Research on the Evaluation of Urban Logistics Innovation Capacity under the Background of New Qualitative Productive Forces

Authors

  • Xinyu Liu

DOI:

https://doi.org/10.62051/ijsspa.v5n3.13

Keywords:

Factor Analysis Method, Systematic Cluster Analysis Method, Evaluation of Logistics Innovation Capacity

Abstract

Based on the development background of new qualitative productive forces, this paper constructs an innovation capacity indicator system from five aspects: regional economic capacity, logistics operation capacity, logistics infrastructure, innovation drive capacity, and green development capacity. It employs the factor analysis method to conduct a comprehensive quantitative evaluation and ranking of the logistics innovation capacity of 18 cities in Henan Province. Additionally, using the systematic cluster analysis method, the logistics innovation capacity of each city is classified into three gradients. The research conclusions indicate significant differences in logistics innovation capacity among the 18 cities in Henan Province. Furthermore, suggestions are proposed in terms of scientific and technological talents and investment, logistics infrastructure equipment construction, and green logistics to promote the regional synergy of logistics in various cities in Henan Province and achieve innovative development.

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References

[1] Wang Wenwen, Meng Fanhui, Cheng Zitun. Measurement and Spatio-temporal Evolution Analysis of Regional Logistics Capacity under the Background of High-quality Development: A Case Study of the Wanjiang Urban Belt [J]. Journal of Shijiazhuang Tiedao University (Social Science Edition), 2022, 16(3): 24-29.

[2] Wang Xiaoli, Zhou Xudong. Evaluation of Urban Logistics Capacity under the Background of High-quality Development [J]. Management Engineer, 2024, 29(03): 25-31. DOI: 10.19327/j.cnki.zuaxb.1007-1199.2024.03.003.

[3] Rao Shuwen. Evaluation and Improvement Suggestions of Regional Logistics Capacity in Fujian Province Based on Entropy Weight-TOPSIS Method [J]. Logistics Science and Technology, 2022, 45(18): 45-49.

[4] Zhang Guangsheng, Gao Shufang. Spatio-temporal Evaluation of Provincial Logistics Capacity in China Based on AHP Model [J]. Logistics Science and Technology, 2024, 47(11): 28-31. DOI: 10.13714/j.cnki.1002-3100.2024. 11.006.

[5] Sun Chunxiao, Pei Xiaozhong, Liu Chengjun, et al. Spatial Network Characteristics and Driving Mechanism of Urban Logistics Innovation in China [J]. Geographical Research, 2021, 40(5): 1354-1371.

[6] Xie Xinyu, Wang Jian. Analysis of the Spatio-temporal Pattern and Dynamic Evolution of Technological Innovation in China's Logistics Industry [J]. Journal of Industrial Technological Economics, 2022, 41(8): 46-51.

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Published

26-12-2024

Issue

Section

Articles

How to Cite

Liu, X. (2024). Research on the Evaluation of Urban Logistics Innovation Capacity under the Background of New Qualitative Productive Forces. International Journal of Social Sciences and Public Administration, 5(3), 90-102. https://doi.org/10.62051/ijsspa.v5n3.13