China climate policy uncertainty index. The index is constructed using approximately 1.75 million news articles from People’s Daily, Guangming Daily, Economic Daily, Global Times, Science and Technology Daily, and China News Service from 2000 to 2022. The data is categorized into national indices (daily, monthly, and yearly), provincial indices (31 provinces excluding Hong Kong, Macau, and Taiwan, with monthly and yearly data), and city indices (293 cities with monthly and yearly data). Citation: Yan-Ran Ma, Zhenhua Liu, Dandan Ma, Pengxiang Zhai, Kun Guo, Dayong Zhang, Qiang Ji*, 2023. A news-based climate policy uncertainty index for China. Scientific Data, 10, 881.

Global climate policy uncertainty was assessed using approximately 11.27 million news articles from 2000 to 2023 in twelve countries of the G20 spanning six continents: Asia (China, Japan, Korea, and India), Africa (South Africa), North America (the US and Canada), South America (Brazil), Europe (the UK, France, and Germany), and Australasia (Australia). The data is categorized into global and national indices with different frequencies including daily, weekly, and monthly intervals. Citation: Ji, Q., Ma, D., Zhai, P., Fan, Y., & Zhang, D. (2024). Global climate policy uncertainty and financial markets. Journal of International Financial Markets, Institutions and Money, 102047. Ma, D., Zhang, D., Guo, K., & Ji, Q. Coupling between global climate policy uncertainty and economic policy uncertainty. Finance Research Letters, 106180

The dataset of Chinese climate physical risk index (CCPRI) contains four sub-indices and a total index, covering the period from 1993 to 2023 for 31 provinces and 229 prefectural cities in China. LTD, HTD, ERD, EDD are four sub-indices representing the number of extreme low temperature days, the extreme high temperature days, the extreme rainfall days, and the extreme drought days in a province/city during a year. These indexes are then used to construct the general CPRI, which refers to the overall degree of climate physical risk of a province/city. Citation: Guo, K., Ji, Q., & Zhang, D. (2024). A dataset to measure global climate physical risk. Data in Brief, 54, 110502.

The dataset of global climate physical risk index (GCPRI) contains four sub-indices and a total index, covering the period from 1993 to 2023 for 170 countries. LTD, HTD, ERD, EDD are four sub-indices representing the number of extreme low temperature days, the extreme high temperature days, the extreme rainfall days, and the extreme drought days in a country during a year. These indexes are then used to construct the general CPRI, which refers to the overall degree of climate physical risk of a country. Citation: Guo, K., Ji, Q., & Zhang, D. (2024). A dataset to measure global climate physical risk. Data in Brief, 54, 110502.