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Identification and assessment of regional clusters

Электронный научный архив УРФУ

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Поле Значение
 
Заглавие Identification and assessment of regional clusters
 
Автор Rastvortseva, S. N.
Cherepovskaya, N. A.
 
Тематика REGIONAL CLUSTERS
TERRITORIAL CLUSTERS
THE METHOD OF IDENTIFICATION AND ASSESSMENT OF POTENTIAL CLUSTERS
 
Описание The emergence and development of regional clusters in Russia is considered as an effective tool for improving the economy competitiveness. Considering that the growth of the clusters is a long-term and resource-intensive process, the formation of identification and assessment methods for clearly definition the regional clustering availability is particular important. The methods must be optimal for the Russian practices. The purpose of the paper is to analyze the methodological approaches of identification and assessment of potential regional clusters. In particular, the article analyzes the existing qualitative assessment and empirical approaches to the clusters identification, focusing on M. Porter methodology (with modification of the Institute for Competitiveness and Prosperity) and the European Cluster Observatory. The paper also discusses the methodological approaches to the identification and assessment of potential clusters used in Russian practice.
 
Дата 2024-04-17T11:45:59Z
2024-04-17T11:45:59Z
2013
 
Тип Article
Journal article (info:eu-repo/semantics/article)
Published version (info:eu-repo/semantics/publishedVersion)
 
Идентификатор Rastvortseva S. N. Identification and assessment of regional clusters / S. N. Rastvortseva, N. A. Cherepovskaya // Economy of Region. — 2013. — Iss. 4. — P. 123-133.
2411-1406
2072-6414
http://elar.urfu.ru/handle/10995/131888
10.17059/2013-4-12
84979797914
 
Язык ru
 
Связанные ресурсы Экономика региона. 2013. Выпуск 4
 
Права Open access (info:eu-repo/semantics/openAccess)
 
Формат application/pdf
 
Издатель Institute of Economics, Ural Branch of the Russian Academy of Sciences
Институт экономики Уральского отделения РАН
 
Источник Econ. Reg.
Economy of Region