Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 7th International Conference on Economic Management and Green Development
Series Vol. 37 , 10 November 2023
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Household Income and Education: An Empirical Research Based on CFPS
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Abstract
In today's fast-paced economy, an increase in income frequently results in improved educational resources. This paper employs an OLS model to examine the relationship between household income and educational attainment. Experiments were conducted with control variables and other steps using data from the 2018 China Family Panel Survey (CFPS), and the results revealed a positive coefficient on the household income variable, providing preliminary evidence that household income has a positive effect on educational attainment, i.e., an increase in household income results in a significant increase in an individual's educational attainment. The purpose of this study is to analyse income and education levels based on individual and household data, to examine the educational base required for future social development, to lay the groundwork for future research, and to suggest that future policies should pay more attention to the distribution of educational resources, as improvements in household conditions can lead to some households falling short of predicted educational levels due to the unequal distribution of educational resources.
Keywords
household income, education, resource equality
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 7th International Conference on Economic Management and Green Development
- ISBN (Print)
- 978-1-83558-095-0
- ISBN (Online)
- 978-1-83558-096-7
- Published Date
- 10 November 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/37/20231828
- Copyright
- 10 November 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited