Geopolitical shocks and carbon pricing: Do clean energy assets act as a hedge?

IF 9.5 Q1 ENERGY & FUELS
Anupam Dutta , Sourav Mukharjee , Gazi Salah Uddin
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引用次数: 0

Abstract

While the interaction between geopolitical events and emission trading system (ETS) is somewhat complex, very little is known about how geopolitical shocks impact global carbon prices. In this study, we extend this scant literature by exploring the linkage between geopolitical risk (GPR) and the Chinese carbon markets. Given that geopolitical shocks may influence the Chinese ETS in several ways, such linkage merits an empirical investigation. Methodologically, we combine the Markov regime switching (MRS) model with the vector autoregressive (VAR) process and apply it to the Shenzhen and Hubei carbon markets. The results suggest that while the standard VAR model fails to capture any connection between geopolitical shocks and carbon returns, employing the MRS-VAR process reveals that GPR in fact exerts significant effects on the Chinese carbon markets implying that such effects appear to be regime-dependent. More specifically, the impact of geopolitical shocks is negative in the high volatility regime, but statistically insignificant in the low volatility regime. Further investigations show that higher geopolitical risk leads to higher hedging costs and that clean energy equities could be a suitable hedge for the Chinese carbon markets amid the periods of high geopolitical uncertainties. These outcomes have key implications which would be crucial for reaching the net-zero goals.
地缘政治冲击与碳定价:清洁能源资产能起到对冲作用吗?
虽然地缘政治事件与排放交易体系之间的相互作用有些复杂,但人们对地缘政治冲击如何影响全球碳价格知之甚少。在本研究中,我们通过探索地缘政治风险(GPR)与中国碳市场之间的联系来扩展这一文献。鉴于地缘政治冲击可能以多种方式影响中国的ETS,这种联系值得实证研究。在方法上,我们将马尔可夫状态切换(MRS)模型与向量自回归(VAR)过程相结合,并将其应用于深圳和湖北的碳市场。结果表明,尽管标准VAR模型未能捕捉地缘政治冲击与碳回报之间的任何联系,但采用MRS-VAR过程显示,GPR实际上对中国碳市场产生了显著影响,这意味着这种影响似乎与政权有关。更具体地说,地缘政治冲击的影响在高波动机制中是负面的,但在低波动机制中统计上不显著。进一步的调查表明,较高的地缘政治风险导致较高的对冲成本,在地缘政治高度不确定的时期,清洁能源股票可能是中国碳市场的合适对冲工具。这些结果对实现净零排放目标至关重要。
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
Energy nexus
Energy nexus Energy (General), Ecological Modelling, Renewable Energy, Sustainability and the Environment, Water Science and Technology, Agricultural and Biological Sciences (General)
CiteScore
7.70
自引率
0.00%
发文量
0
审稿时长
109 days
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