人口研究 ›› 2014, Vol. 38 ›› Issue (4): 87-100.

• 论文 • 上一篇    下一篇

代际差异视角下的农民工精神健康状况

梁宏   

  1. 中山大学社会学与人类学学院, 广州 510275
  • 出版日期:2014-07-29 发布日期:2014-11-03
  • 作者简介:中山大学社会学与人类学学院副教授
  • 基金资助:

    教育部哲学社会科学研究重大课题攻关项目“农民工权益保护理论与实践研究(09JZD0032)

Mental Health of Peasant Workers:An Intergenerational Perspective

Liang Hong   

  1. School of Sociology and Anthropology,Sun Yat-sen University,Guangzhou 510275
  • Online:2014-07-29 Published:2014-11-03
  • About author:Associate Professor,School of Sociology and Anthropology,Sun Yat-sen University

摘要: 近年来,农民工自杀事件引起社会各界对该群体精神健康问题的高度关注。由于此类事件的死者多为新生代农民工,那么,是否可以判断新生代农民工的精神健康状况更差,或者,不同代际农民工的精神健康状况是否存在着不同的影响模式。文章利用2010 年“农民工权益保护理论与实践研究”的外来工抽样调查数据资料,分析了代际差异对农民工精神健康状况的影响,并且,比较了新生代与老一代农民工精神健康状况影响模式的差异。分析结果显示,代际差异对农民工精神健康状况的影响不是简单的年龄效应,而是具有明显的世代效应,即通过工厂内、外因素及社会心理因素来影响农民工的精神健康状况;同时,新生代与老一代农民工精神健康状况有显著影响的因素也存在很多不同。研究建议,要从生命历程的视角来关注新生代农民工,从世代效应出发去看待他们的问题,促进他们更快、更好地融入城市社会。

关键词: 精神健康, 代际差异, 龄效应, 世代效应

Abstract: Drawing upon data from the 2010 Sample Survey of the Research of Theory and Practice of Peasant Workers’ Rights and Interests Protection conducted in Pearl Rver Delta and Yangtze River Delta,this paper examines patterns and determinants of mental health of peasant workers in the context of intergenerational difference,focusing on the impact of intergenerational difference on mental health of peasant workers by comparing the new generation with the old generation migrant workers. Results suggest that the impact of intergenerational difference on mental health of peasant workers involves major cohort effect in addition to age effect. Factors inside and outside workplace and social psychology have significant effect on the mental health of peasant workers,which are apparently different between the new and the old generation migrant workers. Life course and cohort effect perspectives are fundamentally important to deal with issues related to the new generation migrant workers for their integration into the cities.

Keywords: Mental Health, Intergenerational Difference, Age Effect, Cohort Effect