<p>Robustness Test Results.</p>

Statistical data from 30 provinces in China from 2011 to 2022, used to analyze the impact of high-quality logistics development on rural industrial upgrading. The dataset, authored by Borui Yan and last updated in May 2026, contains results from an empirical model examining mediating, moderating, and threshold effects of factors like digital finance and agricultural labor productivity.

Use Cases

• Modeling the impact of logistics development on industrial upgrading based on provincial panel data.
• Analyzing mediating effects of regional industrial structure on economic outcomes.
• Examining threshold effects of agricultural labor productivity and the urban-rural income gap.
• Testing the moderating role of fiscal support for technological innovation and digital finance.

Strengths

• Data covers a 12-year time range from 2011 to 2022.
• Analysis includes robustness tests with control variables.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 9.5 KB, indicating limited scope.

Provenance

Source

Borui Yan via figshare.

Collection Method

Constructed from statistical data, likely from official Chinese sources.

Time Range

2011 to 2022

Freshness

Last updated 2026-05-04 17:33:32; freshness should be verified.

Geography

30 provinces in China