Scholarlink

<p>Innovation in renewable energy technologies (IRET) is key to improving energy systems’ stability and sustainability. However, existing research has largely overlooked how IRET affects the vulnerability of energy systems. This study investigates how IRET affects energy vulnerability, including its spatial effects and nonlinear characteristics, using spatial econometric models and panel quantile regression with a case study of China from 2000 to 2022. The results show that IRET significantly reduces energy vulnerability, with negative spillovers limited to 800&#xa0;km geographically and 14,000 RMB economically. Moreover, green finance acts as a mediator, while transportation infrastructure positively moderates the effect of IRET on energy vulnerability. Further analysis reveals that IRET reduces energy vulnerability more effectively in high-vulnerability areas, following a marginal diminishing law. This effect is primarily achieved by reducing the system’s sensitivity. This study broadens the theoretical perspective on the relationship between IRET and energy vulnerability. It emphasizes the importance of spatial spillover effects and nonlinear analysis. Additionally, it offers valuable insights for emerging economies in formulating differentiated technology innovation policies.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Powering resilience: the transformative impact of renewable energy innovation on energy vulnerability

  • 期刊论文

  • 发表日期：

    2026年3月21日

查看全文
  • Li Liu,
  • Jichuan Sheng

摘要

Innovation in renewable energy technologies (IRET) is key to improving energy systems’ stability and sustainability. However, existing research has largely overlooked how IRET affects the vulnerability of energy systems. This study investigates how IRET affects energy vulnerability, including its spatial effects and nonlinear characteristics, using spatial econometric models and panel quantile regression with a case study of China from 2000 to 2022. The results show that IRET significantly reduces energy vulnerability, with negative spillovers limited to 800 km geographically and 14,000 RMB economically. Moreover, green finance acts as a mediator, while transportation infrastructure positively moderates the effect of IRET on energy vulnerability. Further analysis reveals that IRET reduces energy vulnerability more effectively in high-vulnerability areas, following a marginal diminishing law. This effect is primarily achieved by reducing the system’s sensitivity. This study broadens the theoretical perspective on the relationship between IRET and energy vulnerability. It emphasizes the importance of spatial spillover effects and nonlinear analysis. Additionally, it offers valuable insights for emerging economies in formulating differentiated technology innovation policies.