Does smart city construction promote urban green development? Evidence from a double machine learning model.

IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Journal of Environmental Management Pub Date : 2025-01-01 Epub Date: 2024-12-17 DOI:10.1016/j.jenvman.2024.123701
Yuchen Jiang, Jiasen Sun
{"title":"Does smart city construction promote urban green development? Evidence from a double machine learning model.","authors":"Yuchen Jiang, Jiasen Sun","doi":"10.1016/j.jenvman.2024.123701","DOIUrl":null,"url":null,"abstract":"<p><p>The issue of whether smart city construction (SCC) can promote urban green development (UGD) is controversial. To address this problem, first, a UGD evaluation index system with four dimensions, namely, green production, green living, green growth, and green ecology, is developed in this study to measure the UGD level. Second, the causal relationship between SCC and UGD is examined by using a double machine learning model. Last, the influence mechanism of SCC on UGD is investigated in terms of industrial upgrading, resource allocation, information support, and technological innovation. Panel data from 282 Chinese prefecture-level cities from 2011 to 2021 are used in this study, and several valuable conclusions are drawn. First, the UGD level of the Chinese cities shows an upward trend. Second, SCC can substantially promote UGD and has a positive effect on the green production, green living, and green growth of the Chinese cities. Third, SCC can promote the UGD of the Chinese cities through industrial upgrading, resource allocation, information support, and technological innovation. Last, the effect of SCC on UGD in the Chinese cities displays regional heterogeneity.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"373 ","pages":"123701"},"PeriodicalIF":8.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Management","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.jenvman.2024.123701","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/17 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

The issue of whether smart city construction (SCC) can promote urban green development (UGD) is controversial. To address this problem, first, a UGD evaluation index system with four dimensions, namely, green production, green living, green growth, and green ecology, is developed in this study to measure the UGD level. Second, the causal relationship between SCC and UGD is examined by using a double machine learning model. Last, the influence mechanism of SCC on UGD is investigated in terms of industrial upgrading, resource allocation, information support, and technological innovation. Panel data from 282 Chinese prefecture-level cities from 2011 to 2021 are used in this study, and several valuable conclusions are drawn. First, the UGD level of the Chinese cities shows an upward trend. Second, SCC can substantially promote UGD and has a positive effect on the green production, green living, and green growth of the Chinese cities. Third, SCC can promote the UGD of the Chinese cities through industrial upgrading, resource allocation, information support, and technological innovation. Last, the effect of SCC on UGD in the Chinese cities displays regional heterogeneity.

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
智慧城市建设促进城市绿色发展吗?来自双重机器学习模型的证据。
智慧城市建设(SCC)能否促进城市绿色发展(UGD)是一个有争议的问题。针对这一问题,本研究首先构建了绿色生产、绿色生活、绿色生长、绿色生态四个维度的UGD评价指标体系来衡量UGD水平。其次,通过使用双机器学习模型检查SCC和UGD之间的因果关系。最后,从产业升级、资源配置、信息支持和技术创新四个方面分析了供应链成本对企业自主创新的影响机制。本研究使用了2011 - 2021年中国282个地级市的面板数据,并得出了一些有价值的结论。第一,中国城市UGD水平呈上升趋势。第二,SCC可以实质性地促进UGD,对中国城市的绿色生产、绿色生活和绿色增长具有积极作用。第三,企业价值链可以通过产业升级、资源配置、信息支撑和技术创新促进中国城市的UGD。最后,SCC对中国城市UGD的影响呈现区域异质性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Environmental Management
Journal of Environmental Management 环境科学-环境科学
CiteScore
13.70
自引率
5.70%
发文量
2477
审稿时长
84 days
期刊介绍: The Journal of Environmental Management is a journal for the publication of peer reviewed, original research for all aspects of management and the managed use of the environment, both natural and man-made.Critical review articles are also welcome; submission of these is strongly encouraged.
期刊最新文献
Seaweed feed enhance the long-term recovery of bacterial community and carbon-nitrogen sequestration in eutrophic coastal wetland Microbial Fe(III) reduction across a pH gradient: The impacts on secondary mineralization and microbial community development Enhancing textile wastewater reuse: Integrating Fenton oxidation with membrane filtration The impact of noise on green open space value Flood resilience through hybrid deep learning: Advanced forecasting for Taipei's urban drainage system
×
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