经济理论与经济管理

• 企业与组织研究 • 上一篇    下一篇

互联网使用与工资收入差距*——基于CHNS数据的经验分析

李雅楠1,谢倩芸2   

  1. 1    首都经济贸易大学劳动经济学院;    2   中国社会科学院人口与劳动经济研究所。
  • 出版日期:2017-07-18 发布日期:2017-07-24
  • 基金资助:
    本文得到国家社会科学基金青年项目(16CJY013)的资助。

THE IMPACT OF INTERNET USE ON WAGE AND WAGE DISTRIBUTION——Based on CHNS Data#br#

LI Ya-nan1,XIE Qian-yun2   

  1. 1. School of Labor Economics, Capital University of Economics and Business;
    2.Institute of Population and Labor Economics, Chinese Academy of Social Sciences
  • Online:2017-07-18 Published:2017-07-24

摘要:

基于2004—2011年的中国营养与健康调查数据(CHNS),本文使用最小二乘法和控制自选择偏差的倾向性得分匹配法详细估计了互联网使用对工资收入的影响。结果表明,互联网使用对个体工资收入有积极的影响,尤其对于拥有高中学历的个体而言,这种影响更大。本文进一步使用基于RIF回归的FFL分解方法考察了互联网使用对工资不平等的影响。本文发现,2004—2011年间互联网使用比例的增加降低了整体工资不平等,且使用过互联网的高中学历人员比例增加有助于降低高工资与中等工资收入人群的工资差距。同时,互联网使用收益率的下降也有助于降低工资不平等,尤其有助于降低高工资与中等工资收入人群之间的工资差距。因此,普及互联网使用,尤其是提高低收入群体的互联网使用比例和普及该群体的高中阶段教育对于抑制不平等的扩大有重要的意义。

关键词: 互联网 , 工资 , 工资不平等 , FFL分解方法

Abstract:

Whats the impact of internet use on labor market? Using China Health and Nutrition Survey (CHNS) data from 2004 to 2011, this paper adopts ordinary least square regression and propensity score matching method to estimate the effect of internet use on wage. The results show that there is a positive wage premium to internet user, especially to people with a high school diploma. By using the FFL decomposition method, this paper also analyzes the impact of internet use on wage distribution. The results show that the expansion in internet use between 2004 and 2011 reduced the wage inequality, but widened the wage differences between middle, high wage earners and low wage earners. In addition, the results show that the decrease in the rate of internet use reduced the wage inequality, which was particularly helpful for reducing the wage gap between high wage earners and middle wage earners. Based on the previous research, this paper evaluates the effect of internet use on wage and wage distribution quantitatively. The results above enrich the existing research literature and provide useful policy suggestions for formulating information industrial policy and reducing wage inequality.

Key words: internet use , wage , wage inequality , FFL decomposition method