How Does Opportunity Inequality Affect Education Inequality and Income Distribution?
an Empirical Analysis on China
- https://doi.org/10.2991/aebmr.k.210319.076How to use a DOI?
- Educational inequality, Logit model, Shapley decomposition
Based on the data of Chinese General Social Survey (CGSS) in 2015, this research analyses how environmental factors influence educational inequality and income distribution in China through logit model and other models quantitatively. The results show that there is a significant opportunity inequality in China’s education, which is mainly reflected in the differences between urban and rural areas, family culture and political background. Through Shapley decomposition, this research can conclude the result that the factor of rural-urban difference contributes to more than 50% of whether people can get higher education, which indicates that there is a significant difference between urban and rural education level; the role of family culture and political factors has also grown from 36.82% for people born in 60s to 47.68% for people born in post-90s, revealing that education has obvious intergenerational transmission characteristics. Moreover, we get from the regression model that environmental factors have a great impact on individual’s income, and effort factor can weaken the income opportunity inequality result. Finally, this paper also puts forward the corresponding policy recommendations according to the research conclusions.
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yaxuan Li PY - 2021 DA - 2021/03/22 TI - How Does Opportunity Inequality Affect Education Inequality and Income Distribution? BT - Proceedings of the 6th International Conference on Financial Innovation and Economic Development (ICFIED 2021) PB - Atlantis Press SP - 410 EP - 419 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.210319.076 DO - https://doi.org/10.2991/aebmr.k.210319.076 ID - Li2021 ER -