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The main goal of our paper was to apply our research methodology on the specific case of the Ukrainian migration and remittances in the Czech Republic. In contrast to previous studies, we provide a more detailed insight into the specifications of remittance behaviour and test assumptions in the Ukraine-Czech Republic country models. A range of testing is defined by the hypotheses capturing determinants of probability to send money transfers, their volume, spending behaviour and probability of having skilled position. Our results demonstrate that reverse economic effects of remittances on the source country might be simply combination of regular and occasional form with different weight. Therefore, we conclude that the development of migration policy should not neglect microeconomic effects that have potential to solve aggregate level problems.

The article focuses on assessing the effectiveness of a non-statistical approach to bankruptcy modelling in enterprises operating in the logistics sector. In order to describe the issue more comprehensively, the aforementioned prediction of the possible negative results of business operations was carried out for companies functioning in the Polish region of Podkarpacie, and in Slovakia. The bankruptcy predictors selected for the assessment of companies operating in the logistics sector included 28 financial indicators characterizing these enterprises in terms of their financial standing and management effectiveness. The purpose of the study was to identify factors (models) describing the bankruptcy risk in enterprises in the context of their forecasting effectiveness in a one-year and two-year time horizon. In order to assess their practical applicability the models were carefully analysed and validated. The usefulness of the models was assessed in terms of their classification properties, and the capacity to accurately identify enterprises at risk of bankruptcy and healthy companies as well as proper calibration of the models to the data from training sample sets.