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REGIONAL PATENT POLICY ANALYSIS IN RUSSIA. / Пашкус, Вадим Юрьевич; Terehov, Vitaliy; Кошкин, Андрей Вячеславович; Щеглов, Максим Юрьевич.

In: RUSSIAN JOURNAL OF REGIONAL STUDIES, Vol. 32, No. 2, 2024, p. 242-262.

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Пашкус ВЮ, Terehov V, Кошкин АВ, Щеглов МЮ. REGIONAL PATENT POLICY ANALYSIS IN RUSSIA. RUSSIAN JOURNAL OF REGIONAL STUDIES. 2024;32(2):242-262.

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@article{9f9ea8e094e9469ea19ed40d6c990eb2,
title = "REGIONAL PATENT POLICY ANALYSIS IN RUSSIA",
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",
author = "Пашкус, {Вадим Юрьевич} and Vitaliy Terehov and Кошкин, {Андрей Вячеславович} and Щеглов, {Максим Юрьевич}",
note = "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",
year = "2024",
language = "English",
volume = "32",
pages = "242--262",
journal = "RUSSIAN JOURNAL OF REGIONAL STUDIES",
issn = "2413-1407",
publisher = "Мордовский Госуниверситет им . Н.П.Огарева.",
number = "2",

}

RIS

TY - JOUR

T1 - REGIONAL PATENT POLICY ANALYSIS IN RUSSIA

AU - Пашкус, Вадим Юрьевич

AU - Terehov, Vitaliy

AU - Кошкин, Андрей Вячеславович

AU - Щеглов, Максим Юрьевич

N1 - 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

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

KW - regional economy

KW - innovation economy

KW - patent activity

KW - innovation activity

KW - state patent policy

KW - regional patent policy

M3 - Article

VL - 32

SP - 242

EP - 262

JO - RUSSIAN JOURNAL OF REGIONAL STUDIES

JF - RUSSIAN JOURNAL OF REGIONAL STUDIES

SN - 2413-1407

IS - 2

ER -

ID: 127733139