Research on the Relationship Between Gender Concept and Family Business Model Based on SPSS
- DOI
- 10.2991/978-94-6463-064-0_52How to use a DOI?
- Keywords
- gender concept; family management model; traditional gender division of labor
- Abstract
The application and promotion of big data technology in social science research has made it possible to explain the influence of gender concept on social activities in a deeper and more logical way. Based on the survey data of China General Social Survey (CGSS) in 2015, OLS regression model was used to empirically analyse the effect and mechanism of difference of gender concept on family business model. The results show that the more traditional the gender concept, the more inclined to maintain the traditional family management model, there is a trade-off between individual economic responsibility and family responsibility, and the gender concept of the impact on the family management model is different between rural and urban. The conclusion of this paper, to some extent, explains the changes of family management model caused by the change of gender concept, which has a certain reference value for related research.
- Copyright
- © 2023 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.
Cite this article
TY - CONF AU - Hao Zhang AU - Luyi Liang PY - 2022 DA - 2022/12/27 TI - Research on the Relationship Between Gender Concept and Family Business Model Based on SPSS BT - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022) PB - Atlantis Press SP - 505 EP - 513 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-064-0_52 DO - 10.2991/978-94-6463-064-0_52 ID - Zhang2022 ER -