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Matrix approach to assessing competitiveness of regions: From methodology to practice

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dc.contributor.author Safiullin M.
dc.contributor.author Safiullin A.
dc.contributor.author Elshin L.
dc.contributor.author Prygunova M.
dc.date.accessioned 2018-09-18T20:28:13Z
dc.date.available 2018-09-18T20:28:13Z
dc.date.issued 2014
dc.identifier.issn 1911-2017
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/140222
dc.description.abstract © Canadian Center of Science and Education. The article considers methodological aspects of grouping regions of a federal district by the degree of their competitiveness in the sectoral markets with account of determination of the probability of transition of a certain economic activity from one group of competitiveness to another. At that, an effort is for the first time taken to substantiate the matrix approach to determination of the competitiveness of sectoral markets, which allows taking into account all possible combinations of the market competitive profile of a region, which combines all possible combinations of localization and concentration of manufacture. The authors carry out experimental computations regarding assessment of competitiveness of the industrial profile of the Republic of Tatarstan in the Volga Federal District, and based on that develop probabilistic forecasts of transition of certain economic activities of the Republic of Tatarstan from one competitiveness group to another.
dc.relation.ispartofseries Asian Social Science
dc.subject Competitiveness
dc.subject Concentration
dc.subject Differentiation
dc.subject Industrial profile
dc.subject Localization
dc.subject Regional development
dc.title Matrix approach to assessing competitiveness of regions: From methodology to practice
dc.type Article
dc.relation.ispartofseries-volume 10
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 47
dc.source.id SCOPUS19112017-2014-10-SID84907868442


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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