还原(数学)
碳纤维
面板数据
温室气体
维数(图论)
可持续发展
降维
环境经济学
溢出效应
实证研究
产业组织
计算机科学
环境科学
业务
经济
计量经济学
人工智能
数学
微观经济学
复合数
法学
纯数学
统计
生物
生态学
政治学
算法
几何学
作者
Hanqing Xu,Zhengxu Cao,Dongqing Han
出处
期刊:Sustainability
[Multidisciplinary Digital Publishing Institute]
日期:2025-01-06
卷期号:17 (1): 370-370
被引量:4
摘要
The realization of intelligent transformation is an important path for the industry to move towards low-carbon development. Based on panel data from 30 provinces in China, this study utilizes the intermediate effect model and spatial econometric model to analyze the influence of industrial intelligence on carbon emissions. The research reveals that industrial intelligence helps with carbon reduction, and the result is still valid after undergoing various tests. Industrial intelligence relies on green technological innovation, industrial structure upgrading, and energy intensity to realize carbon reduction. There is a spatial spillover role of industrial intelligence on carbon emissions, which has a positive influence on carbon reduction in local and adjoining regions. The influence of industrial intelligence on carbon emissions exhibits heterogeneity in the regional dimension, time dimension, and industrial intelligence level dimension. The research provides empirical evidence and implications for using artificial intelligence to achieve carbon reduction.
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