Modelling factors connected with the effect of international migration for security and economy

Abstract

This article concerns research conducted on the casual connections between modern global migratory processes and basic socioeconomic and safety indexes for countries around the world countries. On the basis of new official dataset there was developed a cluster model of countries distributed according to the basic indicators which characterize migratory streams (emigration/ immigration), safety and macroeconomic indexes, related to the international migration. It is established that, in general, people are moving to safer countries that can provide them with better opportunities and social guarantees. The factor models for emigration and immigration processes, and international migration in general have been constructed. The main factors that prompt people to change their place of residence and the economic and safe effects of unprecedented levels of international migration are revealed. The empirical research examined in this paper confirmed the causal link between the volumes of international migration flows and the growth of Foreign Direct Investment in home countries and the reduction of security in host countries. The lack of statistical connection between immigration and emigration flows has been established.

Discriminant Analysis of Nation Brands 2022 in Terms of Military Invasion of Russian Federation in Ukraine

“…Same author used multivariate analysis of non-metric data in evaluating the generational perception of social characteristics (Stanimir, 2020b). K. Berezka and O. Kovalchuk (2019) used factor analysis and principal components analysis to study the causal links of modern global migration processes with basic socio-economic and security indicators for the world. P. Boedeker and N. T. Kearns (2019) investigated predictive classification and found that in some cases linear discriminant analysis works better than other prediction methods.…”

Model Wspomagania Decyzji W Oparciu O Analizę Ryzyka I Zagrożeń Bezpieczeństwa Międzynarodowego

“…Stanimir A. methods of a multivariate analysis of non-metric data in evaluating the generational perception of social characteristics [9]. Berezka K., Kovalchuk O. used factor analysis and principal components analysis to study the causal links of modern global migration processes with basic socio-economic and security indicators for the world [4]. Boedeker P., Kearns N. T. investigated the predictive classification and found that in some cases linear discriminant analysis works better than other prediction methods [10].…”