LIN, MINGTONG's dataset measures the implementation rate of China's 'Double Reduction' education policy across local provinces and analyzes influencing factors. The dataset was last updated on 2026-05-08 and is hosted by Harvard Dataverse. It likely contains metrics for policy adoption and variables for regional analysis.
Use Cases
- Modeling provincial policy adoption rates based on described regional factors
- Analyzing correlations between implementation levels and other regional characteristics
- Benchmarking policy progress across different provinces in China
Strengths
- Dataset focuses on a specific, high-profile national education policy
- Analysis includes both implementation rates and influencing factors as described
- Hosted on the authoritative Harvard Dataverse platform
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Likely compiled from official reports or surveys measuring policy implementation.
- Time Range
- null
- Freshness
- Last updated 2026-05-08 01:37:58; freshness should be verified
- Geography
- Local provinces in China