Purpose. The purpose of the article is to develop the theoretical and methodological foundations for the study of return migration policy based on its information support, including regression analysis and authors’ sociological research on return intentions of Ukrainian migrants. Methodology / approach. The mathematical tools were used for the assessment of Ukraine’s economical losses, related to migration. With the help of the sociological method (survey) migrants’ intentions and main motives to return were investigated. Stepwise regression model was built for identification of main factors of Ukrainian population’s international migration. Besides, general scientific methods were used in the study, such as: analysis, generalization, systematization, tabular and graphical. Results. Analysis showed the lack of statistical and sociological information on international migration (particularly return migration) of Ukrainian population. It substantiates the need for improving the system of information provision of migration policy. The results of the survey of the migrants from the Carpathian region of Ukraine (conducted in 2020) show low level of their readiness to return. According to the answers to the questionnaire, there are two main circumstances that could motivate migrants to return: high level of wages and general improving of economic situation in Ukraine. Due to the regression model it was found that the emigration of the population is influenced by the following factors: average monthly wages, gross regional product per capita, foreign direct investment per economically active person and the share of the population with incomes below the subsistence level. The article provides main benefits and ways of implementation of the return migration policy. Particularly, circular migration is considered as a good way to slow down losses of human resources. It is beneficial for all institutional units of the migration process. Originality / scientific novelty. The methodology for the consequences of international migration study is improved. In particular, the formula for determination of migration losses through the calculation of economic activity losses is proposed and calculated for the first time. The theoretical foundation of return migration policy is developed. In particular, the model of return migration process on the individual level is elaborated. The sociological tool for the return migration investigation is developed and tested. Practical value / implications. The practical recommendations for the human resources conservation are worked out. The questions for the survey, developed by the authors, could be used in further investigations in this issue. The model of return migration process is useful for developing a comprehensive return migration policy, which could support migrants at all stages of this process: decisions making, movement and reintegration.

Purpose. The purpose of the article is to develop the theoretical and methodological foundations for the study of return migration policy based on its information support, including regression analysis and authors’ sociological research on return intentions of Ukrainian migrants. Methodology / approach. The mathematical tools were used for the assessment of Ukraine’s economical losses, related to migration. With the help of the sociological method (survey) migrants’ intentions and main motives to return were investigated. Stepwise regression model was built for identification of main factors of Ukrainian population’s international migration. Besides, general scientific methods were used in the study, such as: analysis, generalization, systematization, tabular and graphical. Results. Analysis showed the lack of statistical and sociological information on international migration (particularly return migration) of Ukrainian population. It substantiates the need for improving the system of information provision of migration policy. The results of the survey of the migrants from the Carpathian region of Ukraine (conducted in 2020) show low level of their readiness to return. According to the answers to the questionnaire, there are two main circumstances that could motivate migrants to return: high level of wages and general improving of economic situation in Ukraine. Due to the regression model it was found that the emigration of the population is influenced by the following factors: average monthly wages, gross regional product per capita, foreign direct investment per economically active person and the share of the population with incomes below the subsistence level. The article provides main benefits and ways of implementation of the return migration policy. Particularly, circular migration is considered as a good way to slow down losses of human resources. It is beneficial for all institutional units of the migration process. Originality / scientific novelty. The methodology for the consequences of international migration study is improved. In particular, the formula for determination of migration losses through the calculation of economic activity losses is proposed and calculated for the first time. The theoretical foundation of return migration policy is developed. In particular, the model of return migration process on the individual level is elaborated. The sociological tool for the return migration investigation is developed and tested. Practical value / implications. The practical recommendations for the human resources conservation are worked out. The questions for the survey, developed by the authors, could be used in further investigations in this issue. The model of return migration process is useful for developing a comprehensive return migration policy, which could support migrants at all stages of this process: decisions making, movement and reintegration.

The article studies the number of vulnerable segments of population. It is determined that the highest number of people with disabilities was marked in 2020 – 213.8 thousand people, whereas the smallest – in 2010, i.e. 176.7 thousand people. Increase of the number of people with disabilities consequently causes growth of the number of them per 1000 people of population. In the studied period, an annual growth of the index by 22.9% was marked. The author supplies expected indices of the growth of the number of retired people in Lviv region, forecast of the index of growth of the number of people with disabilities by using a linear model for four future periods; expected indices of increase of the average monthly retirement benefits. The research also examines a change of the number of healthcare establishments in Lviv region in 2013-2020. It is determined that in 2013-2020, hospital accommodation reduced by 24.1%, medical outpatient-polyclinic establishments – by 12.2%, and medical and obstetric centres – by 34.2%. The author of the work studied dynamics of the residential fund of Lviv region in 2013-2020 and determined that the fastest rate of growth of the volume of residential fund was marked in urban territory (by 20.6%). To reduce the negative impact of the factors on the most socially vulnerable categories of population, the state should maximize its efforts to provide conditions for a higher labour payment; to organize an effective system of social and economic defense of employees; to strengthen the targeted social support and primarily support of the vulnerable groups of population; to provide interest-free loans for vulnerable segments of population; to maximum provide housing for orphans after achieving the adulthood age; to educate social responsibility. The goal of the article is to prove the necessity of the social infrastructure development to reduce the social vulnerability of the Carpathian area population. In the process of the article writing, the author used a set of general scientific and specific methods of research. The graphical method was used to make visual presentation and to shape expected indices of growth of the number of retires people in Lviv region, increase of the number of people with disabilities by using a linear model and indices of growth of the average size of monthly retirement benefits. To make theoretical consolidation and conclusions, the abstract and logical method was used.