Research performance and its impact on the innovation-driven development at the regional level

Abstract

Introduction . These days, the society attaches a particular importance to the innovative performance in the economy for faster economic growth. Purpose . The study is aimed to identify and quantify the impact of the research performance rate on the innovation -driven development at the regional level. Materials and Methods . The author analyzed the data taken from an official 2015– 2020 statistics book published by the Federal State Statistics Service. To analyze the impact of v arious types of research performance on innovation implementation, the author referred to a correlation analysis of the indicators characterizing the types of research performance and innovation performance at the regional level. Results . Theoretical analysis taken from the previous studies outlined the key types of research performance with the highest impact on the innovation performance. Correlation analysis revealed a strong stable connection between the analyzed indicators. This proves the fact that the development of various research performance types boosts innovation performance in the regions. The correlation regression analysis gave a regression model which could simulate the research- driven changes in the volume of innovative good s, services, and works at the regional level. The study offers a tool for the quantitative assessment of the research performance impact on the innovative performance of the entities – the research- to-innovation coefficient. Conclusion . The research- to -innovation coefficients were analyzed to differentiate the types of research performance by their impact on the innovation -driven development rate in the regions. The author offers theoretically important tools for quantitatively assessing the impact of various types of research performance on the innovative performance rate in the regions. The study gives a practically valuable quantitative assessment of the research- to -innovation transformations in the regions. This assessment could simulate a nd plan the development of innovative performance induced by the introduction of various scientific studies into the economic activities at the regional level.