Abstract: In the era of rapid expansion of the digital economy and the gradual erosion of demographic dividends, enhancing digital literacy provides a new opportunity for the retired population to re-realize their self-worth and harness their comparative advantages. Based on the China Family Panel Studies (CFPS) data, this paper empirically investigates the influence of digital literacy on retirees' re-employment transitions by employing binary Logit and Probit models. The results show that the improvement of digital literacy notably fosters retirees' transition into reemployment, and this promoting effect is stronger among those with greater learning investments. The primary mechanisms underlying this enhancement lie in social integration and social capital augmentation, while the effectiveness of information acquisition depends on retirees' ability to discern information. Notably, the positive impact of improved digital literacy on reemployment is more pronounced among older adults with higher educational attainment and in regions with lower levels of digital economic development. It is recommended that the delayed retirement ages be formulated differentially to facilitate the construction of a digitally inclusive and age-friendly society.

Keywords: Digital Literacy, Reemployment Transition of the Retired People, Population Ageing, Double Machine Learning

摘要： 在数字经济快速发展与人口红利逐渐消退的时代背景下，数字素养提升为退休群体重新实现自我价值、发挥比较优势提供了新契机。基于中国家庭追踪调查数据(CFPS)，采用二元Logit和Probit模型实证考察数字素养对退休群体再就业转型的影响。研究表明，数字素养提升显著促进了退休群体再就业转型，且这种促进作用在退休群体学习投入较高时更强；社会融入效应和社会资本效应是数字素养提升促进退休群体再就业转型的主要作用机制，信息获取效应能否发挥作用则取决于退休群体的信息甄别能力；数字素养提升对退休群体再就业转型的促进作用在受教育程度较高和数字经济发展水平较低地区的退休群体中更强。建议制定差异化延迟退休年龄制度，构建老有所为的数字包容型老龄社会。

关键词: 数字素养, 退休群体再就业转型, 人口老龄化, 双重机器学习