Abstract:In the context of population aging, the employment transition issues faced by a large number of over-aged migrant workers have attracted widespread attention. To promote the re-employment of over-aged migrant workers, hence, effectively utilizing the elderly human resources plays a key role in actively addressing the challenges posed by aging population. This study expands the two-dimensional analytical framework of Lewin's model, and focuses on constructing an analytical framework of factors affecting the R-OMW from individual, family, and social three-dimensional perspectives. Based on the 2020 China Family Panel Studies data, it employs methods such as Probit regression to test the analytical framework. Results indicate the rationality of the analytical framework of R-OMW; and micro factors like age and health status, meso-level factors like family economy and family relations, as well as macro factors including social security and community facilities significantly impact the R-OMW. The study suggests that measures such as enhancing the labor skills of over-aged migrant workers, strengthening family and social support, and unleashing inherent driving forces, family support, and social pull be taken to collectively achieve the R-OMW.