Green or grey stocks? Dynamic effects of carbon markets based on Chinese practices.

IF 1.9 4区 经济学 Q2 ECONOMICS
Yingying Xu, Xiang Li
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引用次数: 0

Abstract

Carbon trading and new energy markets are two key mechanisms for carbon reduction. However, theoretical analysis cannot reveal the complex links between carbon, green, and grey markets. Therefore, this study resorts to the frequency spillover index to explore the overall and directional connectedness of carbon-energy systems in China. The spillover effect indicates the cross-market propagation of information shocks and the potential ripple effects of specific shocks on system-wide changes. Dynamic spillovers suggest that the role of a certain market is not unchanged. In the time domain, both the overall and directional spillovers are closely related with the trading of carbon allowances and tend to show jumps at the beginning and end of the cycle. In the frequency domain, the short-term effects are much stronger than the medium- and long-term effects on all dimensions of the spillover effect. Comparatively, the grey energy is the main information transmitter at the high frequency, whereas it is the green energy playing such a role at medium and low frequencies. Comparing the overall spillovers on carbon markets, the effect of grey energy exceeds that of green energy. Even so, the carbon market plays an important role in the carbon-energy system with extremely significant effects on green and grey energy stocks at certain periods. The results provide profound implications for the management of carbon markets and portfolio optimization.

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绿色股票还是灰色股票?基于中国实践的碳市场动态效应。
碳交易和新能源市场是碳减排的两个关键机制。然而,理论分析无法揭示碳市场、绿色市场和灰色市场之间的复杂联系。因此,本研究采用频率溢出指数来探索中国碳能源系统的整体和方向连通性。溢出效应表明信息冲击的跨市场传播以及特定冲击对全系统变化的潜在连锁反应。动态溢出表明,某个市场的作用并非一成不变。在时间域中,总体溢出和定向溢出都与碳配额的交易密切相关,并倾向于在周期开始和结束时出现跳跃。在频域中,在溢出效应的各个维度上,短期效应都强于中长期效应。相比之下,灰色能量是高频下的主要信息发射器,而绿色能量在中低频下起着这样的作用。比较碳市场的总体溢出效应,灰色能源的影响超过了绿色能源。即便如此,碳市场在碳能源系统中发挥着重要作用,在特定时期对绿色和灰色能源存量产生了极其显著的影响。研究结果为碳市场管理和投资组合优化提供了深刻的启示。
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来源期刊
CiteScore
4.40
自引率
0.00%
发文量
157
期刊介绍: Empirical Economics publishes high quality papers using econometric or statistical methods to fill the gap between economic theory and observed data. Papers explore such topics as estimation of established relationships between economic variables, testing of hypotheses derived from economic theory, treatment effect estimation, policy evaluation, simulation, forecasting, as well as econometric methods and measurement. Empirical Economics emphasizes the replicability of empirical results. Replication studies of important results in the literature - both positive and negative results - may be published as short papers in Empirical Economics. Authors of all accepted papers and replications are required to submit all data and codes prior to publication (for more details, see: Instructions for Authors).The journal follows a single blind review procedure. In order to ensure the high quality of the journal and an efficient editorial process, a substantial number of submissions that have very poor chances of receiving positive reviews are routinely rejected without sending the papers for review.Officially cited as: Empir Econ
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