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Evaluation of the branch competitiveness of the regions of the Central Federal District in 2005–2009 using the shift-share analysis

Bibliographic Data

ID21219504
AuthorsLeonid Limonov (0000-0003-0257-4801, National Research University Higher School of Economics, corresponding author), S Rastvortseva (0000-0002-1599-359X, Belgorod National Research University), S N Rastvortseva
Year2011
Volume1
Issue4
Pages297-318
Publication date2011-10-01
Open AccessYes
TypeARTICLE
VenueRegional Research of Russia (JOURNAL)
Journal identifiersISSN: 2079-9713 • E-ISSN: 2079-9705
PublisherPleiades Publishing Ltd (PUBLISHER)
DOI10.1134/s2079970511040083
OpenAlexW1997275527
LanguageEN
References cited3

The possibility of determining the branch competitiveness of regions using the shift-share analysis is considered. It allows for the revealing of the formation factors of competitiveness and evaluating their effects in terms of three directions: effect of changes in the national economy, regional development stimuli, and internal efficiency factor of a particular branch in the region. A comparative analysis is carried out, where the Central Federal District of Russia in 2005–2009 serves as an example. Graphical analysis on the basis of three parameters, namely, GRP, number of employed in the economy, and labor productivity, made it possible to decompose the branch shift of regional economies into the following components: DIF effect (contribution of a branch’s internal efficiency), MIX effect (effect of the structure of the regional economy), and the effect of national development factors. The detection of branches capable of being growth drivers for the region will make it possible for regional efficiency management entities to purposefully create favorable conditions and stimuli for the balanced development of the region

Business · Economic growth · Economic system · Economics · Economy · Productivity · Shift-share analysis · Global Trade and Competitiveness · Regional Economic and Spatial Analysis · Regional Economics and Spatial Analysis

Highly citedNo

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