气候政策不确定性与绿色全要素能源效率：绿色金融重要吗？

IF 7.5 1区经济学 Q1 BUSINESS, FINANCE

International Review of Financial Analysis Pub Date : 2025-04-27 DOI:10.1016/j.irfa.2025.104293

Jie Han , Wei Zhang , Xuemeng Liu , Anas Muhammad , Zhenjie Li , Cem Işık

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引用次数: 0

摘要

本研究探讨了气候政策不确定性对绿色全要素能源效率的影响，并考察了绿色金融的调节作用。采用面板数据分析框架结合超高效SBM-DEA模型，研究发现CPU对GTFEE具有显著的负向影响，表明政策不确定性的增加阻碍了城市能效的提高。同时，GF在缓解CPU的负面影响方面发挥着重要的调节作用，特别是在政策不确定性较高的环境中，GF可以有效地提高能效。此外，研究发现人工智能产业的发展显著调节了GF与GTFEE之间的关系。在拥有更先进人工智能技术的城市，人工智能有助于提高能源效率。总体而言，研究结果为在不确定的政策环境下如何通过绿色金融提高能源效率提供了重要的政策建议，具有广泛的适用性，特别是在推进低碳经济方面。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Climate policy uncertainty and green total factor energy efficiency: Does the green finance matter?

This study investigates the impact of climate policy uncertainty (CPU) on green total factor energy efficiency (GTFEE) and examines the moderating role of green finance (GF). Using a panel data analysis framework combined with the super-efficient SBM-DEA model, the study finds that CPU has a significant negative effect on GTFEE, indicating that increased policy uncertainty hinders the improvement of urban energy efficiency. At the same time, GF plays an important moderating role in alleviating the negative impacts of CPU, particularly in environments with higher policy uncertainty, where GF can effectively promote energy efficiency. Additionally, the study discovers that the development of artificial intelligence (AI) industries significantly moderates the relationship between GF and GTFEE. In cities with more advanced AI technologies, AI helps boost energy efficiency. Overall, the findings offer important policy recommendations on how to improve energy efficiency through green finance in uncertain policy environments, with broad applicability, especially in advancing low-carbon economies.

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来源期刊

International Review of Financial Analysis BUSINESS, FINANCE-

CiteScore

10.30

自引率

9.80%

发文量

366

期刊介绍： The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.