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›› 2016, Vol. 39 ›› Issue (3): 638-646.

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Spatial