<p>Moderating Effect Test Results.</p>

Statistical data from 30 provinces in China from 2011 to 2022 explores the impact of high-quality logistics on rural industrial upgrading. The dataset, authored by Borui Yan and shared under a CC-BY-4.0 license, includes analysis of mediating, moderating, and threshold effects of factors like digital finance and agricultural labor productivity. Results indicate logistics development significantly promotes rural industrial upgrading, with effects amplified by fiscal support for innovation.

Use Cases

• Analyze the mediating effect of regional industrial structure on logistics and rural development.
• Test the moderating effect of fiscal support for technological innovation on the primary relationship.
• Examine the threshold effects of agricultural labor productivity on the impact of logistics development.
• Investigate the heterogeneous impacts of logistics development across different levels of the urban-rural income gap.
• Model the role of digital finance in amplifying the effect of logistics on industrial upgrading.

Strengths

• Data covers a 12-year time range from 2011 to 2022.
• Geographic scope includes 30 provinces in China.
• Analysis includes multiple statistical effects: mediating, moderating, and threshold.
• Results are described as robust after incorporating control variables.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 5.5 KB, indicating limited scope or aggregated summary data.

Provenance

Source

figshare, author Borui Yan.

Collection Method

Constructed from an empirical model utilizing statistical data.

Time Range

2011 to 2022

Freshness

Last updated 2026 05 04 17:33:26; freshness should be verified.

Geography

30 provinces in China