Climate Change Research ›› 2024, Vol. 20 ›› Issue (3): 361-372.doi: 10.12006/j.issn.1673-1719.2024.034

• Global Climate Governance • Previous Articles     Next Articles

China climate policy uncertainty index: construction, analysis and application prospects

CHEN Guo-Rong1(), WANG Su-Sa1, DENG Jing1(), HOU Hao-Yi1, YIN Shu-Qi1, FENG Wei1, QU Hao-Ze2   

  1. 1 School of Economics & Management, Beijing Forestry University, Beijing 100083, China
    2 The School of Technology, Beijing Forestry University, Beijing 100083, China
  • Received:2024-02-22 Revised:2024-03-27 Online:2024-05-30 Published:2024-04-28

Abstract:

To ensure the timely achievement of the “dual carbon” goal, China’s government has accelerated the formulation and implementation of climate related policies. Since the climate policy uncertainty (CPU) has a significant impact on the social economy, an accurate measurement of CPU is of great significance. Based on keywords frequency of climate policy uncertainty from 13 newspapers in China from 2008 to 2023, text mining technique was adopted to construct the China CPU (CCPU) index, whose robustness and effectiveness were tested through time interval replacement and comparisons of domestic and international indices. The results show that China’s policies to address climate change can be divided into four stages: the initial stage, the development stage, the consolidation stage, and the deepening stage. CCPU can accurately reflect the development process of each stage. Compared with the US CPU, CCPU index can reflect not only major global climate policy events related to China, but also China’s unique climate policy changes and development characteristics. This index can provide reference and guidance to government in formulating climate policies, to businesses in adapting climate change, to financial institutions in managing climate risks, and to investors in improving investment efficiency in the future.

Key words: China, Climate policy, Uncertainty index, Text mining

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