Broadband internet and income inequality among the floating population: Evidence from the “broadband China” strategy in China

IF 5.5 1区 经济学 Q1 ECONOMICS 中国经济评论 Pub Date : 2025-04-01 Epub Date: 2025-02-13 DOI:10.1016/j.chieco.2025.102369
Qingfeng Cao , Pengfei Ni , Jing Guo
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Abstract

Using the “Broadband China” strategy as a quasi-natural experiment, we employ the difference-in-differences model to examine the impact of broadband internet on the income inequality among the floating population based on the panel data of 35 major cities in China from 2011 to 2018. We find that broadband internet significantly widens the income inequality among the floating population. This conclusion still holds after robust tests including parallel trends, placebo, endogeneity, and treatment effects heterogeneity. The mechanism analysis indicates that broadband internet widens income gap between the high-skilled and low-skilled floating population, as well as between the urban and non-urban registered household floating population, but does not substitute for labor. Further analysis shows that broadband internet leads to skill-biased technological progress rather than routine-biased technological progress, has a greater effect on widening the income inequality among the inter-province, established and young floating population, and represents a Pareto improvement for the floating population's welfare.
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宽带互联网与流动人口收入不平等:来自中国“宽带中国”战略的证据
本文以“宽带中国”战略为准自然实验,基于2011 - 2018年中国35个主要城市的面板数据,采用差中差模型考察了宽带互联网对流动人口收入不平等的影响。研究发现,宽带互联网显著扩大了流动人口的收入不平等。在包括平行趋势、安慰剂、内生性和治疗效果异质性在内的强有力的检验后,这一结论仍然成立。机制分析表明,宽带互联网扩大了高技能和低技能流动人口之间、城市和非城市户籍流动人口之间的收入差距,但没有替代劳动力。进一步分析表明,宽带互联网导致了技能偏倚的技术进步,而不是常规偏倚的技术进步,对扩大省际、成熟和年轻流动人口之间的收入不平等有更大的影响,对流动人口的福利有帕累托改善。
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来源期刊
中国经济评论
中国经济评论 ECONOMICS-
CiteScore
10.60
自引率
4.40%
发文量
380
期刊介绍: The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.
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