Empirically Examining the Impact of Education on Subjective Well-Being through CGSS Data and ABM Policy Simulations

DOI

10.2991/978-94-6463-262-0_95How to use a DOI?

Keywords

cgss data; educational attainment; subjective well-being; path analysis

Abstract

This article uses SPSS software to conduct WLS regression and path analysis on the 2015 CGSS data. The factors affecting Chinese residents' subjective well-being were empirically tested. It is found that education level has a positive effect on Chinese residents' happiness, and income level and sense of social class are mediating factors. Finally, combined with the results of the ABM policy simulation, recommendations are made for education reform in China.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Xiaohong Li
AU  - Sumeng Yang
AU  - Yuanze Zhang
AU  - Jinhua Tong
PY  - 2023
DA  - 2023/10/09
TI  - Empirically Examining the Impact of Education on Subjective Well-Being through CGSS Data and ABM Policy Simulations
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 923
EP  - 929
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_95
DO  - 10.2991/978-94-6463-262-0_95
ID  - Li2023
ER  -