生育率
竞赛(生物学)
私立教育
总生育率
人口经济学
经济
出生率
业务
劳动经济学
私立学校
发达国家
公共经济学
心理学
经济增长
作者
Juanjuan Meng,Hui Wang,Yu Alan Yang,Ming-shan Zhang
摘要
Abstract Low fertility presents a major challenge for many nations. We study whether restricting competition-driven private tutoring can enhance fertility intentions by analysing China’s 2021 private tutoring ban. Using nationwide surveys, we elicit respondents’ fertility intentions under scenarios with and without the policy. The tutoring ban significantly increases expected total fertility by 7–8%, with larger effects in cities under greater policy intensity. Decomposition reveals that the primary driver is perceived reduction in educational competition, followed by improved parental health, parent-child relationships, and reduced time and monetary costs. We also find consistent results on actual birth rates three years after the policy.
科研通智能强力驱动
Strongly Powered by AbleSci AI