基于贝叶斯网络模型的未婚育龄妇女生育意愿影响路径

Deqi Wang, Yonghong Zou
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摘要

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