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作 者:郑乐 鄢飞[1] ZHENG Le;YAN Fei(School of Management,Xi’an Polytechnic University,Xi’an 710048,China)
出 处:《河南科学》2025年第3期409-419,共11页Henan Science
基 金:陕西省软科学研究项目(2022KRM002);陕西省教育厅智库内涵建设项目(21JT018)。
摘 要:基于扎根理论方法构建物流业智慧化水平评价体系,并采用熵值法测度2014—2022年中国30个省份的物流业智慧化发展水平。通过Dagum基尼系数和Moran’s I对物流业智慧化发展水平的时序演进和空间分化进行组群分析。结果显示,我国整体物流业智慧化发展水平较低,地区间不平衡性显著,呈“东部领先、中西并进、东北滞后”的态势,且区域间差异仍在扩大。同时,我国物流业智慧化水平的发展表现出正向空间集聚效应。最后,从加大投入与政策推进、区域协调与缩小差距、人才培养与创新驱动3个方面提出促进物流业智慧化发展的建议。This paper constructs an evaluation system for the smart development level of logistics industry based on the grounded theory method,and measures the smart development level of logistics industry of 30 provinces in China from 2014 to 2022 using the entropy method.Through Dagum Gini coefficient and Moran’s I,a group analysis is conducted on the temporal evolution and spatial differentiation of smart development level of logistics industry.The results indicate that the overall smart development level of logistics industry in China is relatively low,with significant regional imbalances.The pattern shows the eastern region leading,the central and western regions advancing together,and the northeastern region lagging behind,with regional disparities continuing to widen.Additionally,the development of smart level of China’s logistics industry exhibits a positive spatial clustering effect.Finally,some suggestions are put forward to promote the intelligent development of logistics industry from three aspects:increasing investment and policy promotion,regional coordination and narrowing the gap,talent training and innovation driving.
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