Urban Industrial Spatial Structure and Carbon Emissions for 285 Chinese Cities

Panel data from 285 Chinese cities used to model the impact of industrial agglomeration on carbon emissions via a spatio-temporal framework. The dataset, uploaded by Rui Li on figshare, was last updated on March 17, 2026. It likely contains variables for industrial agglomeration, carbon emissions, and city identifiers.

Use Cases

• Modeling the direct and spillover effects of industrial agglomeration on carbon emissions based on the described spatial econometric framework.
• Analyzing spatio-temporal heterogeneity in emission impacts across different Chinese regions as highlighted in the study.
• Evaluating urban planning policies by simulating how optimized industrial spatial structure affects emissions in specific cities.

Strengths

• Data covers 285 Chinese cities, providing a broad urban sample.
• Analysis framework integrates spatial spillover effects and spatio-temporal heterogeneity.
• Dataset is openly available under a CC0-1.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 612.3 KB file size suggests a limited scope of data.

Provenance

Source

Rui Li via figshare.

Collection Method

Likely compiled from official city-level statistics for analysis.

Freshness

Last updated 2026-03-17 17:42:37; freshness should be verified.

Geography

285 cities in China, with specific regional analysis mentioned.