IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v74y2025ics1544612325000649.html

Climate risks and the connectedness between clean and dirty energy markets

Author

Listed:
  • Huang, Jingyan
  • Liu, Zhenhua
  • Guo, Kun

Abstract

Climate risks pose significant challenges and threats to complex energy market system. This paper illuminates the interactions between clean and dirty energy markets and further investigates their asymmetric responses to climate risks. The influence of climate risks extends beyond extreme values and has a substantial impact on the overall distribution of the connectedness between clean and dirty energy markets. As the physical risk intensifies, the connectedness within both clean and dirty energy markets increases. The abnormal transition risk will render energy market fluctuations more uncertain and accentuate the distinction between clean and dirty energy markets.

Suggested Citation

  • Huang, Jingyan & Liu, Zhenhua & Guo, Kun, 2025. "Climate risks and the connectedness between clean and dirty energy markets," Finance Research Letters, Elsevier, vol. 74(C).
    • Handle: RePEc:eee:finlet:v:74:y:2025:i:c:s1544612325000649
    DOI: 10.1016/j.frl.2025.106799
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325000649
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2025.106799?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Ding, Qian & Huang, Jianbai & Zhang, Hongwei, 2022. "Time-frequency spillovers among carbon, fossil energy and clean energy markets: The effects of attention to climate change," International Review of Financial Analysis, Elsevier, vol. 83(C).
    2. Gong, Xu & Liao, Qin, 2024. "Physical climate risk attention and dynamic volatility connectedness among new energy stocks," Energy Economics, Elsevier, vol. 136(C).
    3. Farid, Saqib & Karim, Sitara & Naeem, Muhammad A. & Nepal, Rabindra & Jamasb, Tooraj, 2023. "Co-movement between dirty and clean energy: A time-frequency perspective," Energy Economics, Elsevier, vol. 119(C).
    4. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    5. Cifuentes-Faura, Javier & Mohammed, Kamel Si & Alofaysan, Hind, 2024. "The connectedness and structural changes among green and conventional energy markets with CO2 emissions in the United States," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 80-94.
    6. Matteo Foglia & Eliana Angelini, 2020. "Volatility Connectedness between Clean Energy Firms and Crude Oil in the COVID-19 Era," Sustainability, MDPI, vol. 12(23), pages 1-22, November.
    7. Chen, Xia & Fu, Qiang & Chang, Chun-Ping, 2021. "What are the shocks of climate change on clean energy investment: A diversified exploration," Energy Economics, Elsevier, vol. 95(C).
    8. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    9. Gabauer, David & Gupta, Rangan, 2018. "On the transmission mechanism of country-specific and international economic uncertainty spillovers: Evidence from a TVP-VAR connectedness decomposition approach," Economics Letters, Elsevier, vol. 171(C), pages 63-71.
    10. Khalfaoui, Rabeh & Mefteh-Wali, Salma & Viviani, Jean-Laurent & Ben Jabeur, Sami & Abedin, Mohammad Zoynul & Lucey, Brian M., 2022. "How do climate risk and clean energy spillovers, and uncertainty affect U.S. stock markets?," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    11. Yuqin Zhou & Shan Wu & Zhenhua Liu & Lavinia Rognone, 2023. "The asymmetric effects of climate risk on higher-moment connectedness among carbon, energy and metals markets," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    12. Lorente, Daniel Balsalobre & Mohammed, Kamel Si & Cifuentes-Faura, Javier & Shahzad, Umer, 2023. "Dynamic connectedness among climate change index, green financial assets and renewable energy markets: Novel evidence from sustainable development perspective," Renewable Energy, Elsevier, vol. 204(C), pages 94-105.
    13. Ma, Dandan & Zhang, Dayong & Guo, Kun & Ji, Qiang, 2024. "Coupling between global climate policy uncertainty and economic policy uncertainty," Finance Research Letters, Elsevier, vol. 69(PB).
    14. Swamy, Vighneswara & Dharani, M. & Takeda, Fumiko, 2019. "Investor attention and Google Search Volume Index: Evidence from an emerging market using quantile regression analysis," Research in International Business and Finance, Elsevier, vol. 50(C), pages 1-17.
    15. Sim, Nicholas & Zhou, Hongtao, 2015. "Oil prices, US stock return, and the dependence between their quantiles," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 1-8.
    16. Xun Zhang & Fengbin Lu & Rui Tao & Shouyang Wang, 2021. "The time-varying causal relationship between the Bitcoin market and internet attention," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
    17. Mauro Aliano & Giuseppe Galloppo & Viktoriia Paimanova, 2023. "People and investor attention to climate change," The European Journal of Finance, Taylor & Francis Journals, vol. 29(18), pages 2107-2127, December.
    18. Umar, Muhammad & Farid, Saqib & Naeem, Muhammad Abubakr, 2022. "Time-frequency connectedness among clean-energy stocks and fossil fuel markets: Comparison between financial, oil and pandemic crisis," Energy, Elsevier, vol. 240(C).
