标題: What Dominates the Female Class Identification? Evidence From China

作者: Cheng, P (Cheng, Peng); Zhou, J (Zhou, Jing); Jiang, P (Jiang, Ping); Zhang, ZJ (Zhang, Zhijun)

來源出版物: FRONTIERS IN PSYCHOLOGY 卷: 12 文獻号: 627610 DOI: 10.3389/fpsyg.2021.627610 出版年: FEB 22 2021

摘要: In advocating gender equality today, we should not only pay attention to women's social status but also call for the women's psychological identification of class equality. What dominates female class identification? To answer this question, based on the data of the Chinese General Social Survey (CGSS) in 2015, this study constructs a female class identity framework from five aspects: the mother's intergenerational influence, female personal characteristics, lifestyle, gender consciousness, and spouse status. In this study, the ordered logit model is used to empirically analyze the impact of various factors on female class identification, and the results show the following: (1) gender consciousness has a significant impact on female class identification. (2) Lifestyle has a significant impact on the situation of having a spouse. (3) Spouse status has a significant positive effect on female class identification. But (4) the mother's intergenerational influence has no effect on female class identification. Therefore, this paper suggests that we should improve laws and regulations to protect women's normal rights, encourage women to establish an independent and self-improvement character, and enhance the class consciousness of women, especially rural women, in order to achieve the overall improvement of female class and psychological identification.

入藏号: WOS:000626024400001

PubMed ID: 33692726

語言: English

文獻類型: Article

作者關鍵詞: female class; gender equality; psychological identification; ordered logit model; China

地址: [Cheng, Peng; Jiang, Ping] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

[Zhou, Jing] Guangxi Univ, Sch Publ Adm, Nanning, Peoples R China.

[Zhang, Zhijun] MNR, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen, Peoples R China.

通訊作者地址: Jiang, P (通訊作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

電子郵件地址: longkangkang@whu.edu.cn

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