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The Green Effect of Digital Intelligence in Chinese Cities: An Empirical Investigation Based on Big Data and Machine Learning Methods

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成果类型:
期刊论文
作者:
Gao, Chao;Fang, Jiayu
通讯作者:
Fang, JY
作者机构:
[Gao, Chao] Changsha Univ Sci & Technol, Sch Econ & Management, Changsha 410076, Peoples R China.
[Fang, Jiayu] Hunan Univ, Sch Econ & Trade, Changsha 410079, Peoples R China.
通讯机构:
[Fang, JY ] H
Hunan Univ, Sch Econ & Trade, Changsha 410079, Peoples R China.
语种:
英文
关键词:
digital intelligence;regional green development;green technological innovation;industrial structure advancement;environmental protection effect
期刊:
Sustainability
ISSN:
2071-1050
年:
2025
卷:
17
期:
15
基金类别:
General Program of Hunan Provincial Social Science Achievement Review Committee; [XSP24YBC440]
机构署名:
本校为第一机构
院系归属:
经济与管理学院
摘要:
In the digital economy era, digitalization and intelligent technologies have profoundly influenced regional green development. This study uses data from 277 prefecture-level and above cities in China spanning the years 2011 to 2022 and employs a two-way fixed effects model along with machine learning techniques to explore the effect of digital intelligence on regional green development. We find that digital intelligence primarily drives regional green development. Positive impacts show a steady upward trend from 2011 to 2022 and predominate in eastern regions, large cities, and non-resource-de...

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