A news-based climate policy uncertainty index for China
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....
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-12-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-02817-5 |
| _version_ | 1797398236699295744 |
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| author | Yan-Ran Ma Zhenhua Liu Dandan Ma Pengxiang Zhai Kun Guo Dayong Zhang Qiang Ji |
| author_facet | Yan-Ran Ma Zhenhua Liu Dandan Ma Pengxiang Zhai Kun Guo Dayong Zhang Qiang Ji |
| author_sort | Yan-Ran Ma |
| collection | DOAJ |
| description | 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. 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. |
| first_indexed | 2024-03-09T01:21:42Z |
| format | Article |
| id | doaj.art-b299ea0619e84efdafc34f5236477bfc |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-03-09T01:21:42Z |
| publishDate | 2023-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-b299ea0619e84efdafc34f5236477bfc2023-12-10T12:06:34ZengNature PortfolioScientific Data2052-44632023-12-011011810.1038/s41597-023-02817-5A news-based climate policy uncertainty index for ChinaYan-Ran Ma0Zhenhua Liu1Dandan Ma2Pengxiang Zhai3Kun Guo4Dayong Zhang5Qiang Ji6Institutes of Science and Development, Chinese Academy of SciencesSchool of Economics and Management, China University of Mining and TechnologyInstitutes of Science and Development, Chinese Academy of SciencesSchool of Economics and Management, Beihang UniversitySchool of Economics and Management, University of Chinese Academy of SciencesResearch Institute of Economics and Management, Southwestern University of Finance and EconomicsInstitutes of Science and Development, Chinese Academy of SciencesAbstract 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.https://doi.org/10.1038/s41597-023-02817-5 |
| spellingShingle | Yan-Ran Ma Zhenhua Liu Dandan Ma Pengxiang Zhai Kun Guo Dayong Zhang Qiang Ji A news-based climate policy uncertainty index for China Scientific Data |
| title | A news-based climate policy uncertainty index for China |
| title_full | A news-based climate policy uncertainty index for China |
| title_fullStr | A news-based climate policy uncertainty index for China |
| title_full_unstemmed | A news-based climate policy uncertainty index for China |
| title_short | A news-based climate policy uncertainty index for China |
| title_sort | news based climate policy uncertainty index for china |
| url | https://doi.org/10.1038/s41597-023-02817-5 |
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