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可再生能源、经济自由与经济政策不确定性:来自七国集团和金砖国家动态面板门槛分析的新证据

Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries.

作者信息

Işık Cem, Simionescu Mihaela, Ongan Serdar, Radulescu Magdalena, Yousaf Zahid, Rehman Abdul, Alvarado Rafael, Ahmad Munir

机构信息

Faculty of Tourism, Anadolu University, Eskişehir, Turkey.

University of Bucharest, Faculty of Business Administration, Bucharest, Romania.

出版信息

Stoch Environ Res Risk Assess. 2023 May 11:1-16. doi: 10.1007/s00477-023-02452-x.

Abstract

This study aims to demonstrate the impact of renewable energy consumption (REC) on environmental degradation using the EKC hypothesis testing for the BRIC and G-7 countries. Two EKC models were created and tested, with Model 2 including REC and other independent variables such as economic freedom (EF) and economic policy uncertainty (EPU), which affect the level of renewable energy consumption and CO emissions. Empirical findings indicate that the EKC hypothesis is verified faster in the REC-EF-EPU-based EKC model (Model 2) than in the EF-EPU-based EKC model (Model 1) for G-7 countries since the turning point takes place earlier in Model 2 than in Model 1 with REC. This suggests that renewable energy consumption accelerates the reduction of CO emissions. Moreover, this earlier turning point results in lower environmental cleaning costs, less time vesting, and saving resources and money for G-7 countries. However, the study found no evidence supporting the EKC hypothesis for the BRIC countries.

摘要

本研究旨在通过对金砖国家和七国集团国家进行环境库兹涅茨曲线(EKC)假设检验,来证明可再生能源消费(REC)对环境退化的影响。创建并测试了两个EKC模型,模型2包括可再生能源消费以及其他自变量,如经济自由度(EF)和经济政策不确定性(EPU),这些因素会影响可再生能源消费水平和二氧化碳排放。实证结果表明,对于七国集团国家,基于可再生能源消费-经济自由度-经济政策不确定性的EKC模型(模型2)比基于经济自由度-经济政策不确定性的EKC模型(模型1)能更快验证EKC假设,因为在模型2中转折点比包含可再生能源消费的模型1出现得更早。这表明可再生能源消费加速了二氧化碳排放的减少。此外,这个更早出现的转折点为七国集团国家带来了更低的环境清洁成本、更短的时间投入,并节省了资源和资金。然而,该研究没有发现支持金砖国家EKC假设的证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da56/10174606/219b4ae49b94/477_2023_2452_Fig1_HTML.jpg

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