PORT CONNECTIVITY AND SPATIAL-TEMPORAL DIFFERENCE OF ITS INFLUENCING FACTORS: THE CASE OF CHINA BOHAI RIM PORTS

ZHANG Xin-fang; LV Jing

doi:10.13959/j.issn.1003-2398.2019.06.013

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HUMAN GEOGRAPHY ›› 2019, Vol. 34 ›› Issue (6) : 110-119. DOI: 10.13959/j.issn.1003-2398.2019.06.013

PORT CONNECTIVITY AND SPATIAL-TEMPORAL DIFFERENCE OF ITS INFLUENCING FACTORS: THE CASE OF CHINA BOHAI RIM PORTS

ZHANG Xin-fang, LV Jing

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Abstract

In order to measure port connectivity and spatial-temporal difference of its influencing factors, a port comprehensive connectivity model is constructed from the aspect of port supply chain, taking into account three levels of port hinterland connectivity, domestic trade and foreign trade connectivity capacity, based on improved gravity model and location condition. The port connectivity in China Bohai Rim is research during 2002-2017, and its influencing factors are explored by adopting the spatial econometric model, including spatial error model, spatial lag model and Geographically Weighted Regression (GWR). The results show that: 1) There are great differences in hinterland connectivity, domestic trade, foreign trade and comprehensive connectivity of ports in Bohai Rim. Tianjin and Qingdao ports have the highest hinterland connectivity, Dandong and Weihai ports have the lowest, and Huanghua and Tangshan ports have the fastest growth of connectivity. 2) The pattern of port connectivity in Bohai Rim has the characteristics of "multi- core-edge" distribution, that is, the Beijing-Tianjin-Hebei region with Tianjin port as its core, the Shandong Peninsula with Qingdao port as its core and Liaoning Peninsula with Dalian port as its core. 3) There are some spatial correlation (or dependence), heterogeneity and spillover effects in the port connectivity in Bohai Rim, and the difference of connectivity among ports is gradually narrowing. Spatial econometric regression results show that all the factors have positive effect on connectivity, the logistics trade scale of has the most significant impact, and its connectivity distribution conforms to the Matthew effect.

Key words

port connectivity / spatial-temporal difference / spatial econometric model / Geographically Weighted Regression

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ZHANG Xin-fang, LV Jing. PORT CONNECTIVITY AND SPATIAL-TEMPORAL DIFFERENCE OF ITS INFLUENCING FACTORS: THE CASE OF CHINA BOHAI RIM PORTS[J]. HUMAN GEOGRAPHY. 2019, 34(6): 110-119 https://doi.org/10.13959/j.issn.1003-2398.2019.06.013

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