人工智能
大数据
绿色发展
钥匙(锁)
计算机科学
工程类
可持续发展
业务
环境经济学
首都(建筑)
绿色计算
可再生能源
组分(热力学)
人力资本
特征(语言学)
人工智能应用
绿色革命
开发(拓扑)
转化(遗传学)
环境资源管理
区域科学
面板数据
数据科学
互联网
作者
Ping Han,Zhengna Sun,Jiayi Luo,Yanfang Cheng
标识
DOI:10.1145/3768184.3768286
摘要
The rapid development of artificial intelligence has become a powerful engine to drive the green transformation of the economy. This study utilizes panel data from 30 Chinese provinces (including autonomous regions and municipalities directly under the central government) from 2015 to 2022 to examine the impact of AI on high-quality green development by measuring the level of AI and high-quality green development. The findings indicate that AI significantly promotes high-quality green development, with key mechanisms including the reduction of carbon dioxide emissions and the mitigation of capital mismatch. Furthermore, the impact of AI on high-quality green development varies across regions with different geographic locations and levels of Internet penetration. This research provides analytical insights for evaluating the effects of AI, as well as policy recommendations for advancing high-quality green development.
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