Baseline Regression Results for Rural Industrial Upgrading in China, 2011-2022

Borui Yan's dataset contains regression results analyzing the impact of high-quality logistics development on rural industrial upgrading in China. The data covers 30 provinces from 2011 to 2022 and examines mediating, moderating, and threshold effects of factors like regional industrial structure and digital finance. The file is 5.5 KB in size and was last updated on May 4, 2026.

Use Cases

• Modeling the impact of logistics development on industrial structure based on provincial statistical data.
• Analyzing mediating effects of regional industrial structure on rural development outcomes.
• Investigating threshold effects of agricultural labor productivity and the urban-rural income gap.
• Examining how fiscal support for technological innovation and digital finance moderate economic relationships.

Strengths

• Data covers a 12-year time range from 2011 to 2022.
• Analysis is based on statistical data from 30 provinces in China.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is very small at 5.5 KB, indicating it likely contains only model results, not the underlying raw data.

Provenance

Source

figshare, author Borui Yan.

Collection Method

Constructed from an empirical model using provincial statistical data.

Time Range

2011 to 2022

Freshness

Last updated 2026-05-04 17:33:24; freshness should be verified.

Geography

30 provinces in China