Risk contagion among renewable energy, fossil energy and agricultural commodity markets: Insights from dynamic networks

IF 7.9 2区 经济学 Q1 ECONOMICS
Yujia Jin , Ailian Zhang , Bai Liu
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引用次数: 0

Abstract

Although global energy transition fundamentally reshapes interdependencies between fossil energy-renewable energy-agricultural commodity (FRA) markets, the intricate risk contagion within FRA market system remains underexplored. Using dynamic spillover and risk network analysis, this study investigates risk contagion within the FRA system comparing the representative markets in China and the US, and further identifies the impact of extreme events. The findings reveal that agricultural commodity market acts as the dominant bridge for risk spillover between fossil and renewable energy markets due to bioenergy demand and cost linkages. Extreme events dynamically change risk transmission networks, exhibiting pronounced market heterogeneity. Structural and institutional differences of Chinese and the US markets form fundamentally distinct risk propagation pathways. China’s renewable energy shifts from risk transmitter to recipient during trade conflicts, while the US fossil energy amplifies risk absorption during supply disruptions. These findings improve risk supervision for policymakers and investors during energy transition.
可再生能源、化石能源和农产品市场的风险传染:来自动态网络的洞察
尽管全球能源转型从根本上重塑了化石能源-可再生能源-农产品(FRA)市场之间的相互依赖关系,但FRA市场体系内部复杂的风险传染仍未得到充分探讨。本文采用动态溢出和风险网络分析方法,通过对中国和美国代表性市场的比较,研究了FRA系统内的风险传染,并进一步确定了极端事件的影响。研究结果表明,由于生物能源需求和成本的联系,农产品市场在化石能源和可再生能源市场之间的风险溢出中起着主要的桥梁作用。极端事件动态地改变了风险传递网络,表现出明显的市场异质性。中美两国市场的结构和制度差异,形成了根本不同的风险传播路径。在贸易冲突期间,中国的可再生能源从风险传递者转变为风险接受者,而美国的化石能源在供应中断期间放大了风险吸收。这些发现有助于政策制定者和投资者在能源转型过程中进行风险监管。
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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来源期刊
CiteScore
9.80
自引率
9.20%
发文量
231
审稿时长
93 days
期刊介绍: Economic Analysis and Policy (established 1970) publishes articles from all branches of economics with a particular focus on research, theoretical and applied, which has strong policy relevance. The journal also publishes survey articles and empirical replications on key policy issues. Authors are expected to highlight the main insights in a non-technical introduction and in the conclusion.
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