China Climate Change News Indices

The daily climate change news indices for China from 2010 to 2023 are provided. Initially, based on nearly 4.9 million news articles published by nine Chinese newspapers (People's Daily, Guangming Daily, Xinhua Daily Telegraph, China News Service, Science and Technology Daily, Science Times, China Energy News, China Environment News, and Global Times) from January 2010 to November 2022, the indices were constructed using the Latent Dirichlet Allocation (LDA) model, encompassing five distinct themes: natural disasters, climate governance, energy transition, climate cooperation, and climate communication. Subsequently, the indices were updated to 2023 utilizing a naive Bayes model.<br>Cite: Ma, D., Zhang, Y., Ji, Q., Zhao, W. L., &amp; Zhai, P. (2024). Heterogeneous impacts of climate change news on China's financial markets. <i>International Review of Financial Analysis</i>, <i>91</i>, 103007.

本数据集提供2010年至2023年中国每日气候变化新闻指数。初始指数构建基于2010年1月至2022年11月期间9家中文报刊（人民日报（People's Daily）、光明日报（Guangming Daily）、新华日报（Xinhua Daily Telegraph）、中国新闻社（China News Service）、科技日报（Science and Technology Daily）、科学时报（Science Times）、中国能源报（China Energy News）、中国环境报（China Environment News）、环球时报（Global Times））发布的近490万篇新闻报道，采用隐狄利克雷分配（Latent Dirichlet Allocation, LDA）模型生成，涵盖五大主题：自然灾害、气候治理、能源转型、气候合作与气候传播。后续通过朴素贝叶斯（naive Bayes）模型将该指数更新至2023年。<br>引用：Ma, D., Zhang, Y., Ji, Q., Zhao, W. L., & Zhai, P. (2024). 气候变化新闻对中国金融市场的异质性影响。《国际金融分析评论》（International Review of Financial Analysis），第91卷，103007。