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Васильева, Зоя Андреевна
Русина, Анастасия Николаевна
Багдасарьян, Ирина Сергеевна
Филимоненко, Ирина Владимировна
2021-08-13T09:30:16Z
2021-08-13T09:30:16Z
2020
Васильева, Зоя Андреевна. Assessing the Impact of Intellectual Potential on the Innovative Development of Resource-Based Region [Текст] / Зоя Андреевна Васильева, Анастасия Николаевна Русина, Ирина Сергеевна Багдасарьян, Ирина Владимировна Филимоненко // Lecture Notes in Networks and Systems. — 2020. — Т. 129. — С. 740-754
https://libproxy.bik.sfu-kras.ru:2380/sourceid/21100901469?origin=recordpage
https://elib.sfu-kras.ru/handle/2311/142410
Forming a system of innovative development factors for the Russian regions is challenging due to peculiarities of the federal government, economic specialization and social structure of the population. Consequently, the Russian regions are characterized by a heterogeneous basis for the development of industries. This made it possible to classify Russian regions as resource-based and non-resource-based and put forward a hypothesis about the different influence of intellectual potential characteristics as a factor of innovative growth on the development of the above regions. Despite an extensive system of classification criteria for economic growth factors, the peculiar impact of factors in resource-based and non-resource-based regions have not been studied, and quantitative relationships between factors and outcomes of innovative development of the region have not been established. Determining the group of factors having an impact on the innovative development of the region’s economy being selected, and the subsequent comparison of outcomes in the resource-based and non-resource-based regions of the Russian Federation, the authors have explored the peculiar action of intellectual potential characteristics on the innovative activity of regional development. It has been suggested to classify regions as resource-based (extraction of mineral resources; agriculture) and non-resource-based through structural analysis of gross added value and volume of goods shipped by type of economic activity. The studies allowed determining the regions for each model group and degree of factors’ impact by their placing in the “intellectual potential index; innovative development index” with the subsequent assessment of averaged values and identification of differences in factors. Modeling of quantitative relationships between groups of factors and outcomes of the region’s innovative development makes it possible to prove the key factors of innovative development being selected and determine the degree of their influence in resource-based and non-resource-based regions, to justify the reasons for differences and outline possible ways of further growth
Classification of regions
Innovative development
Innovative growth factors
Intellectual potential
Resource-based regions
Assessing the Impact of Intellectual Potential on the Innovative Development of Resource-Based Region
Journal Article
Journal Article Preprint
740-754
2021-08-13T09:30:15Z
10.1007/978-3-030-47945-9_79
Институт управления бизнес-процессами и экономики
Кафедра экономики и управления бизнес-процессами
Кафедра маркетинга
Lecture Notes in Networks and Systems
Q4
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