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Empirical research on the correlation between rural divorce rates and male marriage costs

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DOI: 10.23977/jsoce.2023.050616 | Downloads: 30 | Views: 522

Author(s)

Junji Li 1, Chengcheng Wang 1

Affiliation(s)

1 School of Economics, Wuhan Polytechnic University, Wuhan, Hubei, 430048, China

Corresponding Author

Junji Li

ABSTRACT

This research aimed at exploring the correlation between rural divorce rates and marriage costs for men and to reveal the influence of education level on this relationship. By collecting data from 36 rural samples, the data were processed and analyzed by descriptive statistical analysis, correlation analysis, differential analysis, regression analysis and sensitivity analysis. The results showed a significant negative correlation between rural divorce rates and male marriage costs, where areas with higher male marriage costs tend to be accompanied by lower rural divorce rates. Moreover, education level also has a significant impact on rural divorce rates, which are lower among higher educated individuals. The results of the regression analysis further verified the predicted effect of the male marriage cost on the rural divorce rate. The findings of this research are important for understanding and addressing rural marriage problems and provide an empirical basis for the development of relevant policies.

KEYWORDS

Rural divorce rate, Cost of male marriage, Correlation analysis, Empirical research

CITE THIS PAPER

Junji Li, Chengcheng Wang, Empirical research on the correlation between rural divorce rates and male marriage costs. Journal of Sociology and Ethnology (2023) Vol. 5: 79-85. DOI: http://dx.doi.org/10.23977/jsoce.2023.050616.

REFERENCES

[1] Gao Hanju, Lu Chengwen. The construction of marriage cost and its institutionalist analysis—based on Zhejiang survey [J]. Youth Exploration, 2019(05):104-112. DOI:10. 13583/j. cnki. issn1004-3780. 2019. 05. 009. 
[2] Jin Xiaoyi, Duan Zhuqing. What is the source of the bride price: a study on the cost of male marriage in rural China under urbanization [J]. Women's Studies, 2019 (06): 18-31. 
[3] Zhu Kaojin, Yang Chunli. Cost of marriage study for contemporary youth [J]. China Youth Study, 2007(04): 18-20. DOI: 10. 19633/j. cnki. 11-2579/d. 2007. 04. 006. 
[4] Zhang Jun. Female marriage age and marital stability: evidence from the CHNS [J]. The Beijing Social Sciences, 2016(05):77-84. DOI:10. 13262/j. bjsshkxy. bjshkx. 160509. 
[5] Zhao Yan, Sun Hongbing. Measurement analysis of the relationship between economic development and divorce rate in China—Based on VAR method [J]. Value Engineering, 2013, 32(20):8-11. DOI:10. 14018/j. cnki. cn13-1085/n. 2013. 20. 001. 
[6] Zhang Liuwuyezi, Wu Zhaoxiang. Summary of the current research on marital stability in China [J]. The China market, and 2016(24):255-257+275. DOI:10. 13939/j. cnki. zgsc. 2016. 24. 255. 
[7] Cheng Zhong. Study on the influencing factors of the rising divorce rate in China—Space measurement empirical analysis based on the divorce rate data of 284 prefecture-level cities in China [J]. Research on Institutional Economics, 2018 (02): 229-248. 
[8] Zhang Chong, Chen Yuxiu, Zheng Qian. Change trend, influencing factors and countermeasures of divorce rate in China [J]. Journal of Xihua University (Philosophy and Social Sciences Edition), 2020, 39 (02): 41-49. 
[9] Xu Chang. Study on the influencing factors of divorce rate under the rapid economic development in China [J]. Statistical Theory and Practice, 2021 (12): 60-64. 
[10] Sun Shaomin. Factors and legal response to the rise of divorce rate in China [J]. Journal of the Party School of the CPC Shanxi Province, 2017, 40(06):107-109. DOI:10. 13964/j. cnki. zgsxswdx. 2017. 06. 025. 
[11] Li Zaijun, Liu Shuaibin, Ma Zhifei, etc. Spatial heterogeneity analysis of provincial divorce rates in China [J]. Progress in Geography Science, 2017, 36 (10): 1313-1320. 
[12] Fan Ziying, Hu Xianmin. Unanticipated income shocks and divorce: Evidence from the housing market [J]. Journal of Huazhong University of Science and Technology (Social Science Edition), 2015, 29(01): 110-117. DOI: 10. 19648/j. cnki. jhustss1980. 2015. 01. 016. 
[13] Fan Ziying. Divorce for buying a house—Research based on housing purchase restriction policy [J]. World Economy Wenhui, 2016 (04): 1-17. 
[14] Mao Xiaomeng, Wang Xia, Liu Ming. Influinfluencing factors of current social marriage stability in China —— empirical study based on spatial measurement model [J]. Statistical Journal, 2020, 1(03): 46-56. DOI: 10. 19820/j. cnki. issn2096-7411. 2020. 03. 005. 
[15] Wang Xiaolei, Yang Xiaolei. Research on the influence of couple education matching on marriage quality —— based on the perspective of social sex [J]. Northwest population, 2019, 40(02):107-118. DOI:10. 15884/j. cnki. issn. 1007-0672. 2019. 02. 010. 
[16] Wang Jie, Li Yaojun. Educational marriage matching and marital satisfaction [J]. Population Science of China, 2021 (02): 52-63 + 127. 
[17] Guo Yunwei. The influence of education level on the risk of divorce and its time changes [J]. Population Study, 2021, 45 (06): 96-109. 
[18] Peng Jiao, Bi Zhongpeng, Zhai Zhenwu. Study on the marital status stability of the floating population in China [J]. Northwest population, 2022, 43(03):1-12. DOI:10. 15884/j. cnki. issn. 1007-0672. 2022. 03. 001. 
[19] Li Xiaomin. The impact of Internet access on divorce rates [J]. Population Science of China, 2014 (03): 77-87 + 127. 
[20] Cheng Shixiong, Jin Meiling. Chinese city size and residents' marriage benefits [J]. Fujian Forum (Humanities and Social Sciences edition), 2023 (06): 183-200. 
[21] Gao Mengtao. Rural divorce rate and outside employment: a study based on the village panel data in China from 2003 to 2009 [J]. The world economy, and the 2011, 34(10):55-69. DOI:10. 19985/j. cnki. cassjwe. 2011. 10. 005. 
[22] Liu Binbin, Cui Feifei, Shi Qinghua. Labour mobility and the village divorce rate [J]. Rural Economy in China, 2018 (10): 71-92. 
[23] Mo Weiqiao, Shi Jinchuan. The influence of rural population mobility on divorce rates [J]. Population Science of China, 2015 (05): 104-112 + 128. 
[24] Peng Xiaohui, Zhang Bichao, Shi Qinghua. Labor mobility and rural divorce rate—Based on the perspective of two-way labor mobility [J]. World Economy Wenhui, 2018 (04): 36-52. 
[25] Xu Anqi, Ye Wenzhen. Analysis of the regional differences in divorce rates in China [J]. Population Study, 2002 (04): 28-35. 
[26] Tan Yuanfa, Song Yinshu. Study on the impact of demographic changes on the rising crude divorce rate [J]. Journal of Demographic Studies, 2015, 37 (02): 34-40.

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