广东省绿色物流的发展效率基于超级SBM和GML指数
1School of Emergency Technology, Guangzhou Vocational College of Technology and Business, Guangzhou, China.
PloS one
|September 9, 2025
概括
广东的绿色物流效率很低,并且正在下降,城市之间存在差异. 技术进步推动了效率,但需要有针对性的政策来改善.
科学领域:
- 物流和供应链管理的物流和供应链管理.
- 环境可持续性 环境可持续性
- 区域经济学 区域经济学
背景情况:
- 中国国家可持续性战略要求物流部门高质量的绿色发展.
- 广东省是一个重要的经济和物流枢纽,需要对其绿色物流发展进行专注的调查.
- 评估绿色物流效率对于可持续的经济增长和环境保护至关重要.
研究的目的:
- 从2016年到2022年全面评估广东省21个城市的绿色物流发展效率.
- 通过使用静态和动态指标,动态评估和分类绿色物流效率.
- 为制定区域政策提供见解,以加强绿色物流.
主要方法:
- 超高效率的基于软件的测量模型 (超级SBM) 包含了不必要的输出.
- 全球马尔姆奎斯特-卢恩伯格 (GML) 生产力指数用于动态分析.
- 四个象限分析以根据效率和增长模式对城市进行分类.
主要成果:
- 广东的整体绿色物流效率较低,略有下降趋势,区域差异很大.
- 珍珠河三角洲 (PRD) 地区,特别是深和广州,表现出最高和不断提高的效率.
- 技术进步是绿色物流效率变化的首要驱动力,城市被分为四个不同的象限.
结论:
- 广东的绿色物流效率需要大幅提高,需要解决区域差异.
- 技术进步是关键,但不同的城市分类需要定制策略.
- 政策建议侧重于绿色转型,区域合作,技术创新和针对不同城市需求的有针对性的支持.
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