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首页> 外文会议>CIRP Conference on Industrial Product-Service Systems >The Mechanism and Empirical Study of Intelligent Logistics Technology Improving the Efficiency of Logistics Industry - Taking the 'Core Area' of the Silk Road Economic Belt as example
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The Mechanism and Empirical Study of Intelligent Logistics Technology Improving the Efficiency of Logistics Industry - Taking the 'Core Area' of the Silk Road Economic Belt as example

机译：智能物流技术提高物流业效率的机制及实证研究 - 以丝绸之路经济带“核心区”为例

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摘要

Using the Grey-correlation model to measure the integration degree between the intelligent technology and the logistics industry, we find the developmental level of intelligent logistics technology in the "core area" of the Silk Road Economic Belt (the spatial range of the five Central Asian countries and the five provinces in northwest China) during 2007-2016 showed a "U" shape and it is higher in the five provinces in northwest China than the five Central Asian countries. Secondly, applying SFA to calculate the logistics efficiency in the "core area", we conclude that the overall annual average of logistics efficiency is between 0.47 and 0.72 and shows an ascending tendency from 2007 to 2016, which in accords with the World Bank LPI ranking to a large extent. Thirdly, following the three-stage maximum likelihood regression to calculate the influence of logistics information technology on logistics efficiency, we shows that the effect is positively significant at level 10%. According to the above research findings, this paper offers some corresponding suggestions, such as encouraging intelligent technological innovation and application, accelerating the construction of intelligent logistics parks, improving the level of opening and enhancing the learning effect.
机译：利用灰色相关模型测量智能技术与物流业之间的集成程度，我们发现智能物流技术的发展水平在丝绸之路经济带上的“核心区”（五个中亚的空间范围2007 - 2016年中国西北五省的国家和五个省份显示了“u”形状，中国西北五省比中亚国家的五个省份更高。其次，申请SFA计算“核心区域”的物流效率，得出结论，物流效率的整体平均平均值在0.47和0.72之间，从2007年到2016年显示了一个上升趋势，符合世界银行LPI排名在很大程度上。第三，在三阶段最大似然回归计算物流信息技术对物流效率的影响下，我们表明效果在10％级别呈肯定显着。根据上述研究结果，本文提供了一些相应的建议，如鼓励智能技术创新和应用，加快智能物流园区的建设，提高开放水平，增强学习效果。

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