Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/92235
Title: Dynamic Modeling of Labor Migration Between Scientific Organizations
Authors: Tarasyev, A. A.
Jabbar, J. B.
Issue Date: 2018
Publisher: Elsevier B.V.
Citation: Tarasyev A. A. Dynamic Modeling of Labor Migration Between Scientific Organizations / A. A. Tarasyev, J. B. Jabbar. — DOI 10.1016/j.ifacol.2018.11.468 // IFAC-PapersOnLine. — 2018. — Vol. 32. — Iss. 51. — P. 490-495.
Abstract: In this article we examine the processes of academic potential reproduction, taking into account the main threats from scientific migration. Historically, since the 1990-s the amount of researchers in Russian Federation decreased by 58%. Under these conditions it is necessary to estimate the scale of further scientific migration and the outflow of researchers to other spheres of economy. For this purpose we developed a synthetic construction of dynamic models of labor migration and proportional economic growth with two-level optimization. The basis of this model is presented by the classical problem of optimal investments into capital management, expanded by the control unit of total costs directed to the labor resources. This model construction allows us to describe the migration movement between scientific organizations and institutes, taking into account the difference in working conditions. The pricing mechanism in this model is based on the assumption of organization's output maximization at a fixed cost. As result we obtained a multi-level model for the prediction of scientific personnel migratory flows between organizations. © 2018
Keywords: ACADEMIC POTENTIAL
DYNAMIC MODELING
GAMES THEORY
LABOR MARKET
LABOR MIGRATION
POSITIONAL GAMES
PROPORTIONAL ECONOMIC GROWTH
COSTS
DYNAMIC MODELS
ACADEMIC POTENTIAL
ECONOMIC GROWTHS
GAMES THEORIES
LABOR MARKETS
POSITIONAL GAMES
ECONOMICS
URI: http://hdl.handle.net/10995/92235
Access: info:eu-repo/semantics/openAccess
RSCI ID: 38678996
SCOPUS ID: 85058212108
WOS ID: 000453278300092
PURE ID: 8413985
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2018.11.468
metadata.dc.description.sponsorship: The research was supported by Act «211 of the Government of the Russian Federation, agreement № 02.A03.21.0006».
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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