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Impact of the Investment in Supercomputers on National Innovation System and Country’s Development

  • Yuri A. ZelenkovEmail author
  • Jibek A. Sharsheeva
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 753)

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.

Keywords

National inovation system Country’s development Investments in supercomputers Number of scientific publications PLS-SEM 

References

  1. 1.
    Acs, Z.J., Anselin, L., Varga, A.: Patents and innovation counts as measures of regional production of new knowledge. Res. Policy 31(7), 1069–1085 (2002)CrossRefGoogle Scholar
  2. 2.
    Adam, F.: Measuring National Innovation Performance. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  3. 3.
    Anderson, C.: The Long Tail: Why the Future of Business is Selling Less of More. Hyperion, New York (2006)Google Scholar
  4. 4.
    Castellacci, F., Natera, J.M.: The dynamics of national innovation systems: a panel cointegration analysis of the coevolution between innovative capability and absorptive capacity. Res. Policy 42(3), 579–594 (2013)CrossRefGoogle Scholar
  5. 5.
    Checkland, P.B.: Soft systems methodology. In: Rosenhead, J., Mingers, J. (eds.) Rational Analysis for a Problematic World Revisited, pp. 61–90. Wiley, Chicchester (2001)Google Scholar
  6. 6.
    Chin, W.: The partial least square approach for structural equation modeling. In: Marcoulides, G. (ed.) Modern Methods for Business Research, pp. 295–336. Lawrence Erlbaum, Mahwah (1998)Google Scholar
  7. 7.
    Drucker, P.: Post-Capitalist Society. Harper Business, New York (1993)Google Scholar
  8. 8.
    Guan, J., Chen, K.: Modeling the relative efficiency of national innovation systems. Res. Policy 41(1), 102–115 (2012)CrossRefGoogle Scholar
  9. 9.
    Hensler, J., Hubona, G., Ash Ray, P.: Using PLS path modeling in new technology research: updated guidelines. Ind. Manag. Data Syst. 116(1), 2–20 (2016)CrossRefGoogle Scholar
  10. 10.
    Howells, J.: Intermediation and the role of intermediaries in innovation. Res. Policy 35(5), 715–728 (2006)CrossRefGoogle Scholar
  11. 11.
    King, D.A.: The scientific impact of nations. Nature 430(6997), 311–316 (2004)CrossRefGoogle Scholar
  12. 12.
    Kotsemir, M.: Dynamics of Russian and World Science through the prism of international publications. Foresight Russ. 6(1), 38–58 (2012)CrossRefGoogle Scholar
  13. 13.
    Kotsemir, M., Kuznetsova, T., Nasybulina, E., Pikalova, A.: Identifying directions for Russia’s science and technology cooperation. Foresight Russ. 9(4), 54–72 (2015)Google Scholar
  14. 14.
    Kuznets, S.: Economic Development, the Family, and Income Distribution: Selected Essays. Cambridge University Press, Cambridge (2002)Google Scholar
  15. 15.
    Lundvall, B.-A.: National innovation systems - Analytical concept and development tool. Ind. Innov. 14(1), 95–119 (2007)CrossRefGoogle Scholar
  16. 16.
    Marcoulides, G.A., Chin, W.W.: You write, but others read. In: Abdi, H., et al. (eds.) New Perspectives in Partial Least Squares and Related Methods, pp. 31–64. Springer, New York (2013)CrossRefGoogle Scholar
  17. 17.
    OECD: Managing National Innovation Systems (1999)Google Scholar
  18. 18.
    OECD: Measuring Innovation: A New Perspective (2010)Google Scholar
  19. 19.
    Ranis, G., Stewart, F., Ramirez, A.: Economic growth and human development. World Dev. 28(2), 197–219 (2000)CrossRefGoogle Scholar
  20. 20.
    Raykov, T., Marcoulides, G.: A First Course in Structural Equation Modeling, 2nd edn. Lawrence Erlbaum Associates, Mahwah (2006)Google Scholar
  21. 21.
    Sanchez, G.: PLS path modeling with R (2013). http://www.gastonsanchez.com/PLSPathModelingwithR.pdf
  22. 22.
    Schmoch, U., Rammer, C., Legler, H.: National Systems of Innovation in Comparison. Structure and Performance Indicators for Knowledge Societies. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  23. 23.
    Sharif, N.: Emergence and development of the national innovation system concept. Res. Policy 35(5), 745–766 (2006)CrossRefGoogle Scholar
  24. 24.
    Schibany, A., Reiner, C.: Can basic research provide a way out of economic stagnation? Foresight Russ. 8(4), 54–63 (2014)Google Scholar
  25. 25.
    Todaro, M.R., Smith, S.C.: Economic Development, 12th edn. Pearson, New York (2015)Google Scholar
  26. 26.
    Zaichenko, S., Kuznetsova, T., Roud, V.: Features of interaction between Russian Enterprises and Research Organisations in the field of innovation. Foresight Russ. 8(1), 6–23 (2014)CrossRefGoogle Scholar
  27. 27.
    Zelenkov, Y.: Supercomputing in the context of the knowledge economy. In: CEUR Workshop Proceedings, vol. 1482, pp. 465–475 (2015)Google Scholar
  28. 28.
    Zelenkov, Y.: Enterprise information systems through the prism of scientific publications. Open Syst. DBMS 2, 44–46 (2016)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Financial University under the Government of the Russian FederationMoscowRussia

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