Fig 1.
Concentration curve of income factors.
Note: In the depicted figure, the x-axis indicates the population distribution across quantiles, while the y-axis shows the income distribution. The Lorenz curve for income is denoted by L(y, p), whereas L(w, p) and L(π, p) represent the concentration curves for labor and capital income, respectively. Moreover, Le(π, p) stands for the zero concentration curve of capital income, which reflects perfectly equal income composition (π = w = 1/2), whereas Lmax(π, p) represents the maximum concentration curve of capital income under maximally unequal income composition.
Table 1.
Descriptive statistics for main data yuan.
Table 2.
Income shares, Gini coefficient, and IFC for different income groups %.
Table 3.
Share of labor income of different income groups %.
Table 4.
Share of capital income for different income groups %.
Fig 2.
The share of the top 5% of income groups and the trend of the IFC index and Gini coefficient.
Table 5.
Income inequality disaggregated by source of income.
Table 6.
Results of measuring fiscal redistribution effects on income inequality.
Table 7.
Results of measuring fiscal redistribution effects on income composition inequality.