A news-based climate policy uncertainty index for China
Chinese Academy of Sciences · Institutes of Science and Development · +5 more institutions
Abstract
Climate policies can have a significant impact on the economy. However, these policies have often been associated with uncertainty. Quantitative assessment of the socioeconomic impact of climate policy uncertainty is equally or perhaps more important than looking at the policies themselves. Using a deep learning algorithm-the MacBERT model-this study constructed indices of Chinese climate policy uncertainty (CCPU) at the national, provincial and city levels for the first time. The CCPU indices are based on the text mining of news published by a set of major newspapers in China. A clear upward trend was found in the indices, demonstrating increasing policy uncertainties in China in addressing climate change.…
Citation impact
- FWCI
- 182.21
- Percentile
- 100%
- References
- 28
Authors
7- YMYanran Ma
Chinese Academy of Sciences, Institutes of Science and Development, University of Chinese Academy of Sciences
- ZLZhenhua Liu
China University of Mining and Technology
- DMDandan Ma
Chinese Academy of Sciences, Institutes of Science and Development, University of Chinese Academy of Sciences
- PZPengxiang Zhai
Beihang University
- KGKun Guo
University of Chinese Academy of Sciences
Topics & keywords
- China
- Index (typography)
- Newspaper
- Government (linguistics)
- Climate change
- Socioeconomic status
- Regional science
- Climate policy
- Climate action