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国家级大数据综合试验区设立对城乡收入差距的影响研究

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文章基于国家级大数据综合试验区设立的准自然实验,使用 2010-2019 年中国 202 个地级市面板数据,构建多期双重差分模型,实证分析国家级大数据综合试验区设立对城乡收入差距的影响及其作用机制.研究发现:国家级大数据综合试验区设立显著缩小了城乡收入差距,该结论经一系列稳健性检验后仍成立.机制检验表明,加快数字基础设施建设和提高城镇化水平是大数据综合试验区设立缩小城乡收入差距的两个重要机制.异质性分析发现,国家级大数据综合试验区设立缩小城乡收入差距的效应主要集中在东部地区和行政等级低的城市,而在中西部地区和行政等级高的城市未见显著影响.研究结论为推动数字经济发展助力实现共同富裕提供了经验证据.
Research on the Impact of the Establishment of National Big Data Comprehensive Pilot Zone on the Income Gap between Urban and Rural Areas
The article is based on a quasi-natural experiment set up by the national big data comprehensive pilot zone,using panel data from 202 prefecture level cities in China from 2010 to 2019.By constructing a multi-period double difference model,the article empirically analyzes the impact and mechanism of the es-tablishment of the national big data comprehensive pilot zone on the urban-rural income gap.Research has found that the establishment of national big data comprehensive pilot zone can significantly reduce the ur-ban-rural income gap,and this conclusion is still valid after a series of robustness tests.The mechanism test found that accelerating the construction of digital infrastructure and improving the level of urbanization are two important mechanisms for the construction of big data comprehensive pilot zone to narrow the ur-ban-rural income gap.The heterogeneity analysis found that the effect of narrowing the urban-rural income gap in the national big data comprehensive zone is mainly concentrated in the eastern region and low admin-istrative level cities,while there is no significant impact in the central and western regions and high admin-istrative level cities.The research conclusions provide empirical evidence for promoting the development of digital economy to help achieve common prosperity.

national big data comprehensive pilot zoneurban-rural income gapcommon prosperitymulti-period double difference

侯杨未、胡安

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浙江工业大学 经济学院,浙江 杭州 310014

国家级大数据综合试验区 城乡收入差距 共同富裕 多期双重差分

浙江省大学生科技创新活动计划(新苗人才计划)

2023R403075

2024

上海管理科学
上海市管理科学协会

上海管理科学

CHSSCD
影响因子:0.466
ISSN:1005-9679
年,卷(期):2024.46(3)
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