Assessment of the Link Between Urban Quality of Life and Migration Flows: The Case of Lithuania

One of the main reasons for migration is the search for a better quality of life. The concept of quality of life is very broad, encompassing economic, social, political, and cultural factors. According to the World Migration Report 2022, 3.6 percent of the world’s population are migrants. This number is growing due to geopolitical reasons. Increasing migration flows affect the growth of the part of the population living in urban areas, that is, urbanisation. The scale of migration is growing along with the search for a better life. In Lithuania, according to the Department of Statistics, as well as throughout the world, the number of people living in cities is constantly growing; for comparison, a 3% growth has been observed over 4 years, in the European Union, according to the World Bank, 1%, and in the world—1%. The term urbanisation also describes social changes that are determined by the concentration of the population. To ensure quality of life, cities face challenges such as ensuring security, integration of migrants into society and the labour market, the functioning of the health and education system, and sustainable development of cities. Despite growing interest, the impact of migrant flows on the quality of life in cities has not been sufficiently studied in the world scientific literature. Most research is focused on the causes of migration, migrant integration, demographic changes, or labour market interactions. However, less attention is paid to how the dynamics of migrant flows affect the quality of life in cities. Comprehensive assessment is lacking. The goal is to assess the link between quality of life and the dynamics of migration flows in urbanised areas. The article, which conducted a systematic and comparative analysis of concepts published in the scientific literature, formed the concept of quality of life in urban areas, identified the factors that determine quality of life, and studied the link between the quality of life in the city and the dynamics of migration flows. This assessment will allow us to combine the factors that determine quality of life in terms of changes in migrant flows into a common system. To achieve this goal, statistical processing, correlation analysis, and CRITIC methods will be applied.