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Tendencies of Interaction between Russian Universities and Companies Implementing Innovative Development Programs

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  • Vladimir A. Pastukhov
  • Nikolay S. Kliman
  • Dmitry S. Alekseev

Abstract

The main aim of this article is to analyze key indicators and trends of global innovative development and their role in development. Attention is given to the consideration of several mechanisms of interaction between universities and state companies, with concrete measures and steps that can be used in economic policy.The authors analyze the real experience of the Russian economy now. Based on collected data for the total volume of R&D, revenues and the number of patents, regression models were constructed to determine the relationship between the named indicators.Recommendations and innovative ideas to improve the economic policy are given to achieve the goals and to justify the use of mechanisms of "compulsion to innovate" in state companies for the implementation of more productive development programs.

Suggested Citation

  • Vladimir A. Pastukhov & Nikolay S. Kliman & Dmitry S. Alekseev, 2018. "Tendencies of Interaction between Russian Universities and Companies Implementing Innovative Development Programs," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 686-707.
    • Handle: RePEc:ers:journl:v:xx:y:2017:i:3b:p:686-707
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    1. Nicole M. Fortin & Andrew J. Hill & Jeff Huang, 2014. "Superstition In The Housing Market," Economic Inquiry, Western Economic Association International, vol. 52(3), pages 974-993, July.
    2. Shum, Matthew & Sun, Wei & Ye, Guangliang, 2014. "Superstition and “lucky” apartments: Evidence from transaction-level data," Journal of Comparative Economics, Elsevier, vol. 42(1), pages 109-117.
    3. Torgler, Benno, 2007. "Determinants of superstition," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 36(5), pages 713-733, October.
    4. Thomas Kramer & Lauren Block, 2008. "Conscious and Nonconscious Components of Superstitious Beliefs in Judgment and Decision Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(6), pages 783-793, October.
    5. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    6. Brown, Philip & Chua, Angeline & Mitchell, Jason, 2002. "The influence of cultural factors on price clustering: Evidence from Asia-Pacific stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 10(3), pages 307-332, June.
    7. repec:cup:judgdm:v:10:y:2015:i:6:p:590-592 is not listed on IDEAS
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    Cited by:

    1. S.I. Gilmanshina & R.N. Sagitova & I.R. Gilmanshin, 2018. "Science Education: Development of Environmental Thinking," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 690-704.
    2. Baturina O.E. & Erokhina T.B. & Fedko V.P. & Shaginyan S.G., 2019. "Development of the University Image Positioning Methods in the Context of its Marketing Strategy," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(Special 2), pages 309-316.
    3. S.I. Gilmanshina & R.N. Sagitova & I.R. Gilmanshin, 2018. "Science Education: Development of Environmental Thinking," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 690-704.

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