Influence Paths of Fertility Intention of Unmarried Women of Childbearing Age Based on Bayesian Network Model

Deqi Wang, Yonghong Zou
{"title":"Influence Paths of Fertility Intention of Unmarried Women of Childbearing Age Based on Bayesian Network Model","authors":"Deqi Wang, Yonghong Zou","doi":"10.1109/ECICE52819.2021.9645655","DOIUrl":null,"url":null,"abstract":"According to the data from the seventh census, the proportion of the elderly population and the total dependency coefficient in China have increased significantly compared with that of the sixth census. The fertility situation is grim. The desire to procreate is the premise of procreation. The research on the influence of unmarried women of childbearing age on fertility intention is helpful to predict the change of fertility behavior and fertility trend. The paper applies the Bayesian network model to explore the influencing process of unmarried women's fertility intention and form the influence paths. Objective and social factors are considered as input variables, and fertility intention is taken as output variables in the network. Based on the data obtained from the National Social Science Fund project survey, the causal relationship and influence path between input variables and fertility intention are established. Social factors are considered to be the fertility tradition of unmarried women's environment and the attitude of people around them towards fertility intention. Therefore, this may be beyond the framework of cost-utility analysis. It is concluded that social factors will have an impact on unmarried fertility intention, and there is a complex relationship among them. The marriage intention affects the fertility intention, and it is affected by the personal income, which has a direct impact on the fertility intention. Besides, it is found that unmarried women's age, household registration type, educational background, and current residence had little influence on their fertility intention. It is noteworthy that this is the first attempt to choose the Bayesian network model to study fertility intention. The path between realistic factors and subjective perception of fertility desire needs further research.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECICE52819.2021.9645655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

According to the data from the seventh census, the proportion of the elderly population and the total dependency coefficient in China have increased significantly compared with that of the sixth census. The fertility situation is grim. The desire to procreate is the premise of procreation. The research on the influence of unmarried women of childbearing age on fertility intention is helpful to predict the change of fertility behavior and fertility trend. The paper applies the Bayesian network model to explore the influencing process of unmarried women's fertility intention and form the influence paths. Objective and social factors are considered as input variables, and fertility intention is taken as output variables in the network. Based on the data obtained from the National Social Science Fund project survey, the causal relationship and influence path between input variables and fertility intention are established. Social factors are considered to be the fertility tradition of unmarried women's environment and the attitude of people around them towards fertility intention. Therefore, this may be beyond the framework of cost-utility analysis. It is concluded that social factors will have an impact on unmarried fertility intention, and there is a complex relationship among them. The marriage intention affects the fertility intention, and it is affected by the personal income, which has a direct impact on the fertility intention. Besides, it is found that unmarried women's age, household registration type, educational background, and current residence had little influence on their fertility intention. It is noteworthy that this is the first attempt to choose the Bayesian network model to study fertility intention. The path between realistic factors and subjective perception of fertility desire needs further research.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于贝叶斯网络模型的未婚育龄妇女生育意愿影响路径
根据第七次人口普查的数据,与第六次人口普查相比,中国的老年人口比例和总抚养系数都有了明显的提高。生育状况十分严峻。生育的欲望是生育的前提。研究育龄未婚妇女对生育意愿的影响,有助于预测生育行为的变化和生育趋势。本文运用贝叶斯网络模型探讨未婚女性生育意愿的影响过程,形成影响路径。在网络中,客观因素和社会因素作为输入变量,生育意愿作为输出变量。基于国家社科基金项目调查数据,建立了输入变量与生育意愿之间的因果关系和影响路径。社会因素被认为是未婚女性所处环境的生育传统和周围人对生育意愿的态度。因此,这可能超出了成本效用分析的框架。结果表明,社会因素会影响未婚生育意愿,且社会因素与未婚生育意愿之间存在复杂的关系。婚姻意愿影响生育意愿,且受个人收入的影响,个人收入对生育意愿有直接影响。此外,研究发现未婚女性的年龄、户籍类型、学历、居住地对其生育意愿影响不大。值得注意的是,这是首次尝试选择贝叶斯网络模型来研究生育意愿。现实因素与生育欲望主观感知之间的路径有待进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Experimental Demonstration of 128QAM-OFDM Encoded Terahertz Signals over 20-km SMF Evaluation of Learning Effectiveness Using Mobile Communication and Reality Technology to Assist Teaching: A Case of Island Ecological Teaching [ECICE 2021 Front matter] Application of Time-series Smoothed Excitation CNN Model Study on Humidity Status Fuzzy Estimation of Low-power PEMFC Stack Based on the Softsensing Technology
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1