SCIENTIA GEOGRAPHICA SINICA ›› 2018, Vol. 38 ›› Issue (5): 691-698.doi: 10.13249/j.cnki.sgs.2018.05.006

• Orginal Article • Previous Articles     Next Articles

Spatial Pattern and Location Selection of Port Logistics Enterprises in Ningbo

Rui Wang(), Tianying Jiang, Shuai Wang()   

  1. School of Finance & Trade, Ningbo University of Finance and Economics, Ningbo 315175, Zhejiang, China
  • Received:2017-06-20 Revised:2018-04-15 Online:2018-05-10 Published:2018-05-10
  • Supported by:
    National Natural Science Foundation of China (71372001), Ministry of Education Project of Humanities and Social Sciences (17YJCZH176), Natural Science Foundation of Zhejiang Province of China (LY18D010006), Zhejiang Federation Social Science Major Foundation (17NDJC009Z), Ningbo Soft Science Project (2014A10084)


With the rapid development of the modern logistics industry dominated by the port logistics in China's coastal cities, researches on the characteristics of spatial distribution and laws of evolution of the port logistics companies inside cities are beginning to appear. However, the existing research has not further studied the factors affecting the location selection of the port logistics companies. In this article, based on the data of location information of Ningbo port logistics companies, the characteristics of spatial distribution and factors that affect the location selection of the port logistics companies are analyzed. The differences of the locational characteristics between the different types of port logistics companies are identified. It enriches the case studies of the locational analysis of the port logistics companies in the coastal cities. Taking Ningbo as an example, this article employed the Kernel Density Estimation, Getis-ord Gi analysis and Poisson regression models to analyze data, and the results showed that: 1) The port logistics companies in Ningbo show centripetal concentration, and the spatial distribution of enterprises presents a tendency to decrease from the central city, the periphery to the suburbs, and the distribution pattern of the circle is obvious. Central business district and port industrial area are the popular areas for port logistics enterprises to gather. 2) At present, port logistics enterprises have obvious agglomeration characteristics, but the overall agglomeration degree is decreasing. At the same time, there are two trends, which are centralization and diffusion of central business district and port industrial area. 3) It is found that there are obvious differences in location choice of different types of port logistics companies: a) The freight forwarder logistics companies are mainly distributed in the central business area; b) The logistics business companies of warehouse are mainly distributed in port; c) The transportation logistics companies often choose the layout along the main road, because they mainly undertake land container transportation, the locational selection has traffic dependency; d) Compared with the other three types, the distribution of integrated logistics companies has no obvious locational tendencies. 4) Regarding the factors affecting the spatial distribution of Ningbo port logistics companies, the research shows that the policy factors, the price of land, the differences between urban and rural areas, the distance from the port, the economic potential of the region and its industrial structure all affect the spatial distribution of port logistics enterprises in varying degrees. However, there is no correlation with traffic convenience, and the main reason is that the road network construction in Ningbo is relatively perfect. At the same time, the article put forward the corresponding measures from three different aspects: first, strengthening top-level design in logistics industry; second, exploiting the regional advantages to form a park that integrates port logistics and port industry advantages;third, optimizing the infrastructure such as the traffic network deeply.

Key words: port logistics enterprises, spatial pattern, location selection, Ningbo

CLC Number: 

  • F129.9