{"title":"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","authors":"Xin Deng, Yang Wang, Xiaobo Tao","doi":"10.1016/j.irfa.2025.104616","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"107 ","pages":"Article 104616"},"PeriodicalIF":9.8000,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Social trust and fertility intentions: Evidence from China with causal and structural insights\",\"authors\":\"Xin Deng, Yang Wang, Xiaobo Tao\",\"doi\":\"10.1016/j.irfa.2025.104616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":48226,\"journal\":{\"name\":\"International Review of Financial Analysis\",\"volume\":\"107 \",\"pages\":\"Article 104616\"},\"PeriodicalIF\":9.8000,\"publicationDate\":\"2025-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Review of Financial Analysis\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1057521925007033\",\"RegionNum\":1,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Financial Analysis","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1057521925007033","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
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.
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.