Logistics Factors in the High-Quality Development of Regional Economy: Evidence from Hubei Province, China
DOI:
https://doi.org/10.64229/b4pkr457Keywords:
Development of Logistics Industry, Gray Correlation Analysis Method, Infrastructure Development, Human Resource CultivationAbstract
Against the background of accelerated transformation and upgrading of the regional economy, the development level of the logistics industry, as a key link to support industrial synergy and efficient allocation of resources, has been increasingly emphasized. In order to deeply assess the economic factors affecting the development of logistics industry in Hubei, this paper introduces the gray correlation analysis method, takes the cargo turnover as the main measurement variable, and analyzes the strength of correlation between each index and logistics development through Matlab2021a software by combining several aspects such as regional gross domestic product per capita, output of major industries, foreign trade and import and export, consumption level, scale of transportation network and employment status of the industry. The study shows that the correlation between the length of transportation routes and the number of employees is the most significant, highlighting the important role of infrastructure improvement and talent support. Hubei's logistics infrastructure continues to be optimized, and six cities have been included in the national logistics hub, showing good development potential and international competitiveness. In order to promote its further development, it is proposed to strengthen infrastructure and technology upgrading, cultivate professional talents, promote service innovation and industry integration, and other strategies, focusing on building an efficient and synergistic modern logistics network, and promoting the regional economy to realize high-quality transformation and upgrading.
References
[1]LX, Gao L. State Assessment Method of Electricity Meter Based on Grey Correlation Analysis[J]. Process Integration and Optimization for Sustainability, 2023, 7(5): 1149-1156.
[2]Han, Y., Zhao, D., & Wang, X. (2023, February 20). Where are the driving points for building a comprehensive logistics hub in western Zhengzhou Shangjie? Henan Business Daily, A06.
[3]Si, L. (2025). Development in underdeveloped regions of China: New problems, new challenges, and new paths. Journal of Wuhan University (Philosophy and Social Sciences), 78(05), 129–140.
[4]Niu, X., Qian, H., Fu, Z., et al. (2025). Countermeasures and key technological challenges for high-quality development of Yangtze River shipping. People’s Yangtze River. Advance online publication.
[5]Zhou, Q. (2025). Evaluation of low-carbon logistics efficiency in central China based on super-efficiency SBM-GML model. Resource Development and Market. Advance online publication.
[6]Yin, Y., & Lin, P. (2024). Evaluation of the logistics development potential of hub cities in Hubei Province. Journal of Hubei University of Automotive Technology, 38(02), 71–75.
[7]Dong, H. (2024). Measurement of smart logistics development level in six provinces of Central China. China Storage and Transport, (11), 136–137.
[8]Koray M,Kaya E,Keskin H M. Determining Logistical Strategies to Mitigate Supply Chain Disruptions in Maritime Shipping for a Resilient and Sustainable Global Economy[J].Sustainability,2025,17(12):5261-5261.
[9]Liu, L. (2022). Analysis of influencing factors and development of agricultural economic growth under the background of logistics. China Storage and Transport, (04), 184–185.
[10]Gong Q,Guo G. Decoupling relationship between logistics growth and carbon emissions and driving factors in Chongqing: A novel decomposition framework[J].Journal of Environmental Management,2024,370122931-122931.
[11]Nni W, Zhitao Z, Yedi Y. Association analysis of port logistics and regional economy based on gray correlation method: A case study of Zhejiang Province[C]//2013 6th International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). **'an: IEEE. 2013.
[12]Bangyong H. A Grey Correlation Analysis on Modern Rural Logistics and Rural Finance Development[C]//Innovative Computing and Information: International Conference, ICCIC 2011, Wuhan, China, September 17-18, 2011. Proceedings, Part II. Springer Berlin Heidelberg, 2011: 60-65.
[13]Wang, Y., & Bei, S. (2020). Study on the economic factors affecting the development of logistics in Jiangsu Province based on grey relational analysis. Logistics Engineering and Management, 42(11), 56–57+36.
[14]Wang, L., & Yang, F. (2021). Study on the influencing factors of logistics industry development in Hainan Province under the background of free trade port construction. China Business Theory, (16), 11–14.
[15]Zhang, K. (2022). Research on the development of smart logistics in Shanxi Province based on grey relational analysis. China Storage and Transport, (06), 155–156.
[16]Ding, Y., & Yang, B. (2021). Coordinated development of agriculture and logistics industry in Henan Province based on grey relational model. Agriculture and Technology, 41(02), 139–141.
[17]Wang, X., & Huang, M. (2020). Evaluation of logistics development level based on entropy-weighted grey relational analysis: A case study of Anhui Province. Journal of Heihe University, 11(09), 50–53.
[18]Cen, B. (2023). Evaluation of green development level and influencing factors of logistics industry in three provinces of Central China (Master’s thesis). North University of China.
[19]Qian, L., & Yao, D. (2022). Evaluation of logistics efficiency in Jiangsu Province. Cooperative Economy and Technology, (07), 23–25.
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