Abstract
At all the stages of the design of new products and scientific research, numerical analysis becomes a key competitive advantage in contemporary economy. At the same time, the installation of large supercomputing facilities requires investments that in most cases are only possible with government support. Therefore, the evaluation of the influence of supercomputer technology on the national innovation system (NIS) and, ultimately, on the development of a country is a topical problem. We present in this article the results of a two-stage research. In the first stage, we built a model that relates the latent variables “country’s development”, “national innovation system”, “investments in supercomputers”, etc., and obtained quantitative estimates of these variables using the PLS-SEM method and based on data published by the World Bank, the OECD, the Human Development Index and the TOP500 ranking. Modeling results confirm that investments in supercomputers affect the NIS and are an essential component of a country’s development. This is especially important for the BRIC countries. In the second stage, we investigated the cross-correlation between supercomputing installed capacity and the number of scientific publications (data were taken from scimagojr.com). The cross-correlation coefficient for most countries and scientific areas is close to 1. This finding can be deemed as a confirmation of the significant impact that investments in supercomputers have on the results of scientific activity. Russia stands out with a rather negative result, demonstrating a much smaller value of the cross-correlation coefficient, which indicates a lower effectiveness of investments in supercomputers compared with other countries. A possible explanation of this fact is the existing structure of the NIS.
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Zelenkov, Y.A., Sharsheeva, J.A. (2017). Impact of the Investment in Supercomputers on National Innovation System and Country’s Development. In: Sokolinsky, L., Zymbler, M. (eds) Parallel Computational Technologies. PCT 2017. Communications in Computer and Information Science, vol 753. Springer, Cham. https://doi.org/10.1007/978-3-319-67035-5_4
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DOI: https://doi.org/10.1007/978-3-319-67035-5_4
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