Machine-Learning Estimated Carbon Emissions for Chinese Counties

Chinese county-level regions are covered by this dataset of carbon emissions estimated using machine learning methods. It provides granular data for sub-national analysis, supporting research into regional environmental impacts. The dataset is openly available under a Creative Commons license.

Use Cases

• Analyzing regional carbon intensity disparities across Chinese counties based on machine-learning estimates.
• Modeling local environmental policy impacts using granular county-level emission data.
• Benchmarking county performance against national carbon reduction targets.
• Integrating estimated emissions into spatial analyses for urban and rural planning.

Strengths

• Provides data at a granular county-level scale for China.
• Estimated using a machine learning method, suggesting a systematic approach.
• Available under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column names and specific data structure are unknown, limiting detailed understanding.
• The dataset size is given but the exact row count is not specified.
• The future 'last updated' date (2026-03-24) suggests metadata may be inaccurate or provisional.

Provenance

Source

Hong Zhang

Collection Method

Estimated by machine learning method.

Freshness

2026-03-24

Geography

China, county-level regions