Wang Yun, Jin Huizhen, Qian Wenbin
School of Emergency Technology, Guangzhou Vocational College of Technology and Business, Guangzhou, Guangdong, China.
School of Economics and Management, Hunan University of Science and Engineering, Yongzhou, Hunan, China.
PLoS One. 2025 Jul 24;20(7):e0328936. doi: 10.1371/journal.pone.0328936. eCollection 2025.
With the development of economic globalization, logistics has become a crucial link in the global supply chain. In the backdrop of growing environmental concerns and the need for more efficient business operations, sustainable logistics and advanced supply chain management have emerged as imperative components. Effective supply chain management.The region centered on Guangdong Province is one of the most active regions in the economic belt, and its geographical, industrial and cultural advantages make it one of the main centers of the national economy. This paper aims to study the regional logistics design centered on Guangdong province, with a special emphasis on incorporating sustainable logistics and supply chain management aspects. It analyzes the current situation and existing problems based on the data envelope analysis (DEA) and Malmquist index model, and conducts the logistics design analysis.The research results show that (1)The technical efficiency and technological progress of Guangdong province and its neighboring provinces have promoted the improvement of its logistics efficiency.(2)The growth of pure technical efficiency is an important factor driving the improvement of logistics efficiency in Guangdong Province and its neighboring provinces.(3)In terms of time evolution,the technological progress index had the least driving effect and should be further strengthened.(4)In 2020, due to the impact of the epidemic, the total factor productivity declined.
随着经济全球化的发展,物流已成为全球供应链中的关键环节。在环境问题日益受到关注以及企业运营需要更高效率的背景下,可持续物流和先进的供应链管理已成为必不可少的组成部分。有效的供应链管理。以广东省为中心的地区是经济带中最活跃的地区之一,其地理、产业和文化优势使其成为国民经济的主要中心之一。本文旨在研究以广东省为中心的区域物流设计,特别强调纳入可持续物流和供应链管理方面。基于数据包络分析(DEA)和Malmquist指数模型分析现状和存在的问题,并进行物流设计分析。研究结果表明:(1)广东省及其周边省份的技术效率和技术进步促进了其物流效率的提高。(2)纯技术效率的增长是推动广东省及其周边省份物流效率提高的重要因素。(3)从时间演变来看,技术进步指数的驱动作用最小,应进一步加强。(4)2020年,受疫情影响,全要素生产率下降。