四川农业大学学报 ›› 2009, Vol. 27 ›› Issue (02): 252-257.

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四川地震灾区农村劳动力非农就业影响因素分析——基于四川省5县23个村的问卷调查

蒋勇, 谭静, 刘浩, 马标行   

  1. 四川农业大学 经济管理学院, 四川 雅安 625014
  • 收稿日期:2009-02-20 出版日期:2009-06-30 发布日期:2017-02-28
  • 通讯作者: 谭静(E-mail:369168935@qq.com) E-mail:369168935@qq.com
  • 基金资助:
    四川省农村发展研究中心项目基金(CR0803)

The Analysis of the Influence Factors on the Transfer and Resettlement of Rural Labor Force in the Earthquake-stricken Area in Sichuan Province——Investigations from 23 Villages of 5 Counties in Sichuan Province

JIANG Yong, TAN Jing, LIU Hao, MA Biao-hang   

  1. College of Economics and Management, Sichuan Agricultural University, Yaan 625014, Sichuan, China
  • Received:2009-02-20 Online:2009-06-30 Published:2017-02-28

摘要: 基于对地震灾区5个县23个村的问卷调查,建立Probit模型深入探析了灾区农村劳动力非农就业倾向和就业途径选择的影响因素。研究结果表明,年龄的增长降低了灾区农村劳动力从事非农就业尤其是外出务工的可能性;文化程度越高者非农就业的可能性越大,且更倾向于留在本地就业;拥有技能和培训经历、社会关系网络发达的灾区农村劳动力通常选择外出务工;此外,家庭劳动力越多、非农收入比重越高、实际经营农地面积越少,地区非农产业发展水平越高的灾区农村劳动力非农就业可能性越大。

关键词: 地震灾区农村劳动力, 非农就业, 影响因素, Probit模型

Abstract: The paper is based on the investigations from 23 villages of 5 counties, through establishing Probit model, which deeply analyzed the influence factors of non-agricultural employment trend and the choice of employment channels to the labor forces in disaster-stricken area. The results showed that the growth of age reduced the possibility of disaster-stricken rural labor force to engage in non-agricultural employment, especially the possibility of seeking jobs in other places;The higher education level of labor force, the greater possibility of non-agricultural employment and more inclined to stay in the local place for employment;Those rural labor forces in disaster area who have the skills and training experience, well-developed network of social relations usually chose to find jobs in other places;In addition, the more labor force in a family, the higher proportion of non-agricultural incomes, the less total area of the actual operation agricultural land, the higher development level of regional non-agricultural industries, the greater possibility of non-agricultural employment of disaster-stricken rural labor force.

Key words: rural labor force in the earthquake-stricken area, non-agricultural employment, influence factors, Probit model

中图分类号: 

  • F304.6