Year: 2025
Type: article
Abstract: This study aimed to investigate the relationship between financial development (measured in terms of the evolution of financial institutions) and GDP per capita in Brazil (a representative measure of the average income of the Brazilian population). The most suitable method for data operationalization was the Autoregressive Distributed Lag (ARDL) model. A long-term relationship between the model's variables was identified through the confirmation of cointegration. Specifically, in the long term, all variables demonstrated statistical significance. Access to financial institutions returned a negative value; however, the variables of financial depth and efficiency of financial institutions were positively related. In the short term, only the financial depth variable showed statistical significance, but with a sign opposite to that found in the long term. In summary, the findings underscore the importance of financial development in promoting the average income of the Brazilian population.
Source: Sociedad y Economía
Language: English
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409222528