Poster Paper:
The Impact of Trade on Intra provincial Income Inequality in China: A Panel Study
*Names in bold indicate Presenter
To test these two hypotheses, I will use the fixed-effect panel regression model covering all the 31 provinces from 1993 to 2014 based on data availability. The income quantile will be used as the dependent variable to evaluate the change of income distribution across the three income groups. The two main theoretical variables are trade (exports + imports) in goods divided by GDP and trade in services divided by GDP. In order to capture the “channel effect” of human capital, two interaction terms (trade in goods * education and trade in service * education) are constructed. In addition, since FDI is another key component of globalization which also affects income distribution in China, I include the inward FDI adjusted by GDP as a control variable. The Gini coefficient index is used for robustness check. Due to the concern of potential heteroskedasticity, the feasible generalized least square (FGLS) method with cross-province weights will be applied to obtain unbiased and consistent results. If the empirical results support the two hypotheses, it will confirm the “channeling effect” of human capital on enlarging the income gap among the three income groups. Furthermore, it will also prove that trade in service has a larger disequalizing effect than trade in goods due to some of its features that manufacturing goods cannot perform.
As China’s embrace of globalization has become an irreversible trend, the disequalizing effect of trade on income distribution calls for the government to make more investment on education and technical training in order for low-skilled workers to catch up with the rapid development of the internet-based technology. In addition, due to the lag effect of investment on education, the government should increase the compensation package for the disadvantaged groups in the market competition, providing a “cushion” for economic and social stability.