IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v75y2025ics1544612325000820.html

Correlation among climate risk, climate policy uncertainty, and carbon-intensive stock markets in China

Author

Listed:
  • Zhu, Yuxuan
  • Liu, Yike
  • Zhou, Ye
  • Xing, Xiaoyun
  • Wang, Xiuya

Abstract

This paper investigates the correlation between climate risk, climate policy uncertainty, and carbon-intensive stock markets in China. Using daily closing prices for eight carbon-intensive stock sectors from January 3, 2017 to July 27, 2022, we construct a complex network based on Kendall rank correlations. Additionally, the minimum spanning tree is employed to elucidate the topological structure, thereby demonstrating the impact of climate risk and climate policy uncertainty on China’s carbon-intensive markets. The paper shows that the proposal of dual carbon targets has made China’s carbon-intensive stock markets more susceptible to shocks resulting from climate change.

Suggested Citation

  • Zhu, Yuxuan & Liu, Yike & Zhou, Ye & Xing, Xiaoyun & Wang, Xiuya, 2025. "Correlation among climate risk, climate policy uncertainty, and carbon-intensive stock markets in China," Finance Research Letters, Elsevier, vol. 75(C).
    • Handle: RePEc:eee:finlet:v:75:y:2025:i:c:s1544612325000820
    DOI: 10.1016/j.frl.2025.106817
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325000820
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2025.106817?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. 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.
    2. Anissa Nurdiawati & Frauke Urban, 2021. "Towards Deep Decarbonisation of Energy-Intensive Industries: A Review of Current Status, Technologies and Policies," Energies, MDPI, vol. 14(9), pages 1-33, April.
    3. James H. Stock, 2020. "Climate Change, Climate Policy, and Economic Growth," NBER Macroeconomics Annual, University of Chicago Press, vol. 34(1), pages 399-419.
    4. Matthew Paterson, 2012. "Who and what are carbon markets for? Politics and the development of climate policy," Climate Policy, Taylor & Francis Journals, vol. 12(1), pages 82-97, January.
    5. 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).
    6. Xing, Xiaoyun & Xu, Zihan & Chen, Ying & Ouyang, WenPei & Deng, Jing & Pan, Huanxue, 2023. "The impact of the Russia–Ukraine conflict on the energy subsector stocks in China: A network-based approach," Finance Research Letters, Elsevier, vol. 53(C).
    7. Yin, Libo & Cao, Hong, 2024. "The propagation effect of climate risks on global stock markets: Evidence from the time and space domains," Energy Economics, Elsevier, vol. 132(C).
    8. Fan, Qingzhu & Gao, Wang, 2024. "Climate risk and financial stability: The mediating effect of green credit," Finance Research Letters, Elsevier, vol. 65(C).
    9. Pan, Junyu & Hunjra, Ahmed Imran & Bruna, Maria Giuseppina & Zhao, Shikuan & Bouri, Elie, 2024. "Shaping sustainability: How corporate reputation can be enhanced under climate change conditions," Finance Research Letters, Elsevier, vol. 62(PA).
    10. Tomohiro Ando & Matthew Greenwood-Nimmo & Yongcheol Shin, 2022. "Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks," Management Science, INFORMS, vol. 68(4), pages 2401-2431, April.
    11. Arthur A. Benthem & Edmund Crooks & Stefano Giglio & Eugenie Schwob & Johannes Stroebel, 2022. "The effect of climate risks on the interactions between financial markets and energy companies," Nature Energy, Nature, vol. 7(8), pages 690-697, August.
    12. Ji, Qiang & Ma, Dandan & Zhai, Pengxiang & Fan, Ying & Zhang, Dayong, 2024. "Global climate policy uncertainty and financial markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 95(C).
    13. Liu, Zhonglu & Pang, Tengfei & Sun, Haibo, 2024. "Decarbonization policy and high-carbon enterprise default risk: Evidence from China," Economic Modelling, Elsevier, vol. 134(C).
    14. Reboredo, Juan C. & Ugolini, Andrea, 2022. "Climate transition risk, profitability and stock prices," International Review of Financial Analysis, Elsevier, vol. 83(C).
    15. Xu, Bin & Chen, Jianbao, 2021. "How to achieve a low-carbon transition in the heavy industry? A nonlinear perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    16. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    17. Venturini, Alessio, 2022. "Climate change, risk factors and stock returns: A review of the literature," International Review of Financial Analysis, Elsevier, vol. 79(C).
    18. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    19. Dikau, Simon & Volz, Ulrich, 2021. "Central bank mandates, sustainability objectives and the promotion of green finance," Ecological Economics, Elsevier, vol. 184(C).
    20. Tran, Vuong Thao & Phan, Dinh Hoang Bach & Tee, Chwee-Ming & Nguyen, Dat Thanh, 2024. "Unmasking the carbon conundrum: How emissions impact stock price crash risk," Finance Research Letters, Elsevier, vol. 64(C).
    21. Qing Li & Hongyu Shan & Yuehua Tang & Vincent Yao, 2024. "Corporate Climate Risk: Measurements and Responses," The Review of Financial Studies, Society for Financial Studies, vol. 37(6), pages 1778-1830.
    22. Gong, Xu & Song, Yijie & Fu, Chengbo & Li, Huijing, 2023. "Climate risk and stock performance of fossil fuel companies: An international analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
    23. Liu, Zhonglu & Li, Jun & Sun, Haibo, 2024. "Climate transition risk and bank risk-taking: The role of digital transformation," Finance Research Letters, Elsevier, vol. 61(C).
    24. Mhadhbi, Mayssa, 2024. "The interconnected carbon, fossil fuels, and clean energy markets: Exploring Europe and China's perspectives on climate change," Finance Research Letters, Elsevier, vol. 62(PB).
    25. Xu, Renjing & Xu, Bin, 2022. "Exploring the effective way of reducing carbon intensity in the heavy industry using a semiparametric econometric approach," Energy, Elsevier, vol. 243(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. Yang, Kun & Huang, Xinyue & Yu, Wenhua & Wei, Yu, 2025. "The impacts of climate policy uncertainty on stock market extreme risk spillovers," Finance Research Letters, Elsevier, vol. 85(PB).

