Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2021.1875862
Research on intergenerational transmission of Chinese residents’ income: Based on data from ten surveys of Chinese Family Tracking Survey from 1989 to 2015
Yang Liu
Melanie Faye
Sažetak
This article uses the rank-ordered probit estimation method and
data from the 10 Chinese Family Tracking Survey from 1989 to
2015 to systematically study how the family background, especially the parental income, of urban and rural residents in China
since its opening affects the intergenerational transmission of
income and income inequality. The results show the following: ‹
The higher the income of parents is, the higher the income of
their offspring. When parents are middle income or above, the
probability of their children earning an upper-middle or high
income increases significantly. › Although the income of mothers
is low, its impact on children’s income is greater than that of the
father’s income. If the mother’s income is middle, upper-middle,
or high income, it will increase the probability of her children
earning a high income by 12.17%, 28.16% and 45.90%, respectively, while the corresponding influence from the father’s income
is 9.62%, 20.69% and 43.82%. fi For children, the degree of intergenerational income inequality is greater for women than for
men, and it is higher in cities than in rural areas. fl The intergenerational transmission of income is persistent across multiple generations, but the transmission from parents is much higher than
from grandparents. It is also difficult for the offspring of a lowerincome couple to obtain a higher income. These conclusions are
robust to examining different samples and examining the predicted impact of various measures of family background on the
income of offspring. Based on the results, this article puts forward
policy recommendations to improve intergenerational income
consolidation and reduce income inequality.
Ključne riječi
Probit estimation; intergenerational income; intergenerational transmission; income inequality
Hrčak ID:
301669
URI
Datum izdavanja:
31.12.2021.
Posjeta: 132 *