Spatial Durbin model estimation results.

The logistics industry plays a crucial role in facilitating regional economic development. Serving as a vital link connecting producers, consumers, and various components of the supply chain, it has a direct and profound impact on the prosperity and advancement of regional economies. Based on the panel data of 11 provinces in the Yangtze River Economic Belt from 2016 to 2020, this paper constructs the logistics capability evaluation index system from four aspects: regional economic base, logistics infrastructure, logistics development scale, information technology and talent support, and uses the entropy weight TOPSIS method to measure the logistics capability of each province. The adjacency space weight matrix, geographical distance weight matrix and economic distance weight matrix are selected to build a spatial econometric model to analyze the influencing factors and spatial spillover effects of regional logistics capability. The following conclusions can be drawn from the analysis. From 2016 to 2020, the regional logistics capacity of the Yangtze River Economic Belt shows a trend of increasing year by year, but the logistics capacity of different provinces within the region has a large room for improvement. From the perspective of spatial dimension, the logistics capacity of the Yangtze River Economic Belt is "high in the east and low in the west". The results of spatial econometric analysis based on the spatial Durbin model show that there are significant spatial spillover effects on the logistics capacity of provinces in the Yangtze River Economic Belt. Factors such as road network density, port throughput, water freight turnover, transportation, warehousing and postal employment will not only affect the logistics capacity of the region, but also have a spillover effect on the material capacity of neighboring provinces in the Yangtze River Economic Belt. This study improves the level of regional logistics capacity and promotes the regional economic development of the Yangtze River Economic Belt. It can be used as a reference for other regions or countries in terms of enhancing regional logistics capacity and promoting regional economic development.

物流业对推动区域经济发展具有至关重要的作用。作为连接生产者、消费者与供应链（supply chain）各环节的关键纽带，物流业对区域经济的繁荣与发展有着直接且深远的影响。本文基于2016-2020年长江经济带11个省份的面板数据（panel data），从区域经济基础、物流基础设施、物流发展规模、信息技术与人才支撑四个维度构建物流能力评价指标体系，并采用熵权TOPSIS法（entropy weight TOPSIS method）对各省份的物流能力进行测度。选取邻接空间权重矩阵、地理距离权重矩阵与经济距离权重矩阵，构建空间计量模型（spatial econometric model）以分析区域物流能力的影响因素及其空间溢出效应（spatial spillover effects）。据此可得到如下结论：2016-2020年，长江经济带区域物流能力呈逐年上升趋势，但区域内各省份的物流能力仍存在较大提升空间。从空间维度来看，长江经济带物流能力呈现“东高西低”的分布格局。基于空间杜宾模型（Spatial Durbin Model）的空间计量分析结果表明，长江经济带各省份的物流能力存在显著的空间溢出效应。路网密度、港口吞吐量、水路货运周转量、交通运输仓储及邮政业就业人数等因素，不仅会对本地区的物流能力产生影响，还会对长江经济带周边省份的物流能力产生溢出效应。本研究有助于提升长江经济带区域物流能力水平，推动其区域经济发展，可为其他地区或国家提升区域物流能力、促进区域经济发展提供参考借鉴。