Spatial Association Types for Carbon Governance and Public Health in China, 2012–2023

2012–2023 data on changes in spatial association types for the coupling coordination degree between carbon emission governance and public health efficiency in China. The dataset was authored by Yiwen Wei and is available in XLS format under a CC-BY-4.0 license.

Use Cases

• Analyze spatial clustering patterns of carbon governance and public health efficiency based on the described coupling coordination degree.
• Model temporal changes in regional coordination between environmental and health policies from 2012 to 2023.
• Identify spatial association types (e.g., high-high, low-low clusters) for regional policy targeting.
• Conduct comparative studies on provincial-level performance in balancing emissions control with health system efficiency.

Strengths

• Data covers a 12-year time range (2012–2023).
• Explicitly focuses on the spatial relationship between two policy domains.
• Available under a permissive CC-BY-4.0 license.

Limitations

• Dataset is very small at 5.5 KB, indicating limited scope or detail.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality and variable definitions must be verified.

Provenance

Source

Yiwen Wei via figshare.

Time Range

2012–2023

Freshness

Last updated 2026-06-02 17:37:37; freshness should be verified.

Geography

China