China Soil Arsenic Pollution Burden and Inequality from Industrial Transfer, 2000-2020

445.0 MB of data from a study combining multisource soil data, input-output analysis, and geospatial modelling to examine inequality in soil arsenic pollution burdens across China's provinces from 2000 to 2020. The work, authored by Ziyang Li and shared on figshare, shows the inequality index in recipient provinces rose 4.6-fold to 0.46, while sending provinces' index declined. Scenario simulations indicate land-use optimization could reduce overall inequality by about 25%.

Use Cases

• Modeling spatiotemporal dynamics of soil arsenic pollution based on provincial-scale data from 2000-2020
• Analyzing drivers of pollution inequality based on secondary industry and mining contributions
• Simulating land-use optimization scenarios for eco-economic equilibrium based on the described modelling framework
• Assessing the redistribution of environmental costs associated with industrial transfer based on the inequality index trends

Strengths

• Data spans a 20-year time range from 2000 to 2020.
• Analysis is conducted at China's provincial scale.
• Includes scenario simulations showing a potential 25% reduction in inequality.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare, authored by Ziyang Li.

Collection Method

Combines multisource soil data, input-output analysis, and geospatial modelling.

Time Range

2000 to 2020

Freshness

Last updated 2026-04-19 03:04:55; freshness should be verified.

Geography

China, provincial scale