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一个基于新闻的中国气候政策不确定性指数

Yan-Ran Ma^1,2, Zhenhua Liu³, Dandan Ma^1,2

¹Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China.

Scientific data

|December 8, 2023

概括

根据基于新闻文本挖掘的新指数,中国气候政策的不确定性 (CCPU) 正在上升. 这一数据集揭示了区域差异,并有助于理解中国的气候政策动态和社会经济影响.

科学领域:

环境政策环境政策
经济学经济学经济学
数据科学数据科学数据科学

背景情况:

气候政策对经济产生重大影响,但往往不确定.
量化气候政策不确定性的社会经济影响至关重要.
了解中国的气候政策格局对于全球气候行动至关重要.

研究的目的:

在国家,省和城市层面构建中国气候政策不确定性 (CCPU) 的第一个指数.
分析中国气候政策不确定性的趋势和区域差异.
为了解气候政策动态和社会经济影响提供数据源.

主要方法:

使用了一个深度学习算法,MacBERT模型.
在中国主要报纸的新闻文章上使用文本挖掘.
在多个地理尺度上开发了CPU指数.

主要成果:

在CPU指数中观察到显著的上升趋势,表明不确定性日益增加.
在次国家CPU指数中存在显著的区域异质性.
该研究成功生成了新的CPU数据集.

结论:

中共共产党指数为中国不断变化的气候政策格局提供了有价值的见解.
数据集可以为政府,学术和投资决策提供信息.
未来的研究可以探索CPU和社会经济因素之间的经验联系.

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