Abstract

Relevance of the research: The totality of national and regional innovation systems, implying sustainable interaction and cooperation between scientific, educational, government organizations and businesses, is the basis for the country's innovative and economic development. Due to the wide variety of systems existing in the world, it seems appropriate to identify the main problems and patterns of their development in the advanced and developing economies. The results of the study will help determine the directions for improving the regional policy of the Russian Federation in the field of innovation economics. The goal of this study is to analyze and summarize foreign experience in organizing national and regional innovation systems. Research methods and methodology: comparative analysis, system analysis, qualitative analysis, historical and economic analysis. Scientific novelty: We conducted a deep analysis and identified best practices for organizing national and regional innovation systems in developed (USA, France, Switzerland, Japan, Republic of Korea) and some rapidly developing countries (China, India, Brazil, South Africa, Colombia, Mexico). Results: The effectiveness of the national innovation system is largely determined by the level of interaction between scientific institutions and entrepreneurs. The development of innovation support infrastructure, the existence of targeted programs tailored to the demands of innovative businesses, as well as the coherence of the goals of the development programs at various territorial levels, contribute to an increase in the effectiveness of innovation activities. The degree of centralization of the innovation system directly depends on the political and administrative structure of the country. The effective development of innovative systems in the long run is only possible if the actual territorial, ethnical and cultural barriers are overcome, the operations of high-tech SMEs are stimulated, and the innovative capabilities of universities are increased.

Abstract

Relevance of the research: at the present time, a new round of competitive technological race, spurred on by the United States and China, is clearly visible. Even today, the budget for research and development in China and the United States is 20 times higher than the budget for R&D in Russia, which creates the risk of losing national technological sovereignty. The answer to this challenge could be the creation of super-regions territories of scientific and technological breakthrough, in which intelligence, research and innovation infrastructure are concentrated, where there are world-class campuses with high quality conditions, and effective interaction between business, science and education is organized. The aim of the study is to analyze the best world practices for creating technological super-regions in order to form an effective national innovation system and to develop conceptual proposals for creating technological super-regions in Russia. Research methods and methodology: comparative analysis, system analysis, quantitative and qualitative analysis, historical and economic analysis. Scientific novelty: the work contains a comprehensive analysis of the factors and mechanisms of formation of 10 global super-regions of the world with different spatial formats and genesis, which include: Silicon Valley (USA), urban innovation ecosystems of Boston (USA) and Cambridge (UK), Raleigh Research Triangle Durham Chapel Hill (Research Triangle Park, USA), Sophia Antipolis (France), Silicon Allee (Germany), Tsukuba (Japan), Bangalore-Karnataka (India), Shenzhen (China) and Guangzhou (China). An author's model of a super-region has been developed, as well as criteria for choosing locations for creating superregions. Results: based on the analysis of foreign practices, it was revealed that among the mechanisms for the formation of super-regions, a hybrid model prevails: government intervention is combined with the initiative of business and academic circles. The authors have developed a model of an innovative super-region, where in the center there are two equivalent factors the 'place' factor (everything that is created in a given location by a person) and the 'climate' factor (nature and climate that cannot be changed), as well as a set of selection criteria for potential locations. On the basis of the developed model, recommendations are proposed for choosing territories for creating innovation centers in Russia: in the short term, these include Greater Sochi (Adler, Krasnaya Polyana), New Moscow; in the medium term the southern coast of Crimea, Primorsky Krai and the Kaliningrad region.