The article examines the influence of migration processes on the formation and development of production capacities of countries. It is emphasized that population migration significantly affects the social and economic indicators of the country; under such influence, they can have both positive and negative trends. The article presents the main positive and negative consequences of population migration for donor countries, recipient countries, and for migrants themselves. It is proved that one of the most popular and promising is educational migration, which, under certain favorable circumstances, makes it possible to form highly qualified personnel, deepen international cooperation between higher education institutions of different countries, and strengthen the joint use of educational and scientific potential. The attention is focused on the fact that Ukraine today acts as a donor country and a leader in the number of young people who travel to study in Poland. It is indicated that in order to effectively regulate migration processes by the state, it is appropriate to ensure interaction between higher education institutions of different countries, namely, in the sphere of: a double-degree program, foreign internships, and holding joint international conferences. Using the example of Ivano-Frankivsk National Technical University of Oil and Gas and Ternopil National Economic University, it is shown how such interaction is implemented in practice and its consequences. The conclusions are based on the fact that educational migration is one of the most favorable types of migration. With its proper control by the state, it is possible to stimulate the development of the production industry in countries and improve social and economic indicators.
Computer studies of population evolution are presented. Numerical calculations are based on the Penna model. This model accounts for mutation load of individuals resulting in non-trivial age (a) dependence of the mortality rate q(a) which may be compared with empirical data. The Penna model is also very flexible for suitable modifications of the population evolution process such as hunting, genetic death, migration etc. Here we present some examples of the population growth for different evolution rules. Calculations require about 100 MB memory for 10/sup 6/ population which is necessary to get reliable statistics. The typical running time for 3000 iteration steps is several hours for a HP S2000 machine.
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