中国劳动关系学院学报2024,Vol.38Issue(5) :113-124.

三维多因视角下的超龄农民工再就业影响因素研究

A Study on the Re-employment of Over-age Migrant Workers under the Three-Dimensional Multi-Causal Perspective

江维国 钟洁
中国劳动关系学院学报2024,Vol.38Issue(5) :113-124.

三维多因视角下的超龄农民工再就业影响因素研究

A Study on the Re-employment of Over-age Migrant Workers under the Three-Dimensional Multi-Causal Perspective

江维国 1钟洁1
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作者信息

  • 1. 湖南农业大学 公共管理与法学学院,湖南 长沙 410128
  • 折叠

摘要

人口老龄化背景下,规模较大的超龄农民工的就业转型问题引发各界关注.促进超龄农民工再就业,合理开发老年人力资源,对积极应对人口老龄化具有重要作用.研究拓展了勒温模型二维分析框架,从个体、家庭和社会三维视角建构了影响超龄农民工再就业的分析框架,并基于2020年中国家庭动态追踪调查数据,运用Probit回归等方法检验了分析框架.结果表明:分析框架有其合理性;年龄、健康状况等微观因素,家庭经济、家庭关系等中观因素,以及社会保障、社区设施等宏观因素,均对超龄农民工重返职场具有显著影响.研究建议,应提升超龄农民工个人劳动技能,强化家庭和社会支持,释放内在驱动力、家庭支持力和社会拉动力,合力实现其再就业.

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.

关键词

超龄农民工/再就业/劳动能力/人口老龄化/R-OMW分析框架

Key words

over-aged migrant workers/re-employment/labor capability/population aging/analytical framework of R-OMW

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出版年

2024
中国劳动关系学院学报
中国劳动关系学院

中国劳动关系学院学报

CHSSCD
影响因子:0.471
ISSN:1673-2375
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