期刊论文详细信息
Frontiers in Energy Research
Revealing the role of renewable energy consumption and digitalization in energy-related greenhouse gas emissions—Evidence from the G7
Energy Research
Liuyue Zhang1  Zhi Li1  Yuze Chen1  Ying Chen2 
[1] Business School, Sichuan University, Chengdu, China;null;
关键词: greenhouse gas emissions;    renewable energy;    digitalization;    energy efficiency;    economic growth;   
DOI  :  10.3389/fenrg.2023.1197030
 received in 2023-03-30, accepted in 2023-07-06,  发布年份 2023
来源: Frontiers
PDF
【 摘 要 】

The massive consumption of energy promotes rapid economic growth, but it also unavoidably results in a large amount of greenhouse gas emissions, which seriously hinders society’s green and low-carbon development. This paper aims to explore the real impact of renewable energy and digitalization on greenhouse gas emissions from an energy-related perspective using advanced panel econometrics methods based on G7 panel data for 1990–2020. Economic growth and energy efficiency are also considered as control variables. Due to the nonlinear properties of panel data, the moment quantile regression approach is utilized in this research. The findings show that slope heterogeneity is widespread, section-dependent, and has a long-term equilibrium relationship. In addition, digitalization, renewable energy, and energy efficiency can reduce energy-related greenhouse gas emissions and ease environmental pressures. Economic expansion, on the other hand, remains an important positive driver for energy-related greenhouse gas emissions. The results of this study are robust and the causal relationships between variables are tested. Based on the conclusion presented above, this study advises the G7 economies to expand investments in renewable energy and digitalization to promote energy system transformation and pave the road for global decarbonization objectives to be met.

【 授权许可】

Unknown   
Copyright © 2023 Chen, Chen, Zhang and Li.

【 预 览 】
附件列表
Files Size Format View
RO202310101506839ZK.pdf 11617KB PDF download
  文献评价指标  
  下载次数:4次 浏览次数:6次