The research aims at studying and predicting the migration process in Romania over the last 20 years and at identifying the impact of the COVID-19 pandemic. The study analyzes several models for estimating migration through linear regression, but also a VAR (Vector autoregression) analysis, as the variables can influence each other. Vector autoregression (VAR) is also used to model multivariate time series, and it can analyze the dynamics of a migration process. Therefore, the best model for forecasting the migration process in Romania is Model 1 of linear regression. This phenomenon generates many positive and negative economic, demographic and political effects. The migration process has become particularly important for Romania in the last 20 years, and its socio-economic, political and cultural effects affect the Romanian state. That is why flexible policies are needed in order to be coherent, to have as main purpose keeping specialists in the country in certain basic economic fields, as well to implement measures to determine the return of specialists and students who have left to study abroad.

This study aimed to explore the perceptions of tourists regarding traveling for recreational or leisure purposes in times of health crisis. All areas of activity have been affected by the pandemic caused by the SARS-CoV-2 coronavirus (associated with a disease called COVID-19), and all countries are experiencing health crises. The tourism industry, together with its associated fields, experienced a decline during this period that is still difficult to assess. This study examined intentions to travel in the current conditions imposed by the health crisis. Various measures have been recommended or imposed by governments to control the spread of COVID-19. Travel has been significantly influenced by such measures. However, people have various travel needs, from shopping to work and leisure to exploration. The data were collected through an online questionnaire survey addressed to the active population in Romania. The application of this questionnaire coincided with the third wave of SARS-CoV-2 infections in Romania. The conditions related to the degree of incidence of infections in the respondents’ areas and also the connection between the expression of the intention to travel and the protection conditions in the destination areas were analyzed. The entire study was based on office research, statistical analysis, case study methods, and analysis of empirical data obtained through the survey of the active population in Romania. The results explain the travel tendencies of Romanians in the following period. Fear of infection and perceived risk have significantly influenced travel behaviors, but intentions to travel for recreational or leisure purposes have been maintained. The results of this study could be useful in planning and rethinking the activities of the tourism industry in the coming period.