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Region: Economics and Sociology

2024 year, number 1

SCIENCE-BUSINESS COLLABORATION: REGIONAL INSIGHTS AND DEVELOPMENT PROSPECTS

N.A. Kravchenko1,2, V.D. Markova1,2, A.T. Yusupova1,2
1Institute of Economics and Industrial Engineering, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
2Novosibirsk National Research State University
Keywords: science-business collaboration, innovation ecosystems, research and innovation potential, technological potential, government support

Abstract

This article explores the challenges in collaboration between science and business within the context of innovation ecosystems, using the Siberian Federal District as a case study. A comparative analysis of research, innovation, and technological development across the district’s regions is conducted. The proposed positioning scheme places each region on a coordinate system representing scientific and technological potentials, reflecting their capacity for knowledge and innovation creation, as well as their ability to utilize and commercialize scientific advancements. The findings reveal distinct categories of regions: leaders with well-developed and balanced ecosystems (Novosibirsk and Tomsk Oblasts), regions with higher scientific potential than technological potential (Irkutsk and Omsk Oblasts, Krasnoyarsk Krai), regions with greater technological development than scientific capacity (Altai Krai, Kemerovo Oblast), and problematic territories (Altai, Tyva, and Khakassia Republics). The study advocates for the necessity of expanding both intra- and interregional interactions horizontally, fostering the exploration of new combinations of regional abilities and opportunities to enhance the sustainability and balance of ecosystems at different levels. The development of an innovation ecosystem in biopharm technologies is presented as an illustrative example of successful interactions among ecosystem participants. Furthermore, the research highlights the increasing role of state in shaping diverse ecosystem development models. It underscores the need for support forms and tools to consider regional nuances, emphasizing a significant expansion of the responsibilities of regional and local authorities.