我校伟德bv国际体育张伟老师在T2级别期刊——《International Review of Financial Analysis》上发表题为“Climate policy uncertainty and green total factor energy efficiency: Does the green finance matter?”。论文作者张伟为伟德bv国际体育教授、博士生导师。

Abstract / 摘要：

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.

论文信息;

Title/题目:

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

Authors/作者:

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

Keyword / 关键词

Climate policy uncertainty;Green finance;Artificial intelligence industry;Green total factor energy efficiency

Indexed by / 核心评价

Scopus;SSCI;WAJCI

DOI： 10.1016/J.IRFA.2025.104293

全文链接：

https://libproxy.cug.edu.cn/https/443/com/sciencedirect/www/yitlink/science/article/pii/S1057521925003801?via%3Dihub