Happiness Effect of the Social Security Participation in Urban and Rural China: An Empirical Analysis Based on CGSS 2015 Data
- DOI
- 10.2991/essaeme-18.2018.41How to use a DOI?
- Keywords
- happiness effect, social security participation, endowment insurance, medical insurance
- Abstract
Based on the Chinese General Social Survey (CGSS) 2015 and the ordered logit regression analysis, this study empirically estimates the happiness effect of the social security participation in urban and rural China. The results are as follows: (1) Social security participation has a significant impact on improving the subjective sense of happiness of the residents, the more the benefits they enjoy, the happier they feel. (2) The happiness effect of the social security participation on rural households is greater than that of the urban households, and the former can get more enjoyment from the social security system. (3) The happiness impact of the medical insurance participation is greater than that of the endowment insurance, and the relationship between the endowment insurance participation and the residents' happiness is not significant. Overall, the relationship between the social security participation and the happiness of urban and rural residents can provide a reference for the construction of the social security system in contemporary China.
- Copyright
- © 2018, 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 - Jiao Zhang AU - Jianding Ding PY - 2018/07 DA - 2018/07 TI - Happiness Effect of the Social Security Participation in Urban and Rural China: An Empirical Analysis Based on CGSS 2015 Data BT - Proceedings of the 2018 4th International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2018) PB - Atlantis Press SP - 213 EP - 218 SN - 2352-5398 UR - https://doi.org/10.2991/essaeme-18.2018.41 DO - 10.2991/essaeme-18.2018.41 ID - Zhang2018/07 ER -