative analysis of financial performance results of a Russian large-scale advanced technology enterprise under the impact of tax preferences, which are effective in specific territories of federal significance, i.e. Territories of Advanced Development (TAD), Special Economic Zones (SEZ), and Skolkovo Innovation Center.
Objectives The purpose of the study is to present quantitative assessment of State support on financial performance of enterprise that implements a large-scale innovation project within PPP arrangements.
Methods The quantitative assessment of the impact of tax preferences rests on traditional methods of project analysis.
Results We present a review of different approaches to the assessment of the impact of State support. The article includes experimental calculations for the Russian advanced technology enterprise implementing the innovation project under PPP arrangements based on three scenarios of taxation in specific territories of federal significance (TAD, SEZ, and Skolkovo Innovation Center).
Conclusions and Relevance The comparative analysis of financial performance of specific Russian enterprise, which hypothetically was located in different specific territories of federal significance (TAD, SEZ, and Skolkovo Innovation Center), displays an important role of the State in increasing the private sector's interest in PPP projects. We prove the comparative advantage of tax preferences provided in Territories of Advanced Development.
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