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Collaborative Research on Logistics Hub Construction and Industrial Structure Upgrading in Zhengzhou

Shuyi Hou, hayoung ho*

Abstract


This study investigates the coordinated relationship between logistics hub construction and industrial structure upgrading in
Zhengzhou, a national comprehensive transportation hub in China. Using panel data from 2011 to 2021, the entropy weight method and grey
relational analysis are combined to measure the synergy degree between the two systems. The results indicate that the overall coordination
level follows an inverted U-shaped trajectory, evolving from moderate coordination to high coordination and then declining back to a moderate level. Logistics employment and importexport volume are found to be key drivers of industrial structure upgrading, while the expansion
of the tertiary industry significantly supports logistics hub development. These findings provide empirical evidence for promoting high-quality
and coordinated development in inland hub cities.

Keywords


Logistics hub; Industrial structure upgrading; Entropy weight method; Grey relational analysis; Synergy degree

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References


[1] Zhao, L., Zhou, J., Li, H., Yang, P., & Zhou, L. (2021). Optimizing the design of an intra-city metro logistics system based on a hub-andspoke network model. Tunnelling and Underground Space Technology, 116, 104086.

[2] Ma, Z., Zheng, X., Liang, H., & Luo, P. (2024). Logistics center selection and logistics network construction from the perspective of urban geographic information fusion. Sensors, 24(6), 1878.

[3] Wei, H., & Dong, M. (2019). Import-export freight organization and optimization in the dry-port-based cross-border logistics network

under the Belt and Road Initiative. Computers & Industrial Engineering, 130, 472484.

[4] Li, L., Wang, J., Wang, H., Jin, X., & Du, L. (2023). Intermodal transportation hub location optimization with government subsidies under the Belt and Road Initiative. Ocean & Coastal Management, 231, 106414.

[5] Yang, C., Lan, S., & Tseng, M.-L. (2018). Coordinated development path of metropolitan logistics and economy in Belt and Road using

DEMATELBayesian analysis. International Journal of Logistics Research and Applications, 22(1), 124.

[6] Li, J.-F., Liu, W.-W., Yu, X.-S., Sun, H.-X., & Wang, D.-F. (2023). Research on the spatialtemporal evolution and influence mechanism

of logistics network structure in Zhengzhou metropolitan area. IEEE Access, 11, 4159641608.

[7] Fan, Z., Li, X., Gao, Q., & Li, S. (2025). Optimizing reverse logistics network for waste electric vehicle batteries: The impact analysis

of Chinese government subsidies and penalties. Sustainability, 17(9), 3885.




DOI: http://dx.doi.org/10.70711/memf.v3i3.8855

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