DETERMINANTS OF GDP PER CAPITA IN BRICS AND ASEAN COUNTRIES: A QUANTILE REGRESSION APPROACH
DOI:
https://doi.org/10.30996/die.v17i01.133232Keywords:
GDP per capita, Quantile Regression, BRICS and ASEAN, Economic GrowthAbstract
This study investigates the determinants of GDP per capita in BRICS and ASEAN countries by accounting for heterogeneity across income levels. While previous research predominantly relies on mean-based estimation methods, such approaches may conceal variations in how growth factors operate across different stages of development. Using panel data from 21 countries over the period 2010–2023, this study applies quantile regression to examine how macroeconomic factors, labor productivity, and institutional quality influence GDP per capita at the 0.25, 0.50, and 0.75 quantiles.
The results reveal that household consumption significantly promotes GDP per capita only in middle- and upper-income countries, while foreign direct investment and government expenditure show no significant effects across quantiles. In contrast, labor productivity and political stability consistently exert strong positive influences at all income levels, indicating their fundamental role in sustaining economic growth. Government effectiveness becomes significant only in higher-income countries, suggesting that institutional capacity yields greater returns as economies mature.
These findings highlight that productivity enhancement and institutional stability, rather than capital inflows alone, are the primary drivers of income growth in emerging economies. The study underscores the importance of policies focused on human capital development, structural transformation, and governance improvement to achieve inclusive and sustainable economic growth.
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