Energy Centre, Department of Economics, Business School, The University of Auckland, Auckland, New Zealand.
J Environ Manage. 2024 Nov;370:122679. doi: 10.1016/j.jenvman.2024.122679. Epub 2024 Oct 2.
The environmental impacts of artificial intelligence on a global scale remain underexplored. This study utilizes a balanced panel dataset to examine artificial intelligence's complex role in enhancing global green productivity between 2008 and 2019. The findings indicate that artificial intelligence robustly boosts green productivity, even after correcting for potential endogeneity using the legal system's origin as an instrument. A detailed mediation analysis underscores that artificial intelligence indirectly promotes green productivity by increasing renewable energy use, attracting skilled labor, and dampening stock market performance. Additional analysis confirms that financial development generally amplifies artificial intelligence's favorable effects on green productivity. However, the combined impact of financial institution access and artificial intelligence on green productivity initially appears hostile, an effect that can be reversed when financial access exceeds a certain threshold. These results offer valuable insights into the interconnection between artificial intelligence and the global shift towards greener practices.
人工智能对全球的环境影响仍未得到充分探究。本研究利用平衡面板数据集,考察了人工智能在 2008 年至 2019 年间对提升全球绿色生产力的复杂作用。研究结果表明,即使使用法律体系起源作为工具校正潜在的内生性后,人工智能仍能显著提升绿色生产力。详细的中介分析强调,人工智能通过增加可再生能源利用、吸引熟练劳动力和抑制股票市场表现,间接地促进绿色生产力。进一步的分析证实,金融发展通常会放大人工智能对绿色生产力的有利影响。然而,金融机构准入和人工智能对绿色生产力的综合影响最初似乎是敌对的,当金融准入超过一定门槛时,这种影响可以逆转。这些结果为人工智能与全球向更绿色实践转变之间的相互关系提供了有价值的见解。