Factors Influencing Migration Movements in Brazilian States from the Perspective of Financial Condition Theory and Tiebout's Hypothesis
migration; financial condition; Tiebout hypothesis; factors.
This study investigated whether migration movements between 2010 and 2022 in Brazilian states can be explained through the lens of the Financial Condition Theory and Tiebout Hypothesis. The research adopted a quantitative approach, covering the 26 states and the Federal District, using data from official sources such as IBGE, IPEA, INEP, Atlas Brasil, and State Audit Courts. The dependent variable was the Net Migration Rate, while the independent variables included financial, economic, social, and demographic factors, such as Operational Position Indicator, per capita expenditures, per capita GDP, Gini Index, Human Development Index, Literacy Rate, Birth Rate, and Urbanization Rate. The empirical-analytical model employed multiple linear panel regression to evaluate both the isolated and combined effects of these factors on NMR. Results indicated that financial, economic, social, and demographic dimensions positive/negative influence the net migration rate, highlighting the importance of state financial condition and quality of public services in population mobility. This research contributes to the literature by integrating multiple existing factors and migration behavior, providing insights for more effective public policy planning and state strategies, and addressing a gap regarding the study of migration under the Financial Condition Theory and Tiebout Hypothesis in the Brazilian context.