Liquidity spillover from carbon emission trading markets to stock markets in China

Xinyuan Yang, Jingyao Zhu, Hantao Xie, Jianing Zhang
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Abstract

This study delves into China’s carbon emissions trading markets, investigating the interplay between carbon price liquidity and stock liquidity. Focusing on 338 companies listed in the national and eight pilot markets of the carbon emissions trading system from August 2013 to October 2023, the empirical finding reveals a positive impact of carbon price liquidity on stock liquidity. Notably, this positive association manifests more robustly in industries characterized by low carbon intensity compared to those with high carbon intensity, is more prominent during the COVID-19 period than in preceding times, and is particularly accentuated in the Hubei Province and Chongqing, as opposed to the remaining seven regions. Intriguingly, both carbon price liquidity and stock liquidity display positive autocorrelations in vector autoregression analysis. The endogeneity concern is alleviated by the two-stage least squares regressions, using lagged carbon price liquidity as instrumental variables. This study contributes to an enhanced comprehension of the dynamic interaction between carbon price liquidity and stock liquidity contextualized within China’s evolving carbon market landscape. The insights garnered herein hold substantial value for investors and government stakeholders seeking to navigate this evolving financial terrain. AcknowledgmentThis research was supported by the Summer Student Partnering with Faculty Research Program of Wenzhou-Kean University (WKUSSPF202304), the Wenzhou Association for Science and Technology – Service and Technology Innovation Program (jczc0254), and the Department of Education of Zhejiang Province – General Program (Y202353438).
中国碳排放权交易市场对股票市场的流动性溢出效应
本研究深入探讨了中国碳排放权交易市场,研究了碳价格流动性与股票流动性之间的相互作用。以 2013 年 8 月至 2023 年 10 月期间在全国碳排放权交易市场和 8 个试点市场上市的 338 家公司为研究对象,实证发现碳价格流动性对股票流动性有正向影响。值得注意的是,与高碳强度行业相比,这种正相关在低碳强度行业表现得更为明显,在COVID-19期间比之前更为突出,湖北省和重庆市与其余七个地区相比尤为突出。耐人寻味的是,在向量自回归分析中,碳价格流动性和股票流动性都显示出正的自相关性。利用滞后的碳价格流动性作为工具变量,通过两阶段最小二乘法回归缓解了内生性问题。在中国碳市场不断发展的背景下,本研究有助于更好地理解碳价格流动性与股票流动性之间的动态互动关系。本文所获得的见解对投资者和政府利益相关者在不断变化的金融环境中寻求导航具有重要价值。致谢本研究得到了温州肯恩大学暑期学生与教师合作研究项目(WKUSSPF202304)、温州市科协-服务与科技创新项目(jczc0254)和浙江省教育厅-一般项目(Y202353438)的支持。
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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