社会信任与生育意愿:来自中国的证据,具有因果关系和结构见解

IF 9.8 1区 经济学 Q1 BUSINESS, FINANCE
Xin Deng, Yang Wang, Xiaobo Tao
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引用次数: 0

摘要

本文利用中国综合社会调查(CGSS)具有全国代表性的数据,研究了社会信任对生育意愿的因果影响。为了提供结构性解释,我们开发了一个隐式重叠代(OLG)模型,其中社会信任降低了生育的感知成本并提高了预期的代际回报。仿真结果表明,在不同的参数设置下,信任和生育能力之间存在增强的动态关系。为了解决潜在的内生性问题,我们构建了一个基于省地形坡度的工具变量,该变量捕获了长期信任形成的外生变化。结果表明,较高的人际信任水平显著增加了理想子女数量,并且估计对替代信任测量和高维控制具有鲁棒性。子样本结果突出了收入水平、年龄组、户口状况和性别的异质性。机制分析进一步表明,信任在一定程度上通过提高主观幸福感和感知社会公平来发挥作用。研究结果强调了社会信任在塑造生殖行为方面的作用,并建议建立信任的政策可以补充传统的生育支持计划,特别是在低信任的环境中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social trust and fertility intentions: Evidence from China with causal and structural insights
This paper examines the causal impact of social trust on fertility intentions using nationally representative data from the China General Social Survey (CGSS). To provide structural interpretation, we develop a implicit overlapping generations (OLG) model in which social trust reduces the perceived cost of childbearing and enhances expected intergenerational returns. Simulation results reveal a reinforcing dynamic between trust and fertility across different parameter settings. To address potential endogeneity, we construct an instrumental variable based on provincial terrain slope, which captures exogenous variation in long-run trust formation. The results show that higher levels of interpersonal trust significantly increase the ideal number of children, and the estimates are robust to alternative trust measures and high-dimensional controls. Subsample results highlight heterogeneity by income level, age group, hukou status, and gender. Mechanism analyses further indicate that trust operates partly through improving subjective wellbeing and perceived social fairness. The findings underscore the role of social trust in shaping reproductive behavior and suggest that trust-building policies may complement conventional fertility support programs, especially in low-trust environments.
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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