摘要
基于分布函数的参数估计法,选取CFPS2016年和2018年数据,实证分析了互联网使用的收入溢价效应。实证结果表明:第一,互联网使用存在收入溢价效应,且不存在明显的选择效应。第二,收入水平异质性分析结果显示,低收入水平的居民从互联网使用中获益更高。第三,互联网使用的收入溢价效应存在城乡差异,且扩大了城乡收入差距,进一步研究发现,农村地区居民互联网素养偏低是导致差距扩大的重要因素。因此,在提高互联网普及率以及推动数字经济发展过程中,既要注重互联网普及率“量”的提升,又要注重居民互联网素养“质”的提升,尤其是农村地区,只有保证“量”“质”齐增,才能有效推动居民收入增长以及减小城乡收入差距,为最终实现共同富裕的目标打下坚实的基础。
Based on the parameter estimation method of distribution function,this paper empirically analyzes the income premium effect of Internet use based the data of CFPS from 2016 to 2018.Empirical results show that,first,internet use has income premium effect,and there is no obvious choice effect.Second,results of income level heterogeneity analysis show that low-income residents benefit more from Internet use.Third,there are urban-rural differences in the income premium effect of Internet use,which has widened the urban-rural income gap.Further research has found that the low Internet Literacy of residents in rural areas is an important factor leading to the widening of the gap.Therefore,in the process of improving Internet penetration and promoting the development of digital economy,it should not only pay attention to the improvement of"quantity"of Internet penetration,but also pay more attention to the improvement of"quality"of residents'Internet literacy.Especially in rural areas,only by ensuring the simultaneous increase of"quantity"and"quality",can it effectively promote the growth of residents'income and reduce the income gap between urban and rural areas,so as to lay a solid foundation for the ultimate realization of the goal of common prosperity.
作者
徐圣翔
刘传江
XU Sheng-xiang;LIU Chuan-jiang(Center for Population,Resource,Environment and Economic Research,Wuhan University,Whuhan 430072;Center for Economic Development Research,Wuhan University,Whuhan 430072;School of Economics and Management,University of Aeronautics and Astronautics,Nanjing 211106)
出处
《软科学》
北大核心
2023年第6期81-88,122,共9页
Soft Science
基金
国家社会科学基金项目(19AJL014)
教育部人文社会科学重点研究基地重大项目(16JJD790044)。
关键词
互联网
收入溢价
参数估计法
城乡收入差距
互联网素养
internet
income premium
parameter estimation
income gap between urban and rural areas
internet literacy