    19. Corbet, Shaen & Goodell, John W. & Günay, Samet, 2020. "Co-movements and spillovers of oil and renewable firms under extreme conditions: New evidence from negative WTI prices during COVID-19," Energy Economics, Elsevier, vol. 92(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ren, Yu & Liu, Xiongfei & Zhu, Yi, 2025. "The role of renewable energy investment in energy economic efficiency under the “dual carbon” policy," International Review of Economics & Finance, Elsevier, vol. 103(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wei, Yu & Zhang, Jiahao & Bai, Lan & Wang, Yizhi, 2023. "Connectedness among El Niño-Southern Oscillation, carbon emission allowance, crude oil and renewable energy stock markets: Time- and frequency-domain evidence based on TVP-VAR model," Renewable Energy, Elsevier, vol. 202(C), pages 289-309.
    2. Zhang, Jiahao & Chen, Xiaodan & Wei, Yu & Bai, Lan, 2023. "Does the connectedness among fossil energy returns matter for renewable energy stock returns? Fresh insights from the Cross-Quantilogram analysis," International Review of Financial Analysis, Elsevier, vol. 88(C).
    3. Dai, Zhifeng & Hu, Juan & Liu, Xinheng & Yang, Mi, 2024. "ynamic time-domain and frequency-domain spillovers and portfolio strategies between climate change attention and energy-relevant markets," Energy Economics, Elsevier, vol. 134(C).
    4. Farid, Saqib & Karim, Sitara & Naeem, Muhammad A. & Nepal, Rabindra & Jamasb, Tooraj, 2023. "Co-movement between dirty and clean energy: A time-frequency perspective," Energy Economics, Elsevier, vol. 119(C).
    5. Yi, Qing & Jiang, Yuanying, 2025. "Time-frequency spillovers between carbon, fossil fuels, and clean energy markets: New insights from the TVP-VAR framework," Energy, Elsevier, vol. 323(C).
    6. Hossain, Mohammad Razib & Ben Jabeur, Sami & Si Mohammed, Kamel & Shahzad, Umer, 2024. "Time-varying relatedness and structural changes among green growth, clean energy innovation, and carbon market amid exogenous shocks: A quantile VAR approach," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    7. Yang, Yajie & Zhao, Longfeng & Chen, Lin & Wang, Chao & Wang, Gang-Jin, 2025. "The spillover effects between renewable energy tokens and energy assets," Research in International Business and Finance, Elsevier, vol. 74(C).
    8. Li, Xinran & Cheng, Sheng & Liang, Ruibin & Tang, Tao, 2025. "Internal and external risk spillovers in energy and metal markets: the role of economic policy uncertainties," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 1742-1762.
    9. Balash, Vladimir & Faizliev, Alexey, 2024. "Volatility spillovers across Russian oil and gas sector. Evidence of the impact of global markets and extraordinary events," Energy Economics, Elsevier, vol. 129(C).
    10. Basher, Syed Abul & Sadorsky, Perry, 2024. "Do climate change risks affect the systemic risk between the stocks of clean energy, electric vehicles, and critical minerals? Analysis under changing market conditions," Energy Economics, Elsevier, vol. 138(C).
    11. Ji, Hao & Naeem, Muhammad & Zhang, Jing & Tiwari, Aviral Kumar, 2024. "Dynamic dependence and spillover among the energy related ETFs: From the hedging effectiveness perspective," Energy Economics, Elsevier, vol. 136(C).
    12. Lei, Heng & Xue, Minggao & Ye, Jing, 2024. "The nexus between ReFi, carbon, fossil energy, and clean energy assets: Quantile time–frequency connectedness and portfolio implications," Energy Economics, Elsevier, vol. 132(C).
    13. Fasanya, Ismail O. & Mubaiwa, Darren T., 2025. "Dynamics of extreme spillovers between clean energy stocks and fossil fuels: The role of climate policy uncertainty and geopolitical risks," Energy, Elsevier, vol. 335(C).
    14. Yan, Wan-Lin & Cheung, Adrian (Wai Kong), 2025. "Quantile connectedness among climate policy uncertainty, news sentiment, oil and renewables in China," Research in International Business and Finance, Elsevier, vol. 76(C).
    15. Lang, Chunlin & Xu, Danyang & Corbet, Shaen & Hu, Yang & Goodell, John W., 2024. "Global financial risk and market connectedness: An empirical analysis of COVOL and major financial markets," International Review of Financial Analysis, Elsevier, vol. 93(C).
    16. Su, Xianfang & Zhao, Yachao, 2023. "What has the strongest connectedness with clean energy? Technology, substitutes, or raw materials," Energy Economics, Elsevier, vol. 128(C).
    17. Liu, Chunna & Ma, Shihan & Lu, Shiyi & Zhi, Jiaqi & Shen, Jian & Li, Xiaoyan & Shi, Changfeng, 2025. "Study on the time-frequency risk spillover network of “carbon-energy-stock” system under climate risk shock," Energy, Elsevier, vol. 334(C).
    18. Zhou, Mingtao & Ma, Yong, 2025. "Physical vs. Transition climate risks: Asymmetric effects on stock return predictability," International Review of Financial Analysis, Elsevier, vol. 104(PA).
    19. Wang, Lu & Guan, Li & Ding, Qian & Zhang, Hongwei, 2023. "Asymmetric impact of COVID-19 news on the connectedness of the green energy, dirty energy, and non-ferrous metal markets," Energy Economics, Elsevier, vol. 126(C).
    20. Banerjee, Ameet Kumar & Sensoy, Ahmet & Goodell, John W., 2024. "Connectivity and spillover during crises: Highlighting the prominent and growing role of green energy," Energy Economics, Elsevier, vol. 129(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • P45 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - International Linkages
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:74:y:2025:i:c:s1544612325000649. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.