通过人力资本和可再生能源利用人工智能来实现环境可持续发展
Zeeshan Khan1, Numan Khan2,3, Xufeng Zhu4
1School of Public Policy and Management, Tsinghua University, Beijing, China.
Scientific reports
|October 21, 2025
概括
人工智能 (AI) 显著减少碳排放,特别是在高排放经济体. 投资人工智能,清洁能源和人力资本对于环境可持续性至关重要.
科学领域:
- 环境科学 环境科学
- 经济学 经济学 经济学
- 计算机科学 计算机科学
背景情况:
- 人工智能 (AI) 对环境可持续性和整体可持续发展越来越重要.
- 了解人工智能对碳排放的确切影响对于制定政策至关重要.
研究的目的:
- 从2010年到2020年,调查人工智能对21个小组国家的碳排放的影响.
- 分析人工智能,收入,人力资本和能源在缓解二氧化碳排放中的作用.
主要方法:
- 雇佣了第二代面板数据经济度测试和非参数面板数据测试.
- 对21个小组国家的2010年至2020年的数据进行了分析.
- 利用量子回归来评估AI在不同排放水平上的影响.
主要成果:
- 人工智能对二氧化碳排放产生了显著的负面影响,特别是在高碳经济体.
- 人工智能采用的1%的增长会导致二氧化碳排放的减少,从0.009%到0.18%的二氧化碳排放量.
- 证实了环境库兹涅茨曲线 (EKC) 假设;收入最初增加了排放,然后减少了它们.
- 人力资本,清洁能源和可再生能源对碳排放产生负面影响.
- 人工智能和清洁能源发电的联合效应进一步减少了碳排放.
结论:
- 人工智能是通过减少碳排放来实现环境可持续性的关键工具.
- 政策建议包括增加对人工智能,清洁/可再生能源和人力资本的投资.
- 人工智能和清洁能源的协同效应为减少排放提供了一个有希望的途径.
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