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A 2000-2023 dataset for measuring China's biodiversity risk
Zhang-Hangjian Chen1, Xiang Gao2, Jin Rui Yang1
1School of Economics, Anhui University, Hefei 230601, China.
Data in Brief
|May 28, 2026
Summary
Biodiversity loss poses significant risks. This study quantifies biodiversity risk in China
Area of Science:
- Environmental Science
- Financial Economics
- Data Science
Background:
- Rising extinction rates elevate biodiversity risk, impacting various economic sectors.
- Biodiversity risk is increasingly recognized as a critical factor in financial markets.
- Measuring biodiversity risk is essential, particularly in developing economies.
Purpose of the Study:
- To develop and apply novel methods for measuring biodiversity risk across macro, meso, and micro levels in the Chinese market.
- To provide a comprehensive dataset for analyzing the economic and financial implications of biodiversity risk.
- To establish a foundational resource for researchers, policymakers, and financial practitioners.
Main Methods:
- Utilized machine learning and text mining techniques for quantitative risk assessment.
- Constructed a macro-level index from official media discourse sentiment and frequency (2013-2023).
- Developed meso-level industry risk exposure indicators based on fund holdings and micro-level firm-specific metrics from annual reports (2000-2023) using an improved BERT model.
Main Results:
- Quantified biodiversity risk in the Chinese market from 2000-2023 across government, industry, and firm levels.
- Generated macro (media discourse), meso (fund holdings), and micro (firm reports) risk indicators.
- Established a foundational resource for empirical investigation of biodiversity risk's financial impacts.
Conclusions:
- The study provides a novel, multi-level framework for assessing biodiversity risk in financial markets.
- The developed indicators offer valuable insights for understanding and mitigating biodiversity-related financial exposures.
- This research supports evidence-based policymaking and financial strategy in the context of biodiversity conservation.
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