Logistics Industry Development Measurement Index System for Rural China

Borui Yan's 55.0 KB dataset, published under CC-BY-4.0 on figshare in May 2026, provides a measurement index system for assessing high-quality logistics development. The data likely contains structured metrics for analyzing logistics industry performance, particularly in rural contexts. This system was used in research examining the role of logistics in rural industrial upgrading through technological innovation and digital finance.

Use Cases

• Constructing composite indices for logistics industry quality based on the described measurement system.
• Analyzing the relationship between logistics development and agricultural labor productivity using threshold regression methods mentioned in the description.
• Investigating the impact of logistics on the urban-rural income gap as referenced in the associated figures.
• Modeling the moderating effects of technological innovation and digital finance on rural industrial upgrading.

Strengths

• Explicitly licensed under the permissive CC-BY-4.0 license.
• Provides a structured measurement index system for a specific research domain.
• Last updated date of 2026-05-04 is provided.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• 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 55.0 KB, indicating limited scope.

Provenance

Source

figshare, author Borui Yan.

Collection Method

Likely compiled for academic research on logistics and rural development.

Time Range

null

Freshness

Last updated 2026-05-04 17:33:21; freshness should be verified.

Geography

The research context suggests a focus on China, particularly rural areas.