Evaluation of Agricultural Product Logistics Capability in Hubei Province Based on Factor Analysis and Cluster Analysis
DOI:
https://doi.org/10.64229/gx34k757Keywords:
Factor Analysis, SPSS, Agricultural Products, Cluster AnalysisAbstract
This paper focuses on the current situation of agricultural product logistics in Hubei Province. Using factor analysis, it identifies the main factors that influence the logistics capability of agricultural products across the province. Based on these factors, the study evaluates and calculates the logistics capability scores for different regions, providing a quantitative basis for comparison. Furthermore, cluster analysis is applied to classify the logistics capability of each city, revealing significant regional differences and patterns. The results indicate that logistics capability is closely linked to regional economic development, the scale of agricultural production, and the completeness and efficiency of logistics infrastructure. Accordingly, this paper proposes a series of targeted measures and policy recommendations to optimize infrastructure, improve transportation networks, and enhance coordination among cities, which can help maintain balance and promote the sustainable development of agricultural product logistics across Hubei Province.
References
[1]Deng M., Chen T., Yang M. A brief discussion on land value under the rural revitalization strategy of the 19th National Congress: A case study of the “Enterprise + Cooperative + Farmer” model [J]. China Collective Economy, 2019, (02): 1–2. https://portal.sclib.cn/interlibSSO/goto/11/+jmr9bmjh9mds/kcms2/article/abstract?v=NitQnVYDOcpDFn5juhxM65tPR4BAu4nZ3hTIIsllLYdNKcQM9hP880A_wwTIyRGPpwJ9I7Z8KBPPvrJMXhUAZXcqjajmf7YCPmIh1V799-UO2EcAzpWyaoRopI4ob7RWD9PNQpRfbV8BBOqqCwJVZxHlC5uZc6JOWh2vs7nMxLg1R0WcXxujOA==&uniplatform=NZKPT&language=CHS
[2]Liu L. Research on the development of rural e-commerce in China under the background of digital commerce promoting agriculture [J]. Logistics Engineering and Management, 2024, 46(05): 56–59. https://portal.sclib.cn/interlibSSO/goto/11/+jmr9bmjh9mds/kcms2/article/abstract?v=NitQnVYDOcqxGwk_DCfy5HGIeELlBUTgtFEd3fmJ1Rb0I11Naa0dv1vBcKgVBv8G-aV5pV5KVFY21_O1d44T9LpPujVXyH3Lc-vDnuVUBKI1-U1rbwEQZGHTu_UaqkMK-AdYYwoq_pYZLekCmyXBQIPJttipE8eZoI6ZkFQsxQC_ytJ9iCqfvA==&uniplatform=NZKPT&language=CHS
[3]Hou J. Research on problems and suggestions of agricultural logistics in the development of agricultural economy [J]. China Storage and Transportation, 2023, (09): 142–144. https://link.cnki.net/doi/10.16301/j.cnki.cn12-1204/f.2023.09.081
[4]Wang Y. Research on rural logistics development level in Xuzhou based on factor analysis [J]. Logistics Technology, 2023, 46(23): https://link.cnki.net/doi/10.13714/j.cnki.1002-3100.2023.23.030
[5]Chen L. Analysis of influencing factors of rural logistics development in Fujian Province [J]. Logistics Engineering and Management, 2019, 41(08): 26–28+3. https://portal.sclib.cn/interlibSSO/goto/11/+jmr9bmjh9mds/kcms2/article/abstract?v=NitQnVYDOcqR1cbVyVzR6x5nI-wgwK3t6Wzrvk5lxak6Jut75kue5szxUCSmCA5cx-a99nrI6ORY-PowLghjnAgLfVgy_OshWI9TWEag4oy0RIPnG2cGQ6Jw9hrjXzbh4v1lfohLLj9I5_iepwTmy9ijV43K6W0IuInIKvnySsJ5c3lqgXZelA==&uniplatform=NZKPT&language=CHS
[6]Liu Y. Research on the development of agricultural product logistics system in Jiangsu based on SWOT-AHP [J]. Logistics Engineering and Management, 2022, 44(01): 97–100. https://portal.sclib.cn/interlibSSO/goto/11/+jmr9bmjh9mds/kcms2/article/abstract?v=NitQnVYDOcpI8hfl0j9pvt_g8gFs_fiCBpSpRVH7uouh_3xqWTTFKY6zf_cL7mDQJMfoWquHtYdnXbD9083hupJxek3NecXHsZ1wVCOAZuV3kArX_PRg9ZLpY72EjcPai6g5qO-s7ZkTEGrNDsSWIg7j4pLCa-P0XEg1vC81xOZa5tQMSNp2wg==&uniplatform=NZKPT&language=CHS
[7]Zhang J., Cai R., Xiang X., et al. Evaluation and improvement strategies of regional logistics capability in Hunan Province: Based on CRITIC-entropy weight combination method [J]. China Logistics & Purchasing, 2023, (05): 44–45. https://link.cnki.net/doi/10.16079/j.cnki.issn1671-6663.2023.05.010
[8]Guo Yuexian, Li Mingkun. Evaluation of Cold Chain Logistics Capability for Agricultural Products in Hebei Province Based on Factor Analysis and Entropy Weight-TOPSIS [J]. Journal of Hebei University of Science and Technology (Social Science Edition), 2025, 24(03): 33-40+61. https://portal.sclib.cn/interlibSSO/goto/11/+jmr9bmjh9mds/kcms2/article/abstract?v=NitQnVYDOco9RAPdsNq-FGVTHK8RwRlknUazb4psvehnArXvudE7H1pvr1JA_eYfwxt-pugAYF-fyCuDk-HyhXPOE4Fyj4t-HMLK26ekwAcj-dxuAgVW2eb4CnN6pje9xWzOXvEI9ylZe66f9ZLIl90VM0ZSx57lgSwE5yiUPwNxhANOh4Iqaw==&uniplatform=NZKPT&language=CHS
[9]Chu Hanfang, Hao Yubin, Liu Xinyan, et al. Evaluation of Emergency Logistics Capability Based on Factor Cluster Analysis: A Case Study of the Pearl River Delta Region [J]. Logistics Technology, 2025, 48(10): 8-12. https://link.cnki.net/doi/10.13714/j.cnki.1002-3100.2025.10.002
[10]Wu Hongxia, Li Jiaxin, Cui Boyu. Assessment of Logistics Capability Development Level in Hebei Province Based on the Entropy Weight-TOPSIS Model [J]. China Storage & Transportation, 2025, (04): 154-155. https://link.cnki.net/doi/10.16301/j.cnki.cn12-1204/f.2025.04.03
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Yuluo Zhang (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
