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Chinese Electric Vehicle Policy Database: A Dataset of Policy Goals, Instruments, and Supply Chain Stages
Peng Gao1, Wangyang Hu2, Yuhao Ba3
1Lee Kuan Yew School of Public Policy, National University of Singapore, Singapore, Singapore.
Scientific Data
|July 1, 2026
Summary
China
Area of Science:
- Economic Policy
- Industrial Policy
- Clean Technology Transitions
Background:
- China's electric vehicle (EV) sector has seen rapid growth.
- Existing empirical resources on China's EV policies are fragmented.
- A comprehensive dataset is needed to understand policy evolution.
Purpose of the Study:
- To create a comprehensive database of China's electric vehicle policies.
- To provide a structured resource for analyzing policy design and evolution.
- To support comparative research on industrial policy and clean technology transitions.
Main Methods:
- Compiled a database of 7,300 policy documents from 2000-2023.
- Annotated policies by issuing agency, level, date, goals, instruments, and scope.
- Employed rule-based filters, model-assisted coding, and manual checks for validation.
- Achieved high accuracy in EV-specific identification, supply-chain labeling, and coding of instruments and goals.
Main Results:
- Developed a comprehensive dataset covering national, provincial, and municipal EV policies.
- Included both direct EV-specific policies and indirect measures influencing the EV supply chain.
- Classified policies based on goals, instruments, and supply-chain targets using theory-informed frameworks.
- Validated the dataset with high technical accuracy.
Conclusions:
- The database offers broad coverage, balanced central-local representation, and a whole-supply-chain perspective.
- Enables detailed analysis of policy design, sequencing, and diffusion.
- Provides a crucial foundation for research on industrial policy and clean energy transitions in China and globally.
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