Unleashing the digital dividend: Exploring how the digital economy promotes the construction of new urbanization in China’s 284 prefecture-level cities?

IF 7.9 2区 经济学 Q1 ECONOMICS Economic Analysis and Policy Pub Date : 2024-12-25 DOI:10.1016/j.eap.2024.12.028
Rui Chen , Yufeng Wang , Qi Wang , Lingling Zhang , Ruoxi Xiong
{"title":"Unleashing the digital dividend: Exploring how the digital economy promotes the construction of new urbanization in China’s 284 prefecture-level cities?","authors":"Rui Chen ,&nbsp;Yufeng Wang ,&nbsp;Qi Wang ,&nbsp;Lingling Zhang ,&nbsp;Ruoxi Xiong","doi":"10.1016/j.eap.2024.12.028","DOIUrl":null,"url":null,"abstract":"<div><div>In a “digital” era, developing the digital economy has become a key stepping stone for advancing new urbanization and common prosperity. This study explores the dynamic evolution characteristics of digital economy and new urbanization from the temporal-spatial dimensions through kernel density estimation (KDE). Spatial autocorrelation analysis and panel data spatial Durbin model (SDM) were used to empirically test the impact process, transmission path and spatial spillover effect of digital economy on new urbanization. In addition, the study further used the spatial distance threshold method and spatial difference-in-differences (SDID) to conduct detailed empirical tests on the heterogeneity of multi-distance thresholds, regional heterogeneity and robustness of the results of impact of digital economy on new urbanization. The study found that: (1) Digital economy and new urbanization both displayed a general growth tendency from 2011 to 2019, but both had significant temporal-spatial differences. (2) The improvement of digital economy not only supported local new urbanization efforts, but also generated positive spatial spillover effects on new urbanization in neighboring regions. (3) The spatial spillover of digital economy exhibited boundary and geographical attenuation characteristics effects on new urbanization, with spillover peaking at 800 km and attenuation reaching its limit at 1800km. (4) For regional heterogeneity, eastern region and urban agglomeration were more sufficient for the release of dividend and spillover spread of digital economy development. Technological innovation and industrial structure optimization were identified as crucial paths for transmission mechanism through which digital economy promote the construction of new urbanization. Therefore, to achieve regional coordination and common prosperity and further enhance spillover effects, efforts be made to integrate the digital economy with new urbanization, especially in central and western regions and non-central cities.</div></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"85 ","pages":"Pages 818-834"},"PeriodicalIF":7.9000,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Analysis and Policy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0313592624003667","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

In a “digital” era, developing the digital economy has become a key stepping stone for advancing new urbanization and common prosperity. This study explores the dynamic evolution characteristics of digital economy and new urbanization from the temporal-spatial dimensions through kernel density estimation (KDE). Spatial autocorrelation analysis and panel data spatial Durbin model (SDM) were used to empirically test the impact process, transmission path and spatial spillover effect of digital economy on new urbanization. In addition, the study further used the spatial distance threshold method and spatial difference-in-differences (SDID) to conduct detailed empirical tests on the heterogeneity of multi-distance thresholds, regional heterogeneity and robustness of the results of impact of digital economy on new urbanization. The study found that: (1) Digital economy and new urbanization both displayed a general growth tendency from 2011 to 2019, but both had significant temporal-spatial differences. (2) The improvement of digital economy not only supported local new urbanization efforts, but also generated positive spatial spillover effects on new urbanization in neighboring regions. (3) The spatial spillover of digital economy exhibited boundary and geographical attenuation characteristics effects on new urbanization, with spillover peaking at 800 km and attenuation reaching its limit at 1800km. (4) For regional heterogeneity, eastern region and urban agglomeration were more sufficient for the release of dividend and spillover spread of digital economy development. Technological innovation and industrial structure optimization were identified as crucial paths for transmission mechanism through which digital economy promote the construction of new urbanization. Therefore, to achieve regional coordination and common prosperity and further enhance spillover effects, efforts be made to integrate the digital economy with new urbanization, especially in central and western regions and non-central cities.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
9.80
自引率
9.20%
发文量
231
审稿时长
93 days
期刊介绍: Economic Analysis and Policy (established 1970) publishes articles from all branches of economics with a particular focus on research, theoretical and applied, which has strong policy relevance. The journal also publishes survey articles and empirical replications on key policy issues. Authors are expected to highlight the main insights in a non-technical introduction and in the conclusion.
期刊最新文献
Innovative incentive effects of domestic market integration: Evidence from the Yangtze River Delta region of China Green manufacturing pioneers: Unveiling the carbon dioxide reduction effect of China's green factories The dynamic influence of green technology and environmental taxes on consumption-based carbon emissions in Brazil Does rural Households’ financial literacy affect the household portfolio choices in poverty alleviation areas? Does institutional investors’ environmental attention influence corporate environmental investment?
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1