Abstract:
We consider the author's mathematical model of population dynamics of territories, taking into account the migration between the territories. The model is a system of ordinary differential equations with constant coefficients. The main idea of the presented modelling is to take into account the migration interactions of territories in the form of nonlinear terms (they are the pair products of phase variables of the territories population). On the one hand, the approach allows to consider the model as a variant of expanding the gravitational approach in migration studies. On the other hand, this approach allows to apply the approaches of mathematical biology, which are successfully used in econophysics and sociodynamics. In order to verify the model, we use statistical data on population and migration between federal districts of the Russian Federation. The results of the modelling show the significance of the "repulsion" of migrants arriving in the Central and North-Western federal districts, mainly in the nearby regions (Southern, North Caucasian and Volga federal districts). Model evaluations of the migration balance are obtained. The evaluations exceed statistical ones by dozens of times and, to all appearances, describe the "latent" migration of the population, covering both long-term and short-term movements. An analysis of the change in the stationary values of the population for a linear change in the parameters is carried out. It is shown that there are such values of the parameters of migration attractiveness of the Russian Federation federal districts, under which the population increases both in the whole in the Russian Federation and in individual districts. It is established that such changes can occur due to significant differences in the opportunities, which are "provided" by different federal districts for migrants (e.g., living and working conditions, upbringing and education of children, etc.), and intra-Russian migration.
Keywords:
gravitational approach; migration; population; federal districts of the Russian Federation; ordinary differential equations.
The publication was
prepared within the grant of the President of the Russian
Federation for the state support of young Russian scientists —
candidates of sciences No. МК-6255.2016.6.
\Bibitem{KhaKul17}
\by M.~Yu.~Khavinson, M.~P.~Kulakov
\paper Gravitational model of population dynamics
\jour Vestnik YuUrGU. Ser. Mat. Model. Progr.
\yr 2017
\vol 10
\issue 3
\pages 80--93
\mathnet{http://mi.mathnet.ru/vyuru388}
\crossref{https://doi.org/10.14529/mmp170307}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000418233500007}
\elib{https://elibrary.ru/item.asp?id=29930359}
Linking options:
https://www.mathnet.ru/eng/vyuru388
https://www.mathnet.ru/eng/vyuru/v10/i3/p80
This publication is cited in the following 4 articles:
Evgeniy Pitukhin, Petr Pitukhin, Maxim Kukolev, Lecture Notes in Networks and Systems, 575, XV International Scientific Conference “INTERAGROMASH 2022”, 2023, 2707
M. Yu. Khavinson, A. S. Losev, M. P. Kulakov, “Modelirovanie chislennosti zanyatogo, bezrabotnogo i ekonomicheski neaktivnogo naseleniya Dalnego Vostoka Rossii”, Kompyuternye issledovaniya i modelirovanie, 13:1 (2021), 251–264
Irina Zaitseva, Oleg Malafeyev, Olga Pankratova, Lydia Novozhilova, Viktor Smelik, INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2019, 2293, INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2019, 2020, 420021
Irina Zaitseva, CENTRAL EUROPEAN SYMPOSIUM ON THERMOPHYSICS 2019 (CEST), 2133, CENTRAL EUROPEAN SYMPOSIUM ON THERMOPHYSICS 2019 (CEST), 2019, 450057