Economy or Climate? Impact of Policy Uncertainty on Price Volatility of China’s Carbon Emission Trading Markets DOI Creative Commons
Zhuoer Chen, Xiaohui Gao, Nan Chen

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(10), P. 2448 - 2448

Published: May 10, 2025

Based on the economic and climate policy uncertainty index price data of major carbon emission trading markets from May 2014 to August 2023, this paper uses generalized autoregressive conditional heteroskedasticity mixing sampling (GARCH-MIDAS) model analyze impact market volatility. The results indicate following: (1) volatility in Hubei is influenced by both uncertainties, while Guangdong only affected uncertainty, Shenzhen uncertainty. (2) Before establishment national market, prices were impacted uncertainties. (3) On contrary, after was not above research conclusions are helpful for regulatory agencies policymakers assess future direction pilot provide an empirical basis preventing resolving risks. At same time, proposed GARCH-MIDAS effectively solves inconsistent frequency problem volatility, providing a new perspective study factors affecting

Language: Английский

From Uncertainty to Sustainability: How Climate Policy Uncertainty Shapes Corporate ESG? DOI Creative Commons
Haiyan Ge,

Xiaoxi Zhang

International Review of Economics & Finance, Journal Year: 2025, Volume and Issue: 98, P. 104011 - 104011

Published: Feb. 27, 2025

Language: Английский

Citations

1
How intelligent manufacturing improves corporate ESG performance: A three-dimensional analysis based on “Environment,” “Society,” and “Governance” DOI

Zhang Wei-liang,

Haoran Li, Qian Lei

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 125171 - 125171

Published: April 1, 2025

Language: Английский

Citations

0
Economy or Climate? Impact of Policy Uncertainty on Price Volatility of China’s Carbon Emission Trading Markets DOI Creative Commons
Zhuoer Chen, Xiaohui Gao, Nan Chen

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(10), P. 2448 - 2448

Published: May 10, 2025

Based on the economic and climate policy uncertainty index price data of major carbon emission trading markets from May 2014 to August 2023, this paper uses generalized autoregressive conditional heteroskedasticity mixing sampling (GARCH-MIDAS) model analyze impact market volatility. The results indicate following: (1) volatility in Hubei is influenced by both uncertainties, while Guangdong only affected uncertainty, Shenzhen uncertainty. (2) Before establishment national market, prices were impacted uncertainties. (3) On contrary, after was not above research conclusions are helpful for regulatory agencies policymakers assess future direction pilot provide an empirical basis preventing resolving risks. At same time, proposed GARCH-MIDAS effectively solves inconsistent frequency problem volatility, providing a new perspective study factors affecting

Language: Английский

Citations

0