Biwei Su

This paper studies the determinants of income and urban–rural income gap to shed light on the problem of urban–rural income inequality in China. Ordinary least square (OLS), conditional quantile regression and Blinder–Oaxaca decomposition methods are used to analyze four waves of the China Health and Nutrition Survey (CHNS) household data. Results show that education and occupation are essential determinants of households' income level. These two factors exert heterogeneous effects at different percentiles of income distribution. In urban areas, education is more valued for high income earners, while for rural areas, specialized or tertiary education are more beneficial for the poorer households. Among all occupational types, farm activities show much lower returns than other types; and this is more evident for individuals at the left tail of the income distribution. We also find that for the sampled provinces, urban–rural income gap increases from year 2000 to 2004 but the gap decreases from 2004 to 2009. The income gap can be largely explained by the individuals' attributes, especially by the level of education and type of occupation.

As China exhibited unprecedented rapid economic growth ever since its reform and opening, the development and sources of labor productivity has gradually come to the forefront. This paper studies the development and the source of labor productivity in 31 Chinese provinces during 2000–2009. The labor productivity is investigated through an examination at both the levels and the growth rate. Particularly, we first look at the production function relationship, to see the contribution of labor and other production factors to the gross domestic product. Then, a number of possible determinants are defined. They are regressed on the level and the growth rate of labor productivity to shed light on their relationships. Controlled for unobserved time-specific and province-specific effects, the fixed effects model with heteroskedasticity robust adjustments have been used for the estimation of three functions. Regional breakdown shows severe disparity in the economy where three municipal cities have the highest labor productivity among other regions. Subsequently, we summarize the different sources and their contributions to labor productivity and provide several policy suggestions.

This paper estimates the gender wage gap and its composition in China’s urban labor market. The traditional Blinder–Oaxaca (1973) decomposition method with different weighing systems is employed. To correct for potential selection bias caused by women’s labor force participation, we employ the Heckman’s two-step procedure to estimate the female wage function. A large proportion of the gender wage gap is unexplained by differences of productive characteristics of individuals. Even though women have higher level of education attainments on average, they receive lower wages than men. Both facts suggest a potential discrimination against women in China.