Recently, Professor Dayong Zhang from our institute and his collaborators published an academic perspective on climate policy uncertainty in the top international journal Nature as a Correspondence article, and a research paper entitled Quantifying Climate Policy Uncertainty in China in the Nature sub-journal Scientific Data.

1.《Nature》Summary of Achievements

This paper argues that climate policy uncertainty is a critical factor affecting global climate action, and its quantification is both crucial and challenging. Drawing on the China Climate Policy Uncertainty (CCPU) index dataset introduced in Scientific Data, the authors emphasize the importance of research on climate policy uncertainty. In particular, they highlight that climate cooperation is key to thawing China-US relations, and joint action by the two countries is vital to the success of global climate governance.

Reference

Dayong Zhang, Kun Guo, Qiang Ji. (2024) Resolve climate-policy uncertainties in the US and China. Nature 625, 663.

Original Link

https://www.nature.com/articles/d41586-024-00186-6

2.《Scientific Data》Summary of  Achievement

Based on news reports from six major Chinese media outlets from 2000 to 2022, this study combines manual auditing with the MacBERT deep learning model to construct a comprehensive set of China Climate Policy Uncertainty (CCPU) indices at the national, provincial, and city levels.

The CCPU indices effectively capture the timing and intensity of key climate policy announcements by governments at all levels in China. They provide a foundational dataset for governments, academics, and investors to monitor climate policy uncertainty more intuitively and to quantitatively assess the economic impacts of climate policy shocks using econometric models.

Reference

Yan-Ran Ma, Zhenhua Liu, Dandan Ma, Pengxiang Zhai, Kun Guo, Dayong Zhang, Qiang Ji. (2023). A news-based climate policy uncertainty index for China. Scientific Data, 10(1), 881.

Original Link

https://www.nature.com/articles/s41597-023-02817-5