University of Ain Temouchent, Algeria; Université de Lorraine, CEREFIGE, F-57000, Metz, France.
Université de Lorraine, CEREFIGE, F-57000, Metz, France.
J Environ Manage. 2024 May;359:120977. doi: 10.1016/j.jenvman.2024.120977. Epub 2024 Apr 27.
This study explores the intricate connections among financial technology (FinTech), artificial intelligence (AI), and eco-friendly markets in the US, shedding light on their dynamic interplay and implications for sustainable investment and policy strategies. Specifically, our research delves into the transformative roles of FinTech and AI in broadening financial access, fostering green financing initiatives, and aligning financial practices with environmentally conscious objectives. We also investigate market reactions among the AI, FinTech, non-greenwashing, and eco-friendly markets during exogenous shocks, offering valuable insights into these markets' interconnectedness. An innovative connectedness approach, the R decomposed measures, is employed to capture the contemporaneous and lagged spillover effects using daily data from December 19, 2017, to November 1, 2023. We also focus on constructing a minimum connectedness portfolio using the time-varying parameter vector autoregressive approach. The findings reveal significant volatility connectivity within these intergroups, emphasizing the need for sustainable tech finance policies and real-time monitoring systems to address market fluctuations. Overall, this study contributes to an underexplored area by providing empirical evidence and valuable implications for scholars and policymakers, and can help in guiding sustainable investment and policy strategies aligned with zero-emissions agendas.
本研究探讨了美国金融科技(FinTech)、人工智能(AI)和环保市场之间错综复杂的联系,揭示了它们之间的动态相互作用及其对可持续投资和政策策略的影响。具体来说,我们的研究深入探讨了 FinTech 和 AI 在扩大金融服务范围、促进绿色融资举措以及使金融实践与环保目标保持一致方面的变革作用。我们还研究了 AI、FinTech、非漂绿和环保市场在外部冲击下的市场反应,为这些市场的互联性提供了有价值的见解。我们采用了一种创新的关联方法——R 分解测度,使用 2017 年 12 月 19 日至 2023 年 11 月 1 日的每日数据,捕捉同期和滞后的溢出效应。我们还专注于使用时变参数向量自回归方法构建最小关联投资组合。研究结果显示,这些子组内部存在显著的波动关联性,强调需要制定可持续的科技金融政策和实时监测系统,以应对市场波动。总的来说,本研究通过提供实证证据和对学者和政策制定者的有价值启示,为一个研究不足的领域做出了贡献,并有助于指导与零排放议程一致的可持续投资和政策策略。