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Matematicheskoe modelirovanie, 2008, Volume 20, Number 2, Pages 3–12 (Mi mm2144)  

This article is cited in 3 scientific papers (total in 3 papers)

On transition to balanced growth in a model of closed decentralized economy

A. P. Abramov

Dorodnitsyn Computing Centre of the Russian Academy of Sciences
Full-text PDF (175 kB) Citations (3)
References:
Abstract: The aim of this paper is to investigate the mechanism of decision making such that a multisector decentralized economy can transit to balanced growth. The first variant of such mechanism based on the physical indicator of sales. The second one based on the maximization of expected profit. In the latter case the price depends on the volume of output. As it shown both variants solve the given task.
Received: 14.06.2005
English version:
Mathematical Models and Computer Simulations, 2009, Volume 1, Issue 1, Pages 105–112
DOI: https://doi.org/10.1134/S2070048209010116
Bibliographic databases:
Language: Russian
Citation: A. p. Abramov, “On transition to balanced growth in a model of closed decentralized economy”, Matem. Mod., 20:2 (2008), 3–12; Math. Models Comput. Simul., 1:1 (2009), 105–112
Citation in format AMSBIB
\Bibitem{Abr08}
\by A.~p.~Abramov
\paper On transition to balanced growth in a model of closed decentralized economy
\jour Matem. Mod.
\yr 2008
\vol 20
\issue 2
\pages 3--12
\mathnet{http://mi.mathnet.ru/mm2144}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=2421821}
\zmath{https://zbmath.org/?q=an:1150.91466}
\transl
\jour Math. Models Comput. Simul.
\yr 2009
\vol 1
\issue 1
\pages 105--112
\crossref{https://doi.org/10.1134/S2070048209010116}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-84929071820}
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  • https://www.mathnet.ru/eng/mm2144
  • https://www.mathnet.ru/eng/mm/v20/i2/p3
  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Математическое моделирование
    Statistics & downloads:
    Abstract page:563
    Full-text PDF :167
    References:56
    First page:15
     
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