英文摘要
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This research conducts an empirical analysis of unbalanced tracking data of 115 countries from 1995 to 2012, mainly aimed at exploring the relationship between inequality in income distribution and tax burden. It also refers to factors that cause inequality in income distribution mentioned in previous literature, so we can explore the effects of tax burden, economic development, the level of openness, female labor force participation rate, unemployment rate, population density, population growth rate, government subsidy and urbanization level on inequality in income distribution respectively. Besides using ordinary least squares, it also uses quantile regression to learn about the effects of tax burden and other factors on income distribution.
The empirical results of the ordinary least squares show tax burden, the level of openness, population density and government subsidy have significant negative effects on inequality in income distribution, while economic development, female labor force participation rate, unemployment rate, population growth rate and urbanization level have significant positive effects on inequality in income distribution. The results of quantile regression show government subsidy has significant negative effects on inequality in income distribution no matter what its component is; unemployment rate, population growth rate and urbanization level have significant positive effects on inequality in income distribution no matter what their income distribution are; the tax burden has significant negative effects in countries where its income distribution is low (0.1~0.5) and doesn’t have explanatory power for countries where its income distribution is higher (0.6~0.9). In other words, improving the tax burden of residents in countries where the inequality in income distribution is low can reduce the inequality in income distribution; economic development and female labor force participation rate have significant positive effects in countries where their income distribution are lower (0.1~0.4) and medium-low (0.1~0.6) respectively; to the contrary, population density has significant negative effects in countries where its income distribution is high (0.7~0.9); the level of openness has significant negative effects except having no explanatory power for countries where its income distribution is extremely high (0.9).
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