School of Management, BML Munjal University, 67th KM Stone, NH-8, Gurugram, Haryana, 122413, India.
School of Economics and Public Policy, Adelaide Business School, The University of Adelaide, Australia; Department of Agricultural Finance & Cooperatives, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh.
J Environ Manage. 2024 Jan 15;350:119631. doi: 10.1016/j.jenvman.2023.119631. Epub 2023 Nov 25.
This research presents an in-depth investigation into the dynamic correlation between geopolitical conflicts and carbon markets utilizing the Time-Varying Parameter Vector Autoregression (TVP-VAR) technique. The analysis focuses on the interconnectedness between the Geopolitical Risk Index Daily (GPRD) and vital carbon pricing instruments, specifically the Intercontinental Exchange Endex European Union Allowance (ECEFDC), KraneShares California Carbon Allowance Strat ETF (KCCAK), Shanghai Environment and Energy Exchange China Emission Allowances Online Transactions (SAXCEA), and S&P Global Ex-Japan LargeMidCap Carbon Efficient Index (SPGJ). The daily fluctuations were traced from May 2021 to July 2023. The analysis is divided into short- and long-term connectedness, with particular emphasis on the impact of the Russia-Ukraine conflict on the GPRD's spillover on carbon markets. The short-term connectedness (1-5 days) between GPRD and ECEFDC shows variability, fluctuating between 10% and 40%. Conversely, long-term connectedness exhibited a significant increase during the conflict, peaking at approximately 34% by mid-2022. The analysis of the Total Dynamic Connectedness (TCI) between the GPRD and the KCCAK indicates comparable magnitudes, although with minor initial discrepancies. The short-term connectedness of GPRD and KCCAK decreases from its peak of approximately 10% to approximately 1%. Conversely, long-term connectedness varies between approximately 32% and 2% from May 2022 onwards. The long-term connectedness between GPRD and SAXCEA revealed variable patterns, peaking at around 18% at the beginning of the sample period and rapidly reducing to around 1% within two months. The analysis of the connectedness between GPRD and the SPG) identifies intense fluctuations in both TCI and long-term connectedness. After an initial increase and decrease, these patterns rebound and experience another increase. This research provides significant insights into the complex dynamics of geopolitical conflicts and carbon markets, particularly the impact of the Russia-Ukraine conflict on carbon market behavior.
本研究利用时变参数向量自回归(TVP-VAR)技术深入探讨了地缘政治冲突与碳市场之间的动态关联。该分析侧重于地缘政治风险指数日(GPRD)与重要碳定价工具之间的互联性,具体包括洲际交易所 Endex 欧盟配额(ECEFDC)、KraneShares 加州碳配额策略 ETF(KCCAK)、上海环境能源交易所中国排放配额在线交易(SAXCEA)和 S&P Global 日本以外大中盘碳效率指数(SPGJ)。每日波动可追溯至 2021 年 5 月至 2023 年 7 月。该分析分为短期和长期关联,特别强调了俄乌冲突对 GPRD 溢出效应对碳市场的影响。GPRD 与 ECEFDC 之间的短期关联(1-5 天)存在可变性,波动在 10%-40%之间。相反,长期关联在冲突期间显著增加,到 2022 年年中达到约 34%的峰值。对 GPRD 与 KCCAK 之间的总动态关联(TCI)的分析表明,两者的关联程度相当,尽管存在初期差异较小。GPRD 和 KCCAK 的短期关联从峰值约 10%下降至约 1%。相反,长期关联从 2022 年 5 月开始在约 32%-2%之间波动。GPRD 与 SAXCEA 之间的长期关联呈现出多变的模式,在样本期间开始时达到约 18%的峰值,然后在两个月内迅速降至约 1%。对 GPRD 与 SPGJ 之间关联的分析确定了 TCI 和长期关联的强烈波动。在最初的增加和减少之后,这些模式反弹并再次增加。本研究为地缘政治冲突与碳市场的复杂动态提供了重要见解,特别是俄乌冲突对碳市场行为的影响。