摘要
基于2017年中国综合社会调查的民营企业员工数据,使用稳健最小二乘回归与Oaxaca分解法研究发现:互联网的使用将对未接受过教育以及仅接受过私塾扫盲班/小学教育的民营企业员工工资产生显著的负向影响;互联网的使用将对接受过初中及以上教育的民营企业员工工资产生显著的正向影响;随着民营企业员工受教育水平的提升,互联网的使用对民营企业女性员工工资的弹性影响远超男性;互联网的使用将扩大未接受过教育的民营企业女性员工与男性员工的工资差距;互联网的使用将缩小接受过私塾扫盲班/小学及以上教育的民营企业女性员工与男性员工的工资差距。据此提出,应加大公益互联网使用培训力度,以提升女性的互联网理性使用水平、加强清扫虚假网络平台以防止受教育层次较低女性误入歧途、鼓励女性自主接受多元化再教育以提升自身互联网理性使用水平等,以缩小民营企业员工性别工资差距。
Based on the data of employees in private enterprises in China's comprehensive social survey in 2017,using robust least squares regression and Oaxaca decomposition method,it is found that:The use of the Internet will have a significant negative impact on the wages of employees in private enterprises who have not received education and only received literacy classes/primary education in private schools.The use of the Internet will have a significant positive impact on the wages of employees in private enterprises who have received junior high school education or above.With the improvement of the education level of employees in private enterprises,the use of the Internet has far more impact on the elasticity of wages of female employees in private enterprises than that of men.The use of the Internet will widen the wage gap between female and male employees in uneducated private enterprises.The use of Internet will narrow the wage gap between female employees and male employees in private enterprises who have received literacy classes in private schools/primary schools and above.Therefore,it is suggested that the training of public welfare Internet use should be strengthened to improve women's rational use of Internet,strengthen the cleaning of false network platforms to prevent women with lower education levels from going astray,and encourage women to receive diversified re-education independently to improve their rational use of Internet,so as to narrow the gender wage gap of employees in private enterprises.
作者
刘钥
高嘉诚
王若璇
LIU Yue;GAO Jiacheng;WANG Ruoxuan(School of Finance and Public Administration,Harbin University of Commerce,Harbin 150028,China;Department of Economics,St.Petersburg State University,St.Petersburg, Russia)
出处
《科技和产业》
2022年第1期97-102,共6页
Science Technology and Industry