导致过度劳动因素的贡献估计 —— 基于因变量方差分解法
DOI:
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:


Factors Causing Overwork and the Estimation of Their Contributions —— Based on the Method of Dependent Variable Variance Decomposition
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    过劳是一种不健康状态,危害严重。有诸多因素导致过劳。估计这些因素对过劳贡献所采用的 计量方法大多为回归分析、相关分析等,可以发现导致过劳的显著变量并估计其边际贡献,但不能估计这些变 量对过劳贡献的比重,据此难以确定反过劳政策的重点。因变量方差分解法用于估计自变量对因变量方差的贡 献,可用于估计导致过劳的因素对过劳的贡献。研究显示,导致过劳因素依其对过劳的贡献依次为:劳动强度、 工作时间、工作满意度、应酬状况、工资拖欠状况、相对支付能力、工作环境、年龄、城市级别、性别、工作 单位类型等。

    Abstract:

    Overwork is an unhealthy state, causing serious harms. There are many factors causing overwork. Currently, regression analysis and correlative analysis etc. are used mostly to identify the significant variables and estimate their marginal contributions, but the relative contributions of these variables to overwork cannot be estimated, causing difficulties to identify the focuses of anti-overwork policy. One of the authors puts forward "the method of dependent variable variance decomposition" which can be used to estimate the relative contributions of the independent variables to variance of the dependent variable. Using this method we can estimate the relative contributions of the factors causing overwork. The data used are from the questionnaire survey conducted by the authors in 2017. It is concluded that according to their contributions, the factors causing overwork are: labor intensity, hours of work, job satisfaction, dinner party, wage arrears, relative pay capacity, work environment, age, grade of city, sex, type of working units.

    参考文献
    相似文献
    引证文献
引用本文

樊 明,周文婷.导致过度劳动因素的贡献估计 —— 基于因变量方差分解法[J].中国劳动关系学院,2018,32(2):1-6.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2023-05-19
  • 出版日期:
文章二维码
你可能在找: | | | | | | | | |