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Risk Spillover Effects in Energy Markets Under Climate Change: Evidence from the Chinese Market

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Listed:
  • Shufen Cao

    (School of Economics and Management, Southwest Petroleum University, Chengdu 610500, China)

  • Min Pang

    (School of Economics and Management, Southwest Petroleum University, Chengdu 610500, China)

  • Yongtan Ma

    (School of Economics and Management, Southwest Petroleum University, Chengdu 610500, China)

  • Qianyu Dong

    (School of Economics and Management, Southwest Petroleum University, Chengdu 610500, China)

  • Yongping Tao

    (China National Petroleum Corporation Drilling Fluid Technical Service Company, Sichuanqing Drilling Engineering Co., Chengdu 610051, China)

Abstract

To ascertain the impact of climate change on risk spillovers in energy markets, the vector autoregressive (VAR) model and the impulse response function (IRF) were utilized to analyze risk spillover effects in China’s energy markets between 2007 and 2023. The findings indicated that the risk spillover from climate change in China’s energy markets is characterized by asymmetric and time-varying characteristics. A substantial degree of heterogeneity exists among distinct energy markets. Climate physical risk has a detrimental effect on risk spillovers in energy markets, while transition risk has a positive impact on risk spillover in fuel, LPG, and natural gas markets, and a negative effect on risk spillover in alcohol, gasoline, and diesel markets.

Suggested Citation

  • Shufen Cao & Min Pang & Yongtan Ma & Qianyu Dong & Yongping Tao, 2025. "Risk Spillover Effects in Energy Markets Under Climate Change: Evidence from the Chinese Market," Sustainability, MDPI, vol. 17(5), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:5:p:2126-:d:1603305
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    References listed on IDEAS

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    1. Keke Li & Bofeng Cai & Zhen Wang, 2022. "Accessing the Climate Change Impacts in China through a Literature Mapping," IJERPH, MDPI, vol. 19(20), pages 1-14, October.
    2. Gong, Xue & Lai, Ping & He, Mengxi & Wen, Danyan, 2024. "Climate risk and energy futures high frequency volatility prediction," Energy, Elsevier, vol. 307(C).
    3. Akyildirim, Erdinc & Cepni, Oguzhan & Molnár, Peter & Uddin, Gazi Salah, 2022. "Connectedness of energy markets around the world during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 109(C).
    4. Can-Zhong Yao & Ze-Kun Zhang & Yan-Li Li, 2023. "The Analysis of Risk Measurement and Association in China’s Financial Sector Using the Tail Risk Spillover Network," Mathematics, MDPI, vol. 11(11), pages 1-35, June.
    5. Laibao Liu & Gang He & Mengxi Wu & Gang Liu & Haoran Zhang & Ying Chen & Jiashu Shen & Shuangcheng Li, 2023. "Climate change impacts on planned supply–demand match in global wind and solar energy systems," Nature Energy, Nature, vol. 8(8), pages 870-880, August.
    6. Gu, Qinen & Li, Shaofang & Tian, Sihua & Wang, Yuyouting, 2024. "Impact of climate risk on energy market risk spillover: Evidence from dynamic heterogeneous network analysis," Energy Economics, Elsevier, vol. 137(C).
    7. Tae Hoon Moon & Dong-Hwan Kim & Chang Sug Park & Dong-Sung Lee, 2017. "Policy Analysis to Reduce Climate Change-Induced Risks in Urban and Rural Areas in Korea," Sustainability, MDPI, vol. 9(4), pages 1-17, March.
    8. Rui Du & Pu Xu, 2024. "Time-Varying Spillover Effects Between Clean and Traditional Energy Under Multiple Uncertainty Risk: Evidence from the U.S. Market," Sustainability, MDPI, vol. 16(21), pages 1-19, October.
    9. M. Calcaterra & L. Aleluia Reis & P. Fragkos & T. Briera & H. S. Boer & F. Egli & J. Emmerling & G. Iyer & S. Mittal & F. H. J. Polzin & M. W. J. L. Sanders & T. S. Schmidt & A. Serebriakova & B. Stef, 2024. "Reducing the cost of capital to finance the energy transition in developing countries," Nature Energy, Nature, vol. 9(10), pages 1241-1251, October.
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