| 浙江省A级物流企业时空格局特征研究 |
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| 引用本文： | 蒋天颖,伍婵提,陈改改.浙江省A级物流企业时空格局特征研究[J].地理科学,2017,37(11):1720-1727. |
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| 作者姓名： | 蒋天颖 伍婵提 陈改改 |
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| 作者单位： | 宁波大红鹰学院,浙江 宁波 315175 |
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| 基金项目： | 浙江省哲学社会科学规划课题（15JDLG04YB）、宁波市软科学课题（2016A10054）资助 |
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| 摘 要： | 基于浙江省2005~2015年A级物流企业时空数据,运用ArcGIS10.0和CrimeStats 3.3软件从时间和空间视角分析了浙江省A级物流企业空间格局特征及形成机制。研究表明：浙江省A级物流企业在时间序列上分为起步阶段、成长阶段和成熟阶段,各等级企业发展不平衡;从空间上来看,A级物流企业呈现明显的东北部密集、西南部稀疏的分布趋势,最近邻指数表明全省A级物流企业的空间分布集聚强度依次为：总体>3A>4A>2A>5A>1A;多尺度研究表明不同等级的物流企业在不同空间尺度上的分布格局以集聚分布形态为主,随机分布为辅,集聚程度趋势随尺度变化而变化;热点探测分析表明A级物流企业区位导向为长三角南翼经济发达区、沿海港口城市、内陆交通枢纽三大地带。
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| 关 键 词： | A级物流企业 时空格局 形成机制 浙江省 |
| 收稿时间： | 2017-02-14 |
| 修稿时间： | 2017-04-15 |
Spatio-temporal Pattern of Zhejiang A-class Logistics Enterprise |
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| Tianying Jiang,Chanti Wu,Gaigai Chen.Spatio-temporal Pattern of Zhejiang A-class Logistics Enterprise[J].Scientia Geographica Sinica,2017,37(11):1720-1727. |
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| Authors: | Tianying Jiang Chanti Wu Gaigai Chen |
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| Institution: | Ningbo Dahongying University, Ningbo 315175, Zhejiang, China |
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| Abstract: | Based on the spatio-temporal data of A-grade logistics enterprises in Zhejiang Province from 2005 to 2015, this article analyzes the spatial pattern and formation mechanism of A-grade logistics enterprises in Zhejiang Province from the perspective of time and space using ArcGIS10.0 and Crime Stats 3.3. The results show that Zhejiang A-grade logistics enterprises are divided into initial stage, growth stage and maturity stage in time series, the internal structure of A-grade logistics enterprises is belong to a typical development trend of “middle heavy, two light”, and the development of enterprises in each level is unbalanced. From a spatial point of view, A-grade logistics enterprises obviously trends to be intensive in the northeast and sparse in the southwest. The nearest neighbor index shows that the spatial distribution of A-grade logistics enterprises in the province is in the order of overall >3A>4A>2A>5A>1A. The reason is that the economic development level of these regions is high, forming a relatively perfect traffic network, and the demand for urban distribution system is more and more urgent, the foreign exchanges have become increased frequently, logistics companies settle down one by one, which have become a mainstay of the logistics enterprises in Zhejiang Province. In addition, 1A-grade logistics enterprises and 5A-grade logistics enterprises are less in number, and the former showed a trend of uniform spatial distribution, the latter showed a trend of random distribution. The distance of every enterprise is far apart and scattered distribution. The multi-scale research shows that the distribution pattern of the logistics enterprises of different grades in different spatial scales is mainly in the form of agglomeration distribution, with the random distribution as the supplement, and the degree of aggregation tends to change with the scale, the stability which obeyed the concentration distribution is also restricted by the number and their geo-spatial locations of 1A-grade logistics enterprises. However, the number and the geo-spatial locations of logistics enterprises are impacted by social economy, market demand, transportation networks, government policy and other factors. Hot spot detection analysis shows that A-grade logistics enterprises are located in three areas: the south of the Yangtze River Delta economic development zone, coastal port cities and inland transportation hubs. As a result, revealing the space-time characteristics of A level logistics enterprises in Zhejiang Province, which provides several practical implications to promote further development of logistics industry in Zhejiang Province: 1) increasing the government's support of logistics enterprises; 2) to promote prudent degree of traffic network; 3) the optimization of regional industrial structure; 4) expanding the scale of the logistics market demand, and then ensure the logistics enterprises in Zhejiang Province effective to dock the Belt and Road . |
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| Keywords: | A-grade logistics enterprises spatial and temporal pattern formation mechanism Zhejiang Province |
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