Replication data for research on the effects of U.S. export controls on disruptive innovation within AI supply chains, focusing on sanctions spillovers to China. The dataset was authored by Chaoping Xie and is hosted on the Harvard Dataverse platform. It was last updated on June 30, 2026.
Use Cases
- Analyzing the impact of U.S. sanctions on innovation patterns based on the described focus on disruptive innovation.
- Studying supply chain resilience and adaptation in the AI sector based on the described evidence from AI supply chains.
- Modeling economic spillover effects of export controls based on the described sanctions spillovers concept.
Strengths
- Dataset is associated with formal academic research, suggesting a structured methodological foundation.
- Hosted on the Harvard Dataverse platform, which implies a degree of institutional credibility and preservation.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for large-scale analyses.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Replication data for academic research; specific collection method is not detailed in the provided metadata.
- Freshness
- Last updated 2026-06-30 12:57:52; freshness should be verified.
- Geography
- Focus is on U.S. export controls and China, suggesting a U.S.-China bilateral scope.