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Научный результат. Серия «Экономические исследования»
Article . 2015
Data sources: CyberLeninka - Russian open access scientific library
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Методический подход к определению перспективных отраслей региона в условиях турбулентности экономики

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2015 Russian Publisher:Федеральное государственное автономное образовательное учреждение высшего образования «Белгородский государственный национальный исследовательский университет»Journal:Научный результат. Серия «Экономические исследования» (eissn: 2409-1634, Copyright policy )

Методический подход к определению перспективных отраслей региона в условиях турбулентности экономики

Abstract

The article is devoted to the problems of determination of perspective branches, which are capable to enhance the innovative potential of the region. The choice of the regional development perspective trends, based on its potential capabilities and resources, as well as particular significance of the regional innovative development are substantiated in this article; the perspectives of its development in this course are estimated.

Статья посвящена вопросам определения перспективных отраслей, способных по- высить инновационный потенциал региона. Обосновывается выбор перспектив- ных направлений развития региона на основе использования его потенциальных воз- можностей и ресурсов; обосновывается особое значение инновационного развития региона; оцениваются перспективы его развития в данном направлении.

Keywords

инновационное производство, инновационная политика реги- она, инновационная привлекательность региона, региональная экономика, методы определения, инновационный потенциал, основные направления развития

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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