解码人工智能碳减排代码:从产业链溢出影响的角度来看,改善企业碳绩效
Zhe Wang1, Tianyuan Feng2, Yaning Zhang2
1School of Economics and Management, Shihezi University, Shihezi, 832000, China.
Journal of environmental management
|July 21, 2025
概括
人工智能 (AI) 的采用显著改善了中国的企业碳绩效 (CCP). 这种效应在非国有企业中更为强烈,财务限制较小,资本密集型,不污染的企业,以效率和绿色研发为驱动.
科学领域:
- 环境科学 环境科学
- 经济学 经济学 经济学
- 技术管理 技术管理
背景情况:
- 中国面临着双重的气候目标:碳排放达到峰值和碳中和.
- 人工智能 (AI) 越来越被认为是实现这些目标的工具.
- 了解人工智能对企业环境绩效的影响至关重要.
研究的目的:
- 调查人工智能采用影响企业碳效率 (CCP) 的机制.
- 识别特定的公司特征,调节AI-CCP关系.
- 探索人工智能在改善整个产业链的碳性能方面的作用.
主要方法:
- 对2007-2021年中国上市公司的小组数据分析.
- 计量经济学建模,以评估人工智能采用对CCP的影响.
- 机制分析和产业链视角分析.
主要成果:
- 人工智能的采用显著增强了CPT.
- 对于非国有企业,资金限制较小的企业,资本密集型企业和非污染行业的企业来说,这种积极影响更为明显.
- 关键机制包括提高生产效率,改善供需匹配,以及绿色技术研发,在整个产业链中产生积极的溢出效应.
结论:
- 人工智能是提高中国企业碳绩效的重要技术.
- 有针对性的政策可以提高人工智能的有效性,特别是在特定类型的企业中.
- 利用人工智能及其对整个行业的溢出效应对于中国的气候目标至关重要.
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