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Статистика и экономика
Article . 2016 . Peer-reviewed
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Статистика и экономика
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Статистика и экономика
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SIMULATION OF SOCIO-ECONOMIC DEVELOPMENT OF REGIONS

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2016Publisher:Plekhanov Russian University of Economics (PRUE)Journal:Statistics and Economics (issn: 2500-3925, Copyright policy )
Authors: Elena N. Volkova; Mikhail V. Karmanov;

doi: 10.21686/2500-3925-2016-3-55-59

SIMULATION OF SOCIO-ECONOMIC DEVELOPMENT OF REGIONS

Abstract

Simulation of different socio-economic phenomena and processes reveals the basic relationship between the various indicators. The article presents the results of regression analysis, which is possible to determine the inuence of some socio-economic factors on the level of development of the Moscow region. The results obtained allowed to form a series of conclusions and a proposal aimed at improving the level of economic development of the region.

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Keywords

Economics as a science, региональная экономика, regional economics, регрессионный анализ, modeling, социально-экономическая ситуация, моделирование, HB71-74, regression analysis, socio-economic situation

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
3
Average
Top 10%
Average
gold
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