测量和物流效率的空间和时间特征 - - 基于三阶段的DEA模型
1School of Economics, Harbin University of Commerce, Harbin, 150028, China.
Heliyon
|October 14, 2024
概括
中国的物流效率正在提高,但面临着区域差异. 提高技术和规模效率是降低成本和污染的关键,特别是在中西部地区.
科学领域:
- 物流和供应链管理的物流和供应链管理.
- 区域经济学 区域经济学
- 环境经济学环境经济学
背景情况:
- 物流业对经济发展至关重要,但面临着高成本和污染等挑战.
- 提高物流效率对于国家经济进步和可持续性至关重要.
- 在中国的物流部门存在显著的区域差异.
研究的目的:
- 从经验上评估2004年至2021年30个中国省份的物流效率.
- 确定影响物流效率的因素,包括成本,污染和外部环境变量.
- 为旨在提高物流业绩的政策干预提供见解.
主要方法:
- 用一个三阶段的数据环境分析 (DEA) 模型进行实证评估.
- 在18年的时间内 (2004-2021) 分析了来自中国30个省份的数据.
- 研究了技术,规模和环境因素对物流效率的影响.
主要成果:
- 最初,五个省份 (如北京,上海) 处于效率前沿,在调整后降至三个省份.
- 大多数省份都有改善物流效率的潜力,特别是降低成本和减少污染.
- 社会零售商品的消费与效率有正相关,而区域生产总值显示出负相关.
- 物流效率呈现上升趋势,但具有明显的"东部高,西部低"区域模式.
结论:
- 在中国提高物流效率需要专注于技术和规模调整.
- 解决成本和污染问题对于可持续物流发展至关重要.
- 政策干预应考虑区域差异和外部经济因素的影响.
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