A Study on the Influencing Factors of Labor Participation Rate Among Low-Age Migrant Elderly Population
Abstract
younger mobile elderly population. It examines these factors from various angles, including demographic characteristics, family dynamics,
health status, economic conditions, and social security. Furthermore, a logit regression model is established to conduct a regression analysis
on the influencing factors of labor participation among the younger mobile elderly. Through empirical analysis, it is found that age, gender,
intergenerational support, and health status have significant impacts on the labor participation of this population group. Based on these empirical results, relevant suggestions are proposed at the individual, societal, and national levels to enhance the labor participation of the younger
mobile elderly population.
Keywords
Full Text:
PDFReferences
[1] Song Yueping, Zhang Guangying, Peng Keyu. The Current Status, Characteristics, and Trends of Labor Participation among Low-Age
Elderly in China [J]. Population Research, 2024, 48(02): 75-89.
[2] Song Quancheng, Yin Kang. Research on the Employment Status and Influencing Factors of Low-Age Elderly Migrants in China [J].
Journal of University of Jinan (Social Science Edition), 2023, 33(03): 116-128180.
[3] Li Yutong. Analysis of the Characteristics and Social Integration of Elderly Migrants in China [J]. Frontiers of Social Sciences, 2021, (03):
270-275.
[4] Song Yunqian. Research on the Employment Status and Influencing Factors of Rural-Urban Elderly Migrants from the Perspective of
Active Aging [D]. Chongqing Technology and Business University, 2020.
[5] Lv Zhijun, Li Huazhan. Development of Human Capital of Low-Age Elderly in Jiangsu Province [J]. Journal of Jiangsu College of Engineering and Technology, 2019, 19(02): 37-42.
DOI: http://dx.doi.org/10.18686/frim.v2i4.4333
Refbacks
- There are currently no refbacks.