    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. 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).
    2. Wan, Yu-fan & Wang, Ming-hui & Wu, Feng-lin, 2025. "Greater fragility, greater exposure: A network-based analysis of climate policy uncertainty shocks and G20 stock markets stability," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
    3. Zhu, Yao-Long & Li, Ruihan & Liu, Peipei, 2025. "Time–frequency risk spillovers between Chinese climate policy uncertainty and the stock market," Finance Research Letters, Elsevier, vol. 86(PB).
    4. Adriano Bellinvia & Paola Brighi & Valeria Venturelli, 2026. "Banks and climate risk: a bibliometric review and policy perspective," Journal of Banking Regulation, Palgrave Macmillan, vol. 27(2), pages 1-29, June.
    5. Zhang, Jun & Chen, Donghui, 2024. "Time-frequency cross-country spillovers of climate policy uncertainty: Does it matter for financial risk?," Energy, Elsevier, vol. 312(C).
    6. Doğan, Buhari & Ben Jabeur, Sami & Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins, 2025. "Asymmetry in returns and volatility between green financial assets, sustainable investments, clean energy, and international stock markets," Research in International Business and Finance, Elsevier, vol. 73(PA).
    7. Chen, Baifan & Huang, Jionghao & Tang, Lianzhou & Wu, Jialu & Xia, Xiaohua, 2025. "Heterogeneous effects of common volatility in energy commodity markets on the structure of inter-sectoral connectedness within the Chinese stock market," International Review of Financial Analysis, Elsevier, vol. 102(C).
    8. Adeabah, David & Pham, Thu Phuong, 2025. "Asymmetric tail risk spillover and co-movement between climate risk and the international energy market," Energy Economics, Elsevier, vol. 141(C).
    9. 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).
    10. Qiao, Sen & Chang, Yuan & Mai, Xi Xi & Dang, Yi Jing, 2024. "Climate policy uncertainty, clean energy and energy metals: A quantile time-frequency spillover study," Energy Economics, Elsevier, vol. 139(C).
    11. Yu, Senyuan & Li, Jianfeng & Tao, Zhensheng & Yao, Xiaoyang & Wang, Hui, 2025. "The risk connectedness between international crude oil market and Chinese asset markets: From the perspective of common and idiosyncratic information," International Review of Financial Analysis, Elsevier, vol. 108(PA).
    12. Lei, Shaohai & Chen, Yilan & Xia, Dehua, 2025. "Does climate risk disclosure affect stock liquidity?," Research in International Business and Finance, Elsevier, vol. 80(C).
    13. 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).
    14. Aysan, Ahmet Faruk & Batten, Jonathan & Gozgor, Giray & Khalfaoui, Rabeh & Nanaeva, Zhamal, 2024. "Metaverse and financial markets: A quantile-time-frequency connectedness analysis," Research in International Business and Finance, Elsevier, vol. 72(PB).
    15. Shiyuan Li & Xin Li, 2025. "Spillover effects of climate transition risk and financial sectors: New evidence from China," Australian Economic Papers, Wiley Blackwell, vol. 64(1), pages 71-90, March.
    16. Le, Trung H. & Pham, Linh & Do, Hung X., 2023. "Price risk transmissions in the water-energy-food nexus: Impacts of climate risks and portfolio implications," Energy Economics, Elsevier, vol. 124(C).
    17. Andrea Bastianin & Chiara Casoli & Evzen Kocenda & Xiao Li, 2026. "Extreme Connectedness among Energy Transition Metals and Commodity Markets," Working Papers 2026.13, Fondazione Eni Enrico Mattei.
    18. Motegi, Kaiji & Sugano, Saki, 2025. "Cross-regional spillover effects of sustainability indices: A heteroscedasticity-robust VAR approach," International Review of Financial Analysis, Elsevier, vol. 108(PA).
    19. Wang, Wei & Enilov, Martin & Stankov, Petar, 2025. "Can cryptocurrency or gold rescue BRICS stocks amid the Russia-Ukraine conflict?," International Review of Financial Analysis, Elsevier, vol. 104(PA).
    20. Umar, Zaghum & Bossman, Ahmed, 2023. "Quantile connectedness between oil price shocks and exchange rates," Resources Policy, Elsevier, vol. 83(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • 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:75:y:2025:i:c:s1544612325000820. 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.