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Influencing Factors Analysis and Forecast of Regional Logistics Demand: a case of Wuhan

机译：影响因素分析与区域物流需求的预测：武汉案例

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Regional logistics demand has an important guiding significance for regional logistics development planning. However, due to the wide range of areas and departments involved in logistics activities, and the corresponding statistics is unavailable. Therefore, the demand for regional logistics is much more difficult to determine. Through the influencing factors analysis of regional logistics, this paper chooses several indicators and constructs a multiple linear regression model. Then an empirical analysis of Wuhan in China is carried out and some indicators are eliminated. Finally, a regression model is established with gross domestic product, gross agricultural output and total retail sales of consumer goods. The model has statistical significance and it is used to predict the logistics demand of Wuhan in 2020, 2025 and 2030. The results show that the region's logistics demand will continue to grow.
机译：区域物流需求对区域物流发展规划有重要的指导意义。然而，由于涉及物流活动的广泛领域和部门，并且相应的统计数据不可用。因此，对区域物流的需求更难以确定。通过影响区域物流的影响因素分析，本文选择了几个指标并构建了多元线性回归模型。然后进行了对中国武汉的实证分析，并淘汰了一些指标。最后，利用国内生产总值，农业总产量和消费品零售总销售额建立了回归模型。该模型具有统计学意义，它用于预测2020年2020年，2025年和2030年的武汉物流需求。结果表明，该地区的物流需求将继续增长。

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