以人工智能增强绿色经济：美国能源使用与外商直接投资的作用
Enhancing Green Economy with Artificial Intelligence: Role of Energy Use and FDI in the United States
AI总结：
本研究基于1990-2022年美国数据，运用ARDL-STIRPAT模型发现AI创新可减少碳排放，而经济增长、能源使用、FDI和城市化加剧排放，并提出绿色政策建议。
摘要：
气候变化的严峻挑战迫切需要探索影响碳排放的因素。本研究通过考察技术、经济和人口因素对环境可持续性的相互作用，为相关讨论做出贡献。本研究调查了1990年至2022年间人工智能（AI）创新、经济增长、外商直接投资（FDI）、能源消耗和城市化对美国二氧化碳（CO2）排放的影响。采用结合STIRPAT模型的ARDL框架，研究结果揭示了一个双重叙事：虽然人工智能创新减轻了环境压力，但经济增长、能源使用、外商直接投资和城市化加剧了环境退化。单位根检验（ADF、PP和DF-GLS）确认了变量间混合的整合水平，ARDL边界检验确立了长期协整关系。分析强调，在环境保障措施到位的情况下，人工智能创新与二氧化碳减排呈正相关，而GDP增长、能源消耗、外商直接投资和城市化则加剧了二氧化碳排放。使用FMOLS、DOLS和CCR进行的稳健性检验验证了ARDL的发现。此外，成对格兰杰因果检验揭示了二氧化碳排放与经济增长、人工智能创新、能源使用、外商直接投资和城市化之间显著的单向因果关系。这些关系强调了人工智能驱动的技术进步、可持续投资和绿色能源在促进生态可持续性中的关键作用。该研究提出了诸如鼓励绿色外商直接投资、推进人工智能技术、采用可持续能源实践以及实施生态友好型城市发展等政策措施，以促进美国的可持续增长。
英文摘要：
The escalating challenge of climate change necessitates an urgent exploration of factors influencing carbon emissions. This study contributes to the discourse by examining the interplay of technological, economic, and demographic factors on environmental sustainability. This study investigates the impact of artificial intelligence (AI) innovation, economic growth, foreign direct investment (FDI), energy consumption, and urbanization on CO2 emissions in the United States from 1990 to 2022. Employing the ARDL framework integrated with the STIRPAT model, the findings reveal a dual narrative: while AI innovation mitigates environmental stress, economic growth, energy use, FDI, and urbanization exacerbate environmental degradation. Unit root tests (ADF, PP, and DF-GLS) confirm mixed integration levels among variables, and the ARDL bounds test establishes long-term co-integration. The analysis highlights that AI innovation positively correlates with CO2 reduction when environmental safeguards are in place, whereas GDP growth, energy consumption, FDI, and urbanization intensify CO2 emissions. Robustness checks using FMOLS, DOLS, and CCR validate the ARDL findings. Additionally, Pairwise Granger causality tests reveal significant one-way causal links between CO2 emissions and economic growth, AI innovation, energy use, FDI, and urbanization. These relationships emphasize the critical role of AI-driven technological advancements, sustainable investments, and green energy in fostering ecological sustainability. The study suggests policy measures such as encouraging green FDI, advancing AI technologies, adopting sustainable energy practices, and implementing eco-friendly urban development to promote sustainable growth in the USA.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
