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Complex causalities between the carbon market and the stock markets for energy intensive industries in China

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  • Sun, Xiaotian
  • Fang, Wei
  • Gao, Xiangyun
  • An, Haizhong
  • Liu, Siyao
  • Wu, Tao

Abstract

The low-carbon development of energy intensive industries is of vital importance to achieve China's energy and climate targets in 2030 while carbon market is an important mechanism to promote carbon reduction. This paper investigates three types of causality, including positive, negative and dark causality, between China carbon prices and four energy intensive stock indexes using Pattern Causality method from a nonlinear symbolic dynamic perspective. Our findings show that there exists weak bidirectional causality between these two markets, which is manifested in that the fluctuation of 1% in one market approximately cause the fluctuation of 0.15%–0.3% in the other market. Moreover, we further analysis the impact of policies on the causalities between these two markets by dividing the whole timescale into seven stages. The results indicated that the document announcing the formal launch of China's carbon trading system prompted the dominant market of their causality shifting from carbon market to stock markets. Carbon markets gradually show stronger causal influence on the stock markets before December 2017, and the opposite after April 2018. And the Covid-19 has further exacerbated the weakening role of the carbon finance. Finally, the delay effect of carbon market on power industry stock market can be identified when unveiling the dark causality type.

Suggested Citation

  • Sun, Xiaotian & Fang, Wei & Gao, Xiangyun & An, Haizhong & Liu, Siyao & Wu, Tao, 2022. "Complex causalities between the carbon market and the stock markets for energy intensive industries in China," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 404-417.
    • Handle: RePEc:eee:reveco:v:78:y:2022:i:c:p:404-417
    DOI: 10.1016/j.iref.2021.12.008
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    1. Lin, Boqiang & Chen, Yufang, 2019. "Dynamic linkages and spillover effects between CET market, coal market and stock market of new energy companies: A case of Beijing CET market in China," Energy, Elsevier, vol. 172(C), pages 1198-1210.
    2. Oestreich, A. Marcel & Tsiakas, Ilias, 2015. "Carbon emissions and stock returns: Evidence from the EU Emissions Trading Scheme," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 294-308.
    3. Wen, Fenghua & Wu, Nan & Gong, Xu, 2020. "China's carbon emissions trading and stock returns," Energy Economics, Elsevier, vol. 86(C).
    4. Wu, Fei & Zhang, Dayong & Ji, Qiang, 2021. "Systemic risk and financial contagion across top global energy companies," Energy Economics, Elsevier, vol. 97(C).
    5. Dutta, Anupam & Bouri, Elie & Noor, Md Hasib, 2018. "Return and volatility linkages between CO2 emission and clean energy stock prices," Energy, Elsevier, vol. 164(C), pages 803-810.
    6. Frank Venmans, 2015. "Capital market response to emission allowance prices: a multivariate GARCH approach," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(4), pages 577-620, October.
    7. Ma, Yan-Ran & Ji, Qiang & Wu, Fei & Pan, Jiaofeng, 2021. "Financialization, idiosyncratic information and commodity co-movements," Energy Economics, Elsevier, vol. 94(C).
    8. Duan, Hongbo & Mo, Jianlei & Fan, Ying & Wang, Shouyang, 2018. "Achieving China's energy and climate policy targets in 2030 under multiple uncertainties," LSE Research Online Documents on Economics 86481, London School of Economics and Political Science, LSE Library.
    9. Matilla-García, Mariano & Marín, Manuel Ruiz & Dore, Mohammed I., 2014. "A permutation entropy based test for causality: The volume–stock price relation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 398(C), pages 280-288.
    10. Zhu, Bangzhu & Huang, Liqing & Yuan, Lili & Ye, Shunxin & Wang, Ping, 2020. "Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 163-175.
    11. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2020. "How connected is the carbon market to energy and financial markets? A systematic analysis of spillovers and dynamics," Energy Economics, Elsevier, vol. 90(C).
    12. Chun Jiang & Yi-Fan Wu & Xiao-Lin Li & Xin Li, 2020. "Time-frequency Connectedness between Coal Market Prices, New Energy Stock Prices and CO 2 Emissions Trading Prices in China," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    13. Jiménez-Rodríguez, Rebeca, 2019. "What happens to the relationship between EU allowances prices and stock market indices in Europe?," Energy Economics, Elsevier, vol. 81(C), pages 13-24.
    14. Yanbin Li & Dan Nie & Bingkang Li & Xiyu Li, 2020. "The Spillover Effect between Carbon Emission Trading (CET) Price and Power Company Stock Price in China," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    15. Geng, Jiang-Bo & Liu, Changyu & Ji, Qiang & Zhang, Dayong, 2021. "Do oil price changes really matter for clean energy returns?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    16. Duan, Hongbo & Mo, Jianlei & Fan, Ying & Wang, Shouyang, 2018. "Achieving China's energy and climate policy targets in 2030 under multiple uncertainties," Energy Economics, Elsevier, vol. 70(C), pages 45-60.
    17. Fang, Sheng & Lu, Xinsheng & Li, Jianfeng & Qu, Ling, 2018. "Multifractal detrended cross-correlation analysis of carbon emission allowance and stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 551-566.
    18. Moreno, Blanca & Pereira da Silva, Patrícia, 2016. "How do Spanish polluting sectors' stock market returns react to European Union allowances prices? A panel data approach," Energy, Elsevier, vol. 103(C), pages 240-250.
    19. Qi, Tianyu & Weng, Yuyan, 2016. "Economic impacts of an international carbon market in achieving the INDC targets," Energy, Elsevier, vol. 109(C), pages 886-893.
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    7. Zhixiong Weng & Cuiyun Cheng & Yang Xie & Hao Ma, 2022. "Reduction Effect of Carbon Emission Trading Policy in Decreasing PM 2.5 Concentrations in China," IJERPH, MDPI, vol. 19(23), pages 1-12, December.
    8. Zhao, Lu-Tao & Liu, Hai-Yi & Chen, Xue-Hui, 2024. "How does carbon market interact with energy and sectoral stocks? Evidence from risk spillover and wavelet coherence," Journal of Commodity Markets, Elsevier, vol. 33(C).
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