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Computer Research and Modeling, 2021, Volume 13, Issue 1, Pages 251–264
DOI: https://doi.org/10.20537/2076-7633-2021-13-1-251-264
(Mi crm881)
 

This article is cited in 1 scientific paper (total in 1 paper)

MODELS OF ECONOMIC AND SOCIAL SYSTEMS

Modeling the number of employed, unemployed and economically inactive population in the Russian Far East

M. Yu. Khavinsona, A. S. Losevb, M. P. Kulakova

a Institute for Complex Analysis of Regional Problems, Far Eastern Branch of RAS, 4 Sholom-Aleikhem st., Birobidzhan, 679016, Russia
b Institute for Applied Mathematics, Far Eastern Branch of RAS, 7 Radio st., Vladivostok, 690041, Russia
References:
Abstract: Studies of the crisis socio-demographic situation in the Russian Far East require not only the use of traditional statistical methods, but also a conceptual analysis of possible development scenarios based on the synergy principles. The article is devoted to the analysis and modeling of the number of employed, unemployed and economically inactive population using nonlinear autonomous differential equations. We studied a basic mathematical model that takes into account the principle of pair interactions, which is a special case of the model for the struggle between conditional information of D. S. Chernavsky. The point estimates for the parameters are found using least squares method adapted for this model. The average approximation error was no more than 5.17 %. The calculated parameter values correspond to the unstable focus and the oscillations with increasing amplitude of population number in the asymptotic case, which indicates a gradual increase in disparities between the employed, unemployed and economically inactive population and a collapse of their dynamics. We found that in the parametric space, not far from the inertial scenario, there are domains of blow-up and chaotic regimes complicating the ability to effectively manage. The numerical study showed that a change in only one model parameter (e.g. migration) without complex structural socio-economic changes can only delay the collapse of the dynamics in the long term or leads to the emergence of unpredictable chaotic regimes. We found an additional set of the model parameters corresponding to sustainable dynamics (stable focus) which approximates well the timeseries of the considered population groups. In the mathematical model, the bifurcation parameters are the outflow rate of the able-bodied population, the fertility (“rejuvenation of the population”), as well as the migration inflow rate of the unemployed. We found that the transition to stable regimes is possible with the simultaneous impact on several parameters which requires a comprehensive set of measures to consolidate the population in the Russian Far East and increase the level of income in terms of compensation for infrastructure sparseness. Further economic and sociological research is required to develop specific state policy measures.
Keywords: employed, unemployed, economically inactive population, Russian Far East, nonlinear dynamics, ordinary differential equations.
Funding agency Grant number
Ministry of Science and Higher Education of the Russian Federation
This work was performed in the framework of the State targets of the Institute of Complex Analysis of Regional Problem FEB RAS.
Received: 16.11.2020
Revised: 12.01.2021
Accepted: 02.02.2021
Document Type: Article
UDC: 331.5, 517.9
Language: Russian
Citation: M. Yu. Khavinson, A. S. Losev, M. P. Kulakov, “Modeling the number of employed, unemployed and economically inactive population in the Russian Far East”, Computer Research and Modeling, 13:1 (2021), 251–264
Citation in format AMSBIB
\Bibitem{KhaLosKul21}
\by M.~Yu.~Khavinson, A.~S.~Losev, M.~P.~Kulakov
\paper Modeling the number of employed, unemployed and economically inactive population in the Russian Far East
\jour Computer Research and Modeling
\yr 2021
\vol 13
\issue 1
\pages 251--264
\mathnet{http://mi.mathnet.ru/crm881}
\crossref{https://doi.org/10.20537/2076-7633-2021-13-1-251-264}
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  • https://www.mathnet.ru/eng/crm/v13/i1/p251
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Computer Research and Modeling
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