Analysis of Factors Influencing Rural Logistics Development in Shanxi Province, China
DOI:
https://doi.org/10.64229/qka05j94Keywords:
Rural logistics, Policy-oriented rural development framework, Grey relational analysis, Influencing factors, Logistics infrastructure, Shanxi ProvinceAbstract
Rural logistics plays a critical role in supporting rural revitalization and economic development in China. This study aims to identify the key factors influencing rural logistics development in Shanxi Province, China, and to assess their relative importance. Based on a review of existing literature and policy reports, the study constructs a conceptual framework linking infrastructure, service capacity, and logistics outcomes. Using Grey Relational Analysis (GRA) on nine years of provincial data, the research evaluates the correlation between multiple factors-including road and railway infrastructure, postal and express services, and logistics-related economic indicators-and the overall development of rural logistics. The results indicate that road infrastructure and express delivery services exhibit the highest correlation with logistics development, whereas other factors, such as railway mileage and logistics value-added, show moderate associations. These findings provide empirical evidence supporting the prioritization of infrastructure and service improvements to enhance rural logistics. The study contributes to the literature by combining GRA with a structured analysis of causal mechanisms in the rural logistics context and by offering a province-specific perspective that can inform both domestic and comparative research on rural supply chain development.
References
[1]Xue JS, Li QB. Development trends of rural logistics research: A visual analysis based on CiteSpace. Jiangsu Commercial Forum, 2025, 4, 45-47+71. DOI: 10.13395/j.cnki.issn.1009-0061.2025.04.008
[2]Cao DF. Research on the collaborative development pathways of agricultural E-commerce platforms and rural logistics industry under the policy-oriented rural development framework. China Business Review, 2023, 24, 119-122. DOI: 10.19699/j.cnki.issn2096-0298.2023.24.119
[3]Zheng J, Zhang Q, Yang WY, Liu XH, Yan H, Danzeng ZX. Research on the development of rural E-commerce logistics in Tibet under the policy-oriented rural development framework. Modern Business, 2023, 19, 64-67. DOI: 10.14097/j.cnki.5392/2023.19.042
[4]Song YL, Yuan PJ. Current status, challenges, and countermeasures for integrated urban-rural logistics development. Logistics Technology, 2024, 47(9), 31-33. DOI: 10.13714/j.cnki.1002-3100.2024.09.008
[5]Liu LN, Luo JW, Zhang TH, Wang YH. Research on the development countermeasures of rural E-commerce logistics in Gao County, Yibin City, Sichuan Province under the rural revitalization strategy. Scientific and Social Research, 2025, 7(11), 85-93. DOI: 10.26689/SSR.V7I11.12949
[6]Li N, Huang WY, Zhao H, Qiu LH, Li JJ, Li JD. Analysis and planning of rural logistics development. Internet of Things Technology, 2014, 4(5), 47-50. DOI: 10.16667/j.issn.2095-1302.2014.05.034
[7]Expression of concern: The impact of high-quality development of rural logistics on consumption: Energy and healthcare consumption as an example. Frontiers in Energy Research, 2025, 13, 131701369-1701369. DOI: 10.3389/fenrg.2023.1321910
[8]Du J. Writing a new chapter of smooth urban and rural transportation. Shanxi Daily, 2025, 011. DOI: 10.28713/n.cnki.nshxr.2025.001048
[9]Zhao L, Xiao G, Yao EJ. A study on the location of multilevel distribution nodes in rural logistics based on the spoke-and-axle structure. Journal of Urban Planning and Development, 2025, 151(4), 9. DOI: 10.1061/JUPDDM.UPENG-5335
[10]Luo QQ, Wu YZ, Zhang XL, Wei H. Dilemmas and countermeasures of fruit and vegetable cold chain logistics development in Gansu Province under the background of rural revitalization. Economic & Trade Update, 2025, 22(2), 27-30. DOI: 10.3969/j.issn.1672-2949.2025.02.005
[11]Gu YF, Shang MR. Research on the dilemmas and responses of rural smart logistics construction under the rural revitalization strategy. Logistics Engineering and Management, 2025, 48(4), 57-59. DOI: 10.13714/j.cnki.1002-3100.2025.04.015
[12]Jiang YG, Zhao ZY, Zhao XJ. Green development efficiency and its determinants in China's agricultural product circulation industry: An empirical analysis based on panel data from 26 provinces. Environmental and Sustainability Indicators, 2025, 27, 100770. DOI: 10.1016/J.INDIC.2025.100770
[13]Zhou X. Research on rural logistics development in northern fujian under rural revitalization. Logistics Technology, 2022, 45(1), 125-127. DOI: 10.13714/j.cnki.1002-3100.2022.01.020
[14] Bai D, Jiang ZP. Research on the collaborative development path of rural e-commerce and logistics under the background of rural revitalization. Journal of Taiyuan City Vocational and Technical College, 2025, 1, 30-32. DOI: 10.16227/j.cnki.tycs.2025.0028
[15]Akinade E, Rosemary RC. 42. Young adult location and logistics consideration and rural environments: The Y'all care evaluation. Journal of Adolescent Health, 2025, 76(3), S22-S23. DOI: 10.1016/J.JADOHEALTH.2024.11.058
[16]Qi CW. Multi-objective Optimization-based algorithm for selecting the optimal path of rural multi-temperature zone cold chain dynamic logistics intermodal transportation. International Journal of Computational Intelligence Systems, 2024, 17(1), 224-224. DOI: 10.1007/S44196-024-00616-3
[17]Xue YQ, Tu HK, Zhang B, Tan CF, Kong QF, Guan HZ. The operation mechanism of integrating urban and rural passenger transportation and logistics under the strategy of rural revitalization-Case study of Lianhua County, China. Case Studies on Transport Policy, 2024, 16, 101197. DOI: 10.1016/J.CSTP.2024.101197
[18]Qu L, Dai YD. Research on the path of improving the service quality of rural E-commerce logistics in Jilin province based on computer. Journal of Physics: Conference Series, 2021, 1744(3), 032144. DOI: 10.1088/1742-6596/1744/3/032144
[19]Gackstetter D, Moshrefzadeh M, Machl T, Kolbe TH. Smart rural areas data infrastructure (SRADI) - An information logistics framework for digital agriculture based on open standards. Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), 2021, P-309109-114.
[20]Jiang XH, Wang HY, Guo XC. Analyzing service quality evaluation indexes of rural last mile delivery using FCE and ISM approach. Information, 2020, 11(6), 327. DOI: 10.3390/info11060327
[21]Liu W. Route Optimization for last-mile distribution of rural e-commerce logistics based on ant colony optimization. IEEE Access, 2020, 8, 12179-12187. DOI: 10.1109/access.2020.2964328
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Zilong Xu, Rong Ren, Shubao Guan (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
