The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
A news-based climate policy uncertainty index for China
Open accessAbstract
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. There is also evidence of clear regional heterogeneity in subnational indices. The CCPU dataset can provide a useful source of information for government actors, academics and investors in understanding the dynamics of climate policies in China. These indices can also be used to investigate the empirical relationship between climate policy uncertainty and other socioeconomic factors in China.
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1 retracted
Xu, X., Huang, S., Lucey, B. M., & An, H. (2023) · International Review of Financial Analysis · doi:10.1016/j.irfa.2023.102671 · Cited by 161
RetractedBERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018) · arXiv · doi:10.48550/arxiv.1810.04805 · Cited by 73,173
Measuring Economic Policy Uncertainty*
Baker, S. R., Bloom, N., & Davis, S. J. (2016) · The Quarterly Journal of Economics · doi:10.1093/qje/qjw024 · Cited by 12,458
Eddy, S. R. (1996) · Current Opinion in Structural Biology · doi:10.1016/s0959-440x(96)80056-x · Cited by 1,430
Pre-Training With Whole Word Masking for Chinese BERT
Cui, Y., Che, W., Liu, T., Qin, B., & Yang, Z. (2021) · IEEE/ACM Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslp.2021.3124365 · Cited by 1,181
Ilhan, E., Sautner, Z., & Vilkov, G. (2021) · The Review of Financial Studies · doi:10.1093/rfs/hhaa071 · Cited by 1,136
Ilhan, E., Sautner, Z., & Vilkov, G. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3204420 · Cited by 1,136
Climate Change: The Ultimate Challenge for Economics
Nordhaus, W. (2019) · American Economic Review · doi:10.1257/aer.109.6.1991 · Cited by 941
Measuring economic policy uncertainty in China
Huang, Y., & Luk, P. (2020) · China Economic Review · doi:10.1016/j.chieco.2019.101367 · Cited by 711
Dissecting climate risks: Are they reflected in stock prices?
Faccini, R., Matin, R., & Skiadopoulos, G. (2023) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2023.106948 · Cited by 445
Metadata
- Authors
- Ma, Y.-R., Liu, Z., Ma, D., Zhai, P., Guo, K., Zhang, D., & Ji, Q.
- Venue
- Scientific Data
- Published
- 2023-12-08
- Volume
- 10
- Issue
- 1
- Pages
- 881-881
- ISSN
- 2052-4463 (ISSN-L)
- OpenAlex
- W4389485450
- Cited by
- 406
- References
- 24
- Type
- data paper
- Language
- en
- Open access
- gold
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- Ma, Y.-R., Liu, Z., Ma, D., Zhai, P., Guo, K., Zhang, D., & Ji, Q. (2023). A news-based climate policy uncertainty index for China. Scientific Data. https://doi.org/10.1038/s41597-023-02817-5
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