ISSN 2409-7616

Kulagin R.V.


UDC 330.341.13


Kulagin R.V.1 (Kazan, Russian Federation) –

1Kazan Federal University

Abstract. It is generally accepted that innovation stimulates the long-term economic growth of countries. exposure of many countries to diffusion of innovations in the centers of their groups When investing large resources in the development of innovations, it is necessary to address their effectiveness. The main indicator characterizing the effectiveness of the country’s innovation system is the innovation performance indicator. With the help of research by the World Intellectual Property Organization, there was a study of the contribution of human resources to the effectiveness of innovations and their results. The study was based on data from some developing countries, including Russia. The paper investigates the presence of a causal relationship between the description of categories. The main research method is the Granger pair test for the presence of causal relationships. This method has been applied to sample data for selected countries, and includes observation periods from 2012 to 2022. The results of the Granger test were supplemented by correlation analysis. The absence of a direct and unidirectional causal relationship with the results of a large number of investigated results of human qualities was revealed. It was also found that there is no proper level of correlation between human growth indicators and the dynamics of innovation results in the constitutions of countries. Based on the results of the study, it was concluded that there are structural problems in the extremely high levels of human growth in countries. Consideration has also been given to the fact that in some cases, including height, the increased value of human weight is greatly superior. The paper contains the relationship between the indicators. In view of this, the results of the research are spread in the field of public administration and public control. The studied indicators reflect the dynamics of the development of the country’s innovation system and allow us to correlate the behavior of different economies within this framework.

Keywords: human capital, innovations, global innovation index, innovation results, research and development, national innovation systems, innovation efficiency.


  1. Abdikeev N.M., Tyutyukina E.B., Bogachev Yu.S. Evaluation of the effectiveness of financial and economic mechanisms of state stimulation of innovation activity in Russia // Finance: theory and practice, 2018, vol. 22, no. 5, pp. 40-55. (In Russian). URL:
  2. Gelrud Ya.D., Ugryumov E.A., Rybak V.L. Vector model of autoregression of indicators of production activity of a construction enterprise. Bulletin of the South Ural State University. Series: Computational Mathematics and Informatics, 2018, vol. 7, no. 3, pp. 19-30. (In Russian). URL:
  3. Grigoriev R. A. Grainger causality for world exchanges: a set of solutions. Terra economicus, 2019, vol. 17, no. 3, pp. 146-168. (In Russian). URL:
  4. Lapochkina V.V., Kamensky A.S., Kornilov A.M. Regional state funds for support of scientific, scientific-technical and innovative activities: success, problems, foreign experience. Nauka. Innovation. Education, 2018, no. 2 (28), pp. 26-53. (In Russian). URL:
  5. Markova E.V., Al-Darabse A.M.F. Influence of innovations on economic growth. Bulletin of the Ulyanovsk State Technical University, 2019, no. 2, pp. 72-74. (In Russian). URL:
  6. Moiseev V.V., Kolesnikova Yu.S., Ignatov M.A. Actual problems of implementing state policy on the creation and development of human capital. Human capital, 2022, no. 6 (162), pp. 76-84. (In Russian). URL:
  7. Moiseev V.V., Kolesnikova Yu.S., Bozhenov S.A. Key factors in the formation of human capital in Russia. Human capital, 2022, vol. 1, no. 5 (161), pp. 128-136. (In Russian). URL:
  8. Pecheritsa G.V. Analysis of the nature of the causal relationship between inflation and GDP on the example of Colombia. New information technologies in scientific research NIT-2021, 2021. pp. 66-67. (In Russian). URL:
  9. Podvesovsky A.G., Isaev R.A. Identification of the structure and parameters of fuzzy cognitive models: expert and statistical methods. International Journal of Open Information Technologies, 2019, vol. 7, no. 6, pp. 35-61. (In Russian) URL:
  10. Sevryukova S.V., Kipen I.S. Influence of innovation processes on the innovation activity of enterprises. Actual issues of modern economics, 2020, no. 9, pp. 156-161. (In Russian). URL:
  11. Fedorova E.A. On the impact of foreign media on the Russian stock market: text analysis.  Economics and Mathematical Methods, 2020, vol. 56, no. 2, pp. 77-89. (In Russian). URL:
  12. Bennett D.L., Nikolaev B. Historical disease prevalence, cultural values, and global innovation. Entrepreneurship Theory and Practice, 2021, vol. 45, no. 1, pp. 145-174. DOI:
  13. Cristescu M.P., Nerișanu R.A. Sustainable Development with Schumpeter Extended Endogenous Type of Innovation and Statistics in European Countries. Sustainability, 2021, vol. 13, no 7, pp. 3848. DOI:
  14. Cui R. Pairwise comparison-based approach for predicting the ranking of global innovation capability. 2021 33rd Chinese Control and Decision Conference (CCDC). IEEE, 2021, pp. 2286-2290. DOI:
  15. Huarng K.H., Yu T.H.K. Analysis of Global Innovation Index by structural qualitative association.  Technological Forecasting and Social Change, 2022, vol. 128, pp. 121850. DOI:
  16. Yu T.H.K., Huarng K.H., Huang D.H. Causal complexity analysis of the Global Innovation Index. Journal of Business Research, 2021, vol. 137, pp. 39-45. DOI:

For citation:

Kulagin R.V. Influence of human capital on the global innovation index. CITISE, 2022, no. 4, pp. 601-611. DOI: