Abstract
Based on a survey among students in economics at universities from the Romanian region of Moldova (RoMold) and Republic of Moldova (ReMold), this study explores the influence of familial, background, and individual characteristics on the migration intentions abroad. Both regional models built after using data mining tools and binary logistic regression analysis show a powerful emphasis on our own value recognition, while the other influences indicate clear asymmetric patterns in terms of migration intentions. For RoMold, there is a low level of interpersonal trust, a strong accent on individual liberty and favoritism, a low respect for traditions, and the belief that Orthodoxy could be a migration cause. The paternal occupation and the maternal religiosity matter for their migration plans. For ReMold, the parental migration experience, a low level of parents’ education attainment, and a powerful internal locus of control are considered the main triggers for migrating abroad. For both particular regions, a highly interactive distribution map and two corresponding risk-prediction nomograms provide basic support for replication, fast visual insight, and consistent support for interpretations directly in probabilistic terms. We intend to apply an inductive approach in order to extend the analysis to different types of respondents and geographic areas.
Highlights
In today’s highly globalized human communities and knowledge-based economies, the dynamics of migration is a fact that encompasses complex facets and generates divergent spillovers for both sending and receiving countries
For reasons related to more persistency in time, we captured this entire functionality as a short demo [78]
Our previous research and the current results [79] including probabilities returned by SQL DMX queries obtained after applying different Data Mining (DM) algorithms in SQL Server Analysis Services (SSAS), on both the overall dataset and those two subsets, led us to the idea of a single and most powerful variable acting as the core of both regional models
Summary
In today’s highly globalized human communities and knowledge-based economies, the dynamics of migration is a fact that encompasses complex facets and generates divergent spillovers for both sending and receiving countries. The positive effects of such decisions on sending countries could be related with increased remittances, foreign direct investment or trade [2], inputs that may stimulate consumption, local investment, and educational attainment [3]. The migration phenomenon is interesting to study because, after the fall of communism and the integration in the European Union and NATO (in the case of Romania), the outflows of migrants abroad increased [4]. While the majority of Romanian and Moldavian migrants prefer mobility to Western European countries, the political and economic turmoil that recently affected them influenced and exerted a powerful influence on present and future decisions to migrate. The factors taken into consideration include the global crisis from 2008, the crisis of refugees from 2014, and Brexit or the withdrawal of the United Kingdom from the European Union [5]
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