经济与管理

信息基础设施对城乡收入差距的影响——基于中国260个地级市的门槛效应分析

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  • 云南师范大学 经济与管理学院,云南 昆明 650500
李繁繁(1994—),男,安徽合肥人,云南师范大学经济与管理学院硕士研究生,主要从事区域经济与城乡发展研究。

收稿日期: 2022-03-04

  网络出版日期: 2022-12-16

The Impact of Information Infrastructure on Urban-Rural Income Gap: Based on the Threshold Effect Analysis of 260 Prefecture-Level Cities in China

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  • School of Economics and Management, Yunnan Normal University, Kunming Yunnan 650500

Received date: 2022-03-04

  Online published: 2022-12-16

摘要

信息基础设施连通经济社会发展中的各个主体,在一定程度上克服了地域障碍,降低了城乡经济要素间差异。以2005—2019年全国260个地级市及直辖市为样本,通过双向固定效应模型、门槛模型等方法研究信息基础设施对城乡收入差距的影响。研究发现:信息基础设施规模对城乡收入差距的影响呈现先拉大后缩小的“倒U型”非线性关系。当前,我国大多数城市已越过拐点,进入到缩小城乡收入差距阶段;信息基础设施存在单一门槛,经济发展水平和人力资本水平存在双重门槛,不同门槛值区间信息基础设施对城乡收入差距的影响效果不同;信息基础设施对城镇和农村居民收入水平的作用不同,对城镇居民呈线性正相关,对农村居民呈“正U型”非线性关系。研究的结果基本稳健,根据结论提出针对性的政策建议。

本文引用格式

李繁繁 . 信息基础设施对城乡收入差距的影响——基于中国260个地级市的门槛效应分析[J]. 巢湖学院学报, 2022 , 24(5) : 66 -76 . DOI: 10.12152/j.issn.1672-2868.2022.05.008

Abstract

Information infrastructure connects various subjects in economic and social development, overcomes regional obstacles to a certain extent, and reduces the differences between urban and rural economic factors. With a 2005—2019 national sample of 260 prefecture-level cities and municipalities directly under the central government, the impact of information infrastructure on urban-rural income gap is investigated through bidirectional fixed effects model and the threshold model. The study found that: the impact of the information infrastructure scale on the income gap between urban and rural areas presents an "inverted U shape" nonlinear relationship—an increasing before declining trend. At present, most cities in China have crossed the inflection point and entered the stage of narrowing the income gap. There is a single threshold for information infrastructure, and double thresholds for economic development and education level; the impacts of information infrastructure in different threshold ranges on urban-rural income gap are different. The information infrastructure has different effects on the income level of urban and rural residents, showing a linear positive correlation for urban residents and a "U-shaped" nonlinear relationship for rural residents. The research results are basically sound, and targeted policy suggestions are put forward according to the conclusions.
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