摘要
在全球气候变化治理的背景下,探讨人工智能在提升供应链效率和实现碳减排中的作用至关重要。基于对2010—2022年中国A股上市公司数据的分析,深入研究了人工智能水平对企业碳排放的影响及其作用机制。研究结果揭示,人工智能显著抑制碳排放,尤其在东部地区、技术密集型企业、国有企业及低技术与低污染企业中表现尤为明显。在这一过程中,供应链效率充当了人工智能对企业碳排放影响的关键中介角色。进一步研究显示,加快企业的绿色化转型及增强政府环境规制的力度,能够显著强化人工智能在碳排放抑制中的作用。本研究的评估明确了人工智能与企业碳排放之间的逻辑关联和影响机制,为政策制定提供了重要的理论支持和实证依据;同时,为全球应对气候变化提出了技术、经济与规制多元协同的治理框架。
In the context of global climate change governance,it is crucial to explore the role of artificial intelligence in improving supply chain efficiency and achieving carbon emission reduction.Based on the analysis of the data from China’s A-share listed companies from 2010 to 2022,this paper delves into the impact of artificial intelligence on corporate carbon emissions and the underlying mechanisms.The findings reveal that AI significantly reduces carbon emissions,especially among enterprises in the eastern region,technology-intensive enterprises,state-owned enterprises,and low-technology and low-pollution enterprises.In this process,supply chain efficiency acts as a key mediator of the impact of AI on carbon emissions.Further research shows that accelerating the green transformation of enterprises and strengthening government environmental regulation can significantly enhance the role of AI in curbing carbon emissions.The study clarifies the logical connection and impact mechanism between AI and corporate carbon emissions,which provides important theoretical support and empirical evidence for policy formulation;meanwhile,it proposes a governance framework with multiple synergies of technology,economy and regulation for the global response to climate change.
作者
王亚飞
刘峻楠
刘政谊
WANG Yafei;LIU Junnan;LIU Zhengyi(School of Economics and Management,Chongqing Normal University,Chongqing 401331,China)
出处
《安徽师范大学学报(社会科学版)》
2025年第6期112-132,共21页
Journal of Anhui Normal University(Soc.Sci.)
基金
教育部人文社科青年项目“基于宏观政策取向一致性的制造业新质生产力提升路径研究”(24YJC790245)。
关键词
人工智能
供应链效率
企业碳排放
绿色化转型
政府环境规制
artificial intelligence
supply chain efficiency
corporate carbon emissions
green transformation
government environmental regulation
