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把自己的麻烦转移到别人身上:气候政策的不确定性是否在人工智能背景下促进企业的"污染迁移"?
1School of Management, Zhejiang University of Finance & Economics, Hangzhou, China.
Frontiers in public health
|September 26, 2025
概括
气候政策的不确定性 (CPU) 通过增加融资限制,加剧了企业的污染迁移. 更高的人工智能采用削弱了这一效应,而高污染企业和非国有企业受到的影响更大.
科学领域:
- 环境经济学环境经济学
- 企业社会责任 企业社会责任
- 气候政策分析 气候政策分析
背景情况:
- 全球气候变化需要企业减少污染和承担社会责任.
- 由于区域差异的气候政策不确定性 (CPU) 阻碍了有效实施.
- CPU对企业污染行为的影响是一个未被充分探索的研究缺口.
研究的目的:
- 实证地研究CPU对企业污染迁移行为的影响.
- 测试融资约束在CPU-污染迁移关系中的调解作用.
- 研究基于人工智能采用,污染强度和所有权类型的CPU异质效应.
主要方法:
- 在2010年至2022年期间,对中国3702家上市企业的分析.
- 对气候政策不确定性对污染迁移的影响进行计量经济学研究.
- 调解和异质性分析,以探索潜在的机制和差异性影响.
主要成果:
- CPU显著增加了企业的污染迁移.
- 融资限制调解了CPU和污染迁移之间的关系.
- 更高的人工智能采用减轻了CPU的影响;高度污染和非国有企业受到的影响更大.
结论:
- 在气候政策的背景下,CPU验证了"污染避风港"假设.
- 建议包括稳定气候政策,加强绿色金融和促进人工智能采用.
- 企业应该监测政策趋势,并提高人工智能能力,以实现可持续发展.
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