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基于超效率SBM模型和GML指数的广东省绿色物流发展效率

Development efficiency of green logistics in Guangdong province based on Super-SBM and GML index.

作者信息

Wang Yun

机构信息

School of Emergency Technology, Guangzhou Vocational College of Technology and Business, Guangzhou, China.

出版信息

PLoS One. 2025 Sep 9;20(9):e0331893. doi: 10.1371/journal.pone.0331893. eCollection 2025.

Abstract

Under China's national sustainability strategy, the logistics industry is confronted with the imperative of high-quality green development. Given its status as the leading economic province and a national logistics hub, investigating green logistics development in Guangdong province holds paramount strategic importance. To comprehensively evaluate green logistics development efficiency of 21 cities in Guangdong from 2016 to 2022, this study employed the super-efficiency slacks-based measure model (Super-SBM) with undesirable outputs, the Global Malmquist-Luenberger (GML) productivity index and a four-quadrant analysis based on static and dynamic efficiency. With its integrated framework, this study dynamically assesses and meticulously classify green logistics efficiency in Guangdong, thereby offering unique perspectives and deep insights for regional policy formulation. The results reveal three key aspects. First, Guangdong's overall green logistics efficiency remains relatively low with a slight downward trend, exhibiting significant regional and inter-city disparities. The Pearl River Delta(PRD) region, particularly Shenzhen and Guangzhou, consistently shows the highest and increasing efficiency, contrasting sharply with other regions. Second, technological progress is identified as the primary driver of changes in green logistics efficiency. Third, the four-quadrant analysis reveals distinct patterns among the 21 cities, classifying them into four categories: "high-efficiency-growth" (e.g., Shenzhen and Guangzhou), "high-efficiency-regression" (e.g., Dongguan), "low-efficiency-growth" (e.g., Zhuhai and Zhaoqing), and "low-efficiency-regression" (e.g., Meizhou and Shantou). Finally, this study puts forward key policy recommendations to promote green logistics development in Guangdong, including driving green transformation through the realignment of industrial and economic foundations, strengthening core cities' green logistics leadership and regional collaboration, enhancing technological innovation capacity, and implementing precise and targeted support for cities across all four quadrants.

摘要

在中国国家可持续发展战略下,物流业面临着高质量绿色发展的迫切要求。鉴于广东省作为经济强省和国家物流枢纽的地位,研究其绿色物流发展具有至关重要的战略意义。为全面评估2016年至2022年广东省21个城市的绿色物流发展效率,本研究采用了考虑非期望产出的超效率松弛测度模型(Super-SBM)、全局Malmquist-Luenberger(GML)生产率指数以及基于静态和动态效率的四象限分析。通过其综合框架,本研究动态评估并细致分类了广东省的绿色物流效率,从而为区域政策制定提供了独特视角和深刻见解。结果揭示了三个关键方面。首先,广东省整体绿色物流效率相对较低且呈轻微下降趋势,存在显著的区域和城市间差异。珠江三角洲(PRD)地区,尤其是深圳和广州,始终展现出最高且不断提高的效率,与其他地区形成鲜明对比。其次,技术进步被确定为绿色物流效率变化的主要驱动力。第三,四象限分析揭示了21个城市之间的不同模式,将它们分为四类:“高效增长”(如深圳和广州)、“高效衰退”(如东莞)、“低效增长”(如珠海和肇庆)以及“低效衰退”(如梅州和汕头)。最后,本研究提出了促进广东省绿色物流发展的关键政策建议,包括通过调整产业和经济基础推动绿色转型、加强核心城市的绿色物流引领作用和区域协作、提升技术创新能力以及对所有四个象限的城市实施精准且有针对性的支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d910/12419612/6529b9ac98b5/pone.0331893.g001.jpg

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