Low-carbon investment volatility under policy uncertainty: Evidence from equity markets and implications for carbon capture deployment
Policy uncertainty can destabilize investments in carbon capture, utilization, and storage (CCUS) by heightening market volatility. However, the impact of climate policy uncertainty (CPU) on emerging low-carbon financial markets remains insufficiently understood, particularly across different countries. To address this gap, we conduct the first cross-country analysis of how CPU and general economic policy uncertainty (EPU) affect CCUS-related equity volatility in China, the United States, and Russia. Using GARCH-X and EGARCH-X volatility models with CPU and EPU indices as exogenous variables, we find that elevated policy uncertainty—whether climate- or economy-related—significantly increases volatility in CCUS equity returns. Moreover, our EGARCH-X results reveal an asymmetric leverage effect: upward spikes in policy uncertainty trigger disproportionately larger volatility surges than equivalent declines in uncertainty reduce volatility. This positive uncertainty–volatility relationship is evident in all three countries. We also observe that EPU shocks generally exert a stronger impact on CCUS market volatility than CPU shocks, except in China where climate-policy signals are especially potent amid active decarbonization efforts. These findings provide novel empirical evidence linking policy uncertainty to CCUS investment risk and quantify its effect on financing conditions. By filling a crucial gap in literature, our study underscores the importance of stable, credible policy frameworks for reducing the cost of capital in low-carbon technology deployment. • Policy uncertainty (CPU/EPU) significantly increases CCUS asset volatility. • China's CPU effect is strongest; EPU drives CCUS volatility in US/Russia. • Uncertainty surges raise volatility to a greater extent than declines reduce it. • Models confirm policy uncertainty is the primary driver of CCUS volatility. • Heightened volatility significantly raises WACC and widens green bond credit spread.
Authors
- Chang Wang (ORCID: https://orcid.org/0000-0002-6475-6849)
- Shuo Hu (ORCID: https://orcid.org/0000-0003-0998-8943)
- Chengdong Yuan (ORCID: https://orcid.org/0000-0002-7327-8092)
- Dapeng Lin
- Yuanyuan Wang (ORCID: https://orcid.org/0000-0002-7629-4178)
- Kai Du (ORCID: https://orcid.org/0000-0003-0317-990X)
- Jiang Wen (ORCID: https://orcid.org/0009-0007-8669-841X)
- Liyuan Zhang (ORCID: https://orcid.org/0009-0008-5857-0264)
Institutions
- Skolkovo Institute of Science and Technology (RU)
- Peoples' Friendship University of Russia (RU)
- Lomonosov Moscow State University (RU)
- Daqing Oilfield General Hospital (CN)
- Moscow State University (TJ)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Journal of Cleaner Production
- Published
- 2025-10-22
- DOI
- https://doi.org/10.1016/j.jclepro.2025.146882
- Primary Topic
- Market Dynamics and Volatility
- Type
- article
- Field-Weighted Citation Impact
- 0.00