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This is a Quantitative Study study.

November 4, 2025Transportation JournalOpen Access

The Impact of Railway Development on High‐Quality Development of China's Logistics Industry: An Analysis Based on the Entropy‐ TOPSIS Method and Econometric Regression

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Railway logistics significantly improve logistics efficiency in China.
Econometric regression highlights key metrics affecting logistics outcomes, such as freight volumes.
Entropy-TOPSIS methods were used to evaluate provincial logistics development levels throughout the study.
Increasing investment in railway infrastructure is critical for advancing high-quality logistics systems.

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Implication

Analysis demonstrates that railway logistics enhance efficiency in China’s logistics industry, indicating the need for better infrastructure investment.

Cite This Study

Song et al. (2025) studied this question.

synapsesocial.com/papers/690945348f2297dc13532f9c https://doi.org/10.1002/tjo3.70014

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Implication

Analysis demonstrates that railway logistics enhance efficiency in China’s logistics industry, indicating the need for better infrastructure investment.

The Impact of Railway Development on High‐Quality Development of China's Logistics Industry: An Analysis Based on the Entropy‐ TOPSIS Method and Econometric Regression

Key Points

Discussion

Implication

Cite This Study

The Impact of Railway Development on High‐Quality Development of China's Logistics Industry: An Analysis Based on the Entropy‐ TOPSIS Method and Econometric Regression

Key Points

Discussion

Implication

Cite This Study

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