School of Economics and Management, China University of Petroleum (East China), Qingdao, 266580, People's Republic of China.
School of Economics and Management, Xinjiang University, Wulumuqi, 830046, People's Republic of China.
Environ Sci Pollut Res Int. 2023 Dec;30(59):123948-123965. doi: 10.1007/s11356-023-31076-5. Epub 2023 Nov 23.
This article explores the impact of artificial intelligence (AI) on global ecological footprints, which has important implications for global sustainability in the digital age. Using the comprehensive evaluation index of AI constructed by the entropy method and the dataset at the global national level, we find that from 2010 to 2019, the overall level of global AI shows an upward trend, in which the growth rate of AI in developed countries is more pronounced and exhibits a stable growth trend, while the growth rate of AI in developing countries displays a trend of instability. The research results show that AI has a significant inhibitory effect on ecological footprints. This conclusion holds even after endogeneity and robustness tests. In addition, under the effect of globalization, the impact of AI on ecological footprints shows nonlinear characteristics. As globalization deepens, the marginal effect of AI in reducing the ecological footprint shows an increasing trend. These findings emphasize the important role of AI in environmental governance and provide a new and comprehensive perspective for policymakers. Therefore, the government should continue to support the research and application of AI, promote the cross-industry integration of AI, and play a positive role in the process of globalization to promote global sustainable development.
本文探讨了人工智能（AI）对全球生态足迹的影响，这对数字时代的全球可持续性具有重要意义。我们使用熵值法构建的 AI 综合评价指标和全球国家层面的数据集，发现从 2010 年到 2019 年，全球 AI 的整体水平呈上升趋势，其中发达国家的 AI 增长率更为明显，并呈现出稳定增长的趋势，而发展中国家的 AI 增长率则呈现出不稳定的趋势。研究结果表明，人工智能对生态足迹有显著的抑制作用。即使在进行了内生性和稳健性检验后，这一结论仍然成立。此外，在全球化的影响下，人工智能对生态足迹的影响呈现出非线性特征。随着全球化的加深，人工智能在减少生态足迹方面的边际效应呈现出递增趋势。这些发现强调了人工智能在环境治理中的重要作用，为政策制定者提供了一个新的、全面的视角。因此，政府应继续支持人工智能的研究和应用，促进人工智能的跨行业融合，并在全球化进程中发挥积极作用，以促进全球可持续发展。
