Logistics and Rural Industry Data for 30 Chinese Provinces, 2011-2022

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, created by Borui Yan and last updated in May 2026, includes variables for regional industrial structure, fiscal support for innovation, digital finance, agricultural labor productivity, and the urban-rural income gap.

Use Cases

• Modeling the mediating effect of regional industrial structure on logistics and rural industry based on the described empirical model.
• Analyzing threshold effects of agricultural labor productivity on logistics development impacts as mentioned in the description.
• Examining the moderating role of digital finance in the relationship between logistics and industrial upgrading as described.
• Investigating heterogeneous impacts across different levels of the urban-rural income gap based on the described threshold analysis.

Strengths

• Data covers a 12-year time range from 2011 to 2022.
• Geographic scope includes 30 Chinese provinces.
• License is CC-BY-4.0, permitting open reuse with attribution.

Limitations

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

Provenance

Source

figshare, author Borui Yan.

Collection Method

Constructed from statistical data, likely from official Chinese sources, for empirical modeling.

Time Range

2011 to 2022

Freshness

Last updated 2026-05-04 17:33:23; freshness should be verified.

Geography

30 provinces in China