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农业劳动力转移及其影响因素——基于CGSS2021数据的实证分析

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农业劳动力转移及其影响因素是近年来学术界研究的一个重要话题.基于中国综合社会调查(CGSS2021)数据,通过应用二元Logistic回归分析个人特征、家庭层面和社会层面因素对农业劳动力转移行为的影响.研究发现,性别、年龄、健康状况、受教育程度等个体特征显著影响农业劳动力转移行为,年龄较低、健康状况不佳、受教育程度较低的农业劳动力更倾向处于未转移状态;婚姻状况、家庭规模等家庭层面因素显著影响农业劳动力转移行为;医疗保险、家庭经济状况、社会经济地位对农业劳动力转移行为无显著影响.最后拟提出以下建议,对农业劳动力就业弱势群体实施定向就业援助;大力发展县乡产业;建立长效的待遇保障机制以提高农业劳动力的就业质量.
Agricultural Labor Transfer and Its Influencing Factors:Empirical Analysis Based on CGSS2021 Data
Agricultural labor transfer and its influencing factors have been an important topic in academic research in recent years.Based on the data of the China Comprehensive Social Survey(CGSS2021),the influence of personal characteristics,family level and social factors on agricultural labor transfer behavior was analyzed by applying binary logistic regression.The results show that individual characteristics such as gender,age,health status,and education level significantly affect the transfer behavior of agricultural labor,and agricultural laborers with lower age,poor health and lower education level are more inclined to be in the state of non-transfer.Family-level factors such as marital status and family size significantly affected the transfer behavior of agricultural labor.Medical insurance,family economic status and social status have no significant impact on the transfer behavior of agricultural labor.Finally,the following suggestions are proposed to implement targeted employment assistance for the vulnerable groups of agricultural labor force employmen,vigorously develop county and township industries,establish a long-term treatment guarantee mechanism to improve the quality of employment of agricultural labor.

agricultural laborLogistic regressionCGSS2021

黄永祥、陆善发、杨传喜

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桂林理工大学马克思主义学院,广西桂林 541006

桂林理工大学商学院,广西桂林 541004

农业劳动力 Logistic回归 CGSS2021

2024

科技和产业
中国技术经济学会

科技和产业

影响因子:0.361
ISSN:1671-1807
年,卷(期):2024.24(24)