Collaborative Research on Logistics Hub Construction and Industrial Structure Upgrading in Zhengzhou
Abstract
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
Full Text:
PDFReferences
[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
Refbacks
- There are currently no refbacks.