School of Economics and Management, Beijing Forestry University, 100083 Beijing, PR China.
School of Economics and Management, Beijing Forestry University, 100083 Beijing, PR China.
J Environ Manage. 2024 Sep;367:121845. doi: 10.1016/j.jenvman.2024.121845. Epub 2024 Jul 27.
The rapid development of green energy would render a profound impact on the non-ferrous metals markets in China. This paper adopts the quantile vector autoregression (QVAR) to investigate the spillover effects between China's green energy and non-ferrous metals markets as well as their dynamic pattern under normal and extreme conditions. Furthermore, GARCH-MIDAS model and quantile regression method are applied to examine the impact of China's climate policy uncertainty on the spillovers between the two markets. In doing so, we find that green energy markets mainly act as transmitters of return spillover effects to non-ferrous metals markets during normal market times and periods of downturns. However, in upturns, the non-ferrous metals markets would easily transit spillover effects to green energy ones. It is further indicated that China's climate policy uncertainty exacerbates the spillover effect, and the exacerbated effect of high uncertainty on the market relationship when the spillover effect is at high level is the most significant.
绿色能源的快速发展将对中国的有色金属市场产生深远影响。本文采用分位数向量自回归(QVAR)模型来研究中国绿色能源与有色金属市场之间的溢出效应及其在正常和极端条件下的动态模式。此外,应用 GARCH-MIDAS 模型和分位数回归方法来检验中国气候政策不确定性对两个市场之间溢出效应的影响。研究结果表明,在正常市场时期和市场低迷时期,绿色能源市场主要充当向有色金属市场传递收益溢出效应的角色;而在市场繁荣时期,有色金属市场则更容易将溢出效应传递给绿色能源市场。进一步表明,中国气候政策不确定性会加剧溢出效应,而且在溢出效应处于高水平时,高不确定性对市场关系的加剧效应最为显著。