V. Yu. Pashkus, V. Terekhov, M. Yu. Shcheglov, A. V. Koshkin. Regional Patent Policy Analysis in Russia

doi: 10.15507/2413-1407.127.032.202402.242-262

UDК 32(088.8)(470+571)

Abstract

Introduction. The article studies patent activity in the regions of Russia. The relevance of the research in this area is determined by the importance of the innovation component in economic growth, as well as by the established targets in the Concept of Technological Development of the Russian Federation for the period up to 2030. The aim of the study is to identify possible types and directions of patent policy for different groups of Russian regions on the basis of patent activity factors.

Materials and Methods. The empirical material for the analysis includes data from the World Intellectual Property Organization (WIPO) and the Federal State Statistics Service (FSSS) for 2012‒2021. We use linear regression to identify the key factors affecting the patent activity of the regions. The method of hierarchical clustering allowed us to identify groups of regions according to their patent activity.

Results. The linear regression showed the statistically significant dependence of regional patent activity on I-activity level of organizations, the number of active fixed broadband Internet subscribers per 100 population and the average of internal costs for research and development per 1 organization in the region. The hierarchical clustering distinguished 5 clusters of regions: “The Leader”, “Innovation centers”, “Regions of high manufacturability”, “Old R&D regions” and “Regions-outsiders”. The authors also formulate definitions of the regional patent policy and the national patent policy and present typologies of state patent policy.

Discussions and Conclusions. Based on empirical and theoretical analysis, recommendations on further directions for the development of active patent policies were given to groups of regions. The results of the study can be applied in the development and implementation of scientific and technological regional development strategies, and will also be useful to specialists and government officials involved in regulating patent activity in the regions.

Keywords: regional economy, innovation economy, patent activity, innovation activity, state patent policy, regional patent policy

Conflict of interests. The authors declare no conflict of interest.

For citation: Pashkus V.Yu., Terekhov V., Shcheglov M.Yu., Koshkin A.V. Regional Patent Policy Analysis in Russia. Russian Journal of Regional Studies. 2024;32(2):242–262. https://doi.org/10.15507/2413-1407.127.032.202402.242-262

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About the authors:

Vadim Yu. Pashkus, Dr.Sci. (Econ.), Professor, Chair of Economic Theory and Economic Policy, Saint-Petersburg State University (7-9 Universitetskaya Embankment, St. Petersburg 199034, Russian Federation), ORCID: https://orcid.org/0000-0002-9512-3585, Researcher ID: N-1291-2015, Scopus ID: 56610350300, v.pashkus@spbu.ru

Vitaly Terekhov, Ph.D. (Econ.), Professor of Marianopolis College (4873 Westmount Ave., Westmount Quebec H3Y 1X9, Canada), ORCID: https://orcid.org/0009-0004-5015-3555, vitaly1756@gmail.com

Maksim Yu. Shcheglov, Master Student, Faculty of Economics, Saint-Petersburg State University (7-9 Universitetskaya Embankment, St. Petersburg 199034, Russian Federation), ORCID: https://orcid.org/0000-0003-1388-520X, max7774447@gmail.com

Andrei V. Koshkin, 1st Category Economist of the Monetary Policy Communication Sector of the Economic Directorate of the North-Western Main Directorate of The Central Bank of the Russian Federation (12 Neglinnaya St., Moscow 107016, Russian Federation), Postgraduate Student, Faculty of Economics, Saint-Petersburg State University (7-9 Universitetskaya Embankment, St. Petersburg 199034, Russian Federation), ORCID: https://orcid.org/0000-0001-9942-7722, Researcher ID: AEE-3953-2022, Scopus ID: 57822247100, a.koshkin@spbu.ru

Contribution of the authors:

V. Yu. Pashkus – conceptualization; provision of resources; project administrator; scientific guidance.

V. Terekhov – conceptualization; research methodology; data collection.

M. Yu. Shcheglov – conceptualization; research methodology; data curation; formal data analysis; manuscript drafting; data visualization.

A. V. Koshkin – conceptualization; research methodology; data collection.

Availability of data and materials. The datasets used and/or analysed during the current study are available from the authors on reasonable request.

All authors have read and approved the final manuscript.

Submitted 27.10.2023; revised 07.12.2023; accepted 19.12.2023.

Appendices