在受监管会计报告中使用AI追踪气候解决方案的商业机会
Shirley Lu1, George Serafeim2, Simon Xu2
1Harvard Business School, Harvard University, Boston, MA, USA. slu@hbs.edu.
Nature communications
|November 5, 2025
概括
这项研究引入了使用人工智能识别公司开发气候解决方案的新指标. 它揭示了低碳经济中不断增长的商业机会,与收入增长和创新有关.
科学领域:
- 商业和经济学 商业和经济学
- 环境科学 环境科学
- 人工智能的人工智能
背景情况:
- 过渡到低碳经济带来了重要的商业机会,但研究往往强调风险.
- 识别积极为气候解决方案做出贡献的公司对于理解经济转变至关重要.
研究的目的:
- 开发和验证用于识别使用人工智能推进气候解决方案的公司的指标.
- 分析与气候解决方案相关的商业机会,政治分歧和行业融合.
主要方法:
- 应用了大型语言模型来分析来自4,483家美国公司的39,710份10-K文件 (2005-2022年).
- 开发了一个指标来量化企业对气候解决方案的参与.
- 根据政策冲击 (通货膨胀减缓法案) 和绿色收入指标验证了指标.
主要成果:
- 观察到对气候解决方案的重视越来越大,从事这些领域的公司显示出更高的收入增长.
- 发现了温和的政治分歧,共和党倾向的州的公司的参与度较低,特别是在高成本技术方面.
- 产业围绕共享技术的趋同得到了增加的股票回报同步性.
结论:
- 基于人工智能的监管文件分析可以有效地揭示与气候有关的商业机会.
- 专注于气候解决方案的公司表现出强大的增长潜力,受特定部门因素和政策的影响.
- 了解行业的融合是导航不断发展的低碳经济的关键.
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