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Computer modelling of options of spatial development of scientific and technological sphere in the Russian Federation
 
PIIS042473880010525-6-1
DOI10.31857/S042473880010525-6
Publication type Article
Status Published
Authors
Nerses Khachatryan 
Occupation: Leading Researcher; Associate Professor at the Department of Business Analytics
Affiliation:
Central Economics and Mathematics Institute, Russian Academy of Sciences
National Research University Higher School of Economics
Address: Moscow, Russian Federation
Olga Kuznetsova
Occupation: Junior Researcher, Laboratory of Computer Modeling of Socio-Economic Processes
Affiliation: Central Economics and Mathematics Institute, Russian Academy of Sciences
Address: Moscow, Russian Federation
Journal nameEkonomika i matematicheskie metody
EditionVolume 56 Issue 3
Pages45-55
Abstract

 Scientific research affects all areas of our life. It’s not just a way to know the world around but it’s a source of innovations and new technologies.  In todays’ dynamic environment it is increasingly important for a state to produce innovations to remain competitive on a global scale in many different spheres whether it's economy, industry or space exploration. Therefore, the sphere of research and development (R&D) of a state should be treated as a matter of special national interest. However, the level of its development and effectiveness is still hard to assess. This article provides analysis of the regional R&D in the Russian Federation in order to assess their effectiveness, diversity and to forecast dynamics of their development. Another goal of the research is to evaluate how R&D spending influences its effectiveness. The research was conducted using an agent-based model (ABM) created by the authors. This method was used because it allows to simulate a system as close to reality as possible and to conduct a large number of experiments with different input. Main result of numerical experiments is a calculation of probable forecasted values of the regional R&D effectiveness in the Russian Federation as well as the assessment of the impact of financial spending on this indicator. The forecast obtained as a result of this research has shown that more than thirty regions have a negative trend of the R&D effectiveness independently from a possible increase of financial spending in this sphere.

 

 

Keywordsagent-based model, research and development, forecasting, Russian regions.
AcknowledgmentWork is performed under the program of RAS fundamental research "Multivariate challenges and risks of transition to a new stage of scientific, technological and economic development in Russia: fundamental and applied problems".
Received02.09.2020
Publication date04.09.2020
Number of characters27514
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