| Issue |
SHS Web Conf.
Volume 128, 2021
XVII International Scientific and Practical Conference on Sustainable Development of Regions (IFSDR 2021)
|
|
|---|---|---|
| Article Number | 04009 | |
| Number of page(s) | 18 | |
| Section | Socio-economic Systems Management | |
| DOI | https://doi.org/10.1051/shsconf/202112804009 | |
| Published online | 15 December 2021 | |
Prospective directions of state support of the national innovation system of Russia
Institute of Public Administration and Civil Service RANEPA, Moscow, Russia
* Corresponding author: d.serpuhovitin@gmail.com
The article presents an original methodology for selecting the most popular measures of state support of the national innovation system of a country with usage of numerical methods of clustering. The clustering methodology is based on a combination of indexes: Global Innovation Index, Gross Natural Income and Human Development Index. In the lists of countries and their corresponding clusters obtained as a result of empirical analysis, the most demanded measures of state support of the national innovation system were identified on the base of retrospective dynamics of Global Innovation Index indicators characterizing the state support of the national innovation system. For the obtained indicators of the Global Innovation Index, recommendations were given for the direction of development of the national innovation system of Russia. Classical clustering methods were used as analysis instruments: Density-based spatial clustering of applications with noise and K-Means, The Silhouette Coefficient implemented in the sklearn library of Python programming language was used as a quality metric.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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