首页|人工智能对碳排放的影响——基于中介效应与门槛效应实证分析

人工智能对碳排放的影响——基于中介效应与门槛效应实证分析

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基于 2010-2021 年中国 30 个省区市的面板数据,运用固定效应模型、中介效应模型和门槛效应模型,分析人工智能对碳排放的影响.结果表明:人工智能与碳排放呈显著"倒U型"关系;产业结构升级和科技创新在人工智能对碳排放的影响中起中介作用;人工智能对碳排放的影响作用是非线性的.因此,在制定减排政策时应充分考虑区域差异,通过优化产业结构、提升科技创新能力和推广人工智能技术的合理应用,提出有针对性的政策建议,以实现区域碳排放的差异化管理和绿色转型.
The Impact of Artificial Intelligence on Carbon Emissions-Empirical Analysis Based on Mediation and Threshold Effects
Based on the panel data of 30 provinces,municipalities and autonomous regions in China(excluding Xizang,Hong Kong,Macao and Taiwan)from 2010 to 2021,this paper analyzes the impact of artificial intelligence(AI)on carbon emissions by using the fixed effect model,mediation model and threshold effect model.The results indicate that there is a significant inverted U-shaped rela-tionship between AI and carbon emissions;the upgrading of industrial structure and technological innovation play a mediating role in the impact of AI on carbon emissions;the impact of AI on carbon emissions is non-linear.Therefore,when formulating emission reduc-tion policies,regional differences should be fully considered.By optimizing industrial structure,enhancing technological innovation ca-pabilities,and promoting the rational application of artificial intelligence technology,targeted policy recommendations should be pro-posed to achieve differentiated management of regional carbon emissions and green transformation.

artificial intelligencecarbon emission"inverted U-shaped"relationshipemission reduction effect

郭海明、徐江林

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兰州财经大学统计与数据科学学院,兰州 730000

人工智能 碳排放 "倒U型"关系 减排效应

2024

科技与经济
南京市科技信息研究所

科技与经济

影响因子:0.528
ISSN:1003-7691
年,卷(期):2024.37(6)