Management Review

›› 2018, Vol. 30 ›› Issue (8): 235-246.

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The Spatial Statistical Analysis of Inbound and Outbound Cargo of China at Provincial Level

Zhu Zhen1, Hu Ruipeng2   

  1. 1. National Port Management Office of China, Beijing 100730;
    2. School of Statistics, Renmin University of China, Beijing 100872
  • Received:2016-03-24 Online:2018-08-28 Published:2018-08-31

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Abstract:

Port is the main channel for the development of border trade and transnational cooperation. It is of great practical significance to analyze temporal and spatial pattern of inbound and outbound cargo in the context of "the Belt and Road Initiatives" strategy. This paper uses exploration statistical analysis to analyze spatial difference and dynamic change of provincial inbound and outbound cargo of China in the period of 2007-2015, based on the division of waterway ports, land ports and air ports. The results reveal that:In 2007-2015, the overall amount of provincial inbound and outbound cargo inside province maintained rapid growth, with significant differences between distinct provinces, inbound and outbound cargo of eastern coastal provinces were significantly higher than central and western regions; In the respect of port classification, there were spatial correlations among the amount of inbound and outbound cargo in waterway ports and the agglomeration effect is constantly increasing, while there were no obvious spatial correlations among those of land ports as well as air ports; The amount of inbound and outbound cargo of waterway ports aggregated in the Yangtze River Delta, the Bohai Rim and southeast coast regions, the amount of inbound and outbound cargo of air ports aggregated in region of Beijing, Shanghai and Guangzhou, and the amount of inbound and outbound cargo of land ports aggregated in border regions such as Xinjiang and Inner Mongolia.

Key words: amount of port's inbound and outbound cargo, spatial correlation, Moran's I scatterplot, LISA