What question did this study set out to answer?

The aim is to analyze the spatial agglomeration evolution of China’s logistics industry and identify its influencing factors based on city-level data.

June 21, 2026SystemsOpen Access

Characteristics and Influencing Factors of Spatial Agglomeration Evolution in China’s Logistics Industry: An Analysis Based on City-Level Panel Data

View Full Paper

Ask AI

Bookmark

The aim is to analyze the spatial agglomeration evolution of China’s logistics industry and identify its influencing factors based on city-level data.
Utilized composite location entropy and kernel density estimation for spatiotemporal analysis
Applied geographic detectors and geographically weighted regression to examine driving mechanisms
Analyzed city-level panel data from 2010 to 2023
Logistics industry agglomeration shows a decreasing gradient from east to west with narrowing regional disparities over time
Significant positive spatial autocorrelation identified, with high-high and low-low clusters predominating
Transportation accessibility emerged as the main influencing factor, with varied effects based on regional characteristics

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

Analysis explores the evolution and influences of logistics industry agglomeration in China, suggesting pathways for improvement.

Cite This Study

Huang et al. (2026) studied this question.

synapsesocial.com/papers/6a37805e24f042ddf4c5a7a4 https://doi.org/10.3390/systems14060702

View Full Paper

Ask AI

Bookmark

Characteristics and Influencing Factors of Spatial Agglomeration Evolution in China’s Logistics Industry: An Analysis Based on City-Level Panel Data

Key Points

Discussion

Implication

Cite This Study

Characteristics and Influencing Factors of Spatial Agglomeration Evolution in China’s Logistics Industry: An Analysis Based on City-Level Panel Data

Key Points

Discussion

Implication

Cite This Study

Keep reading

Keep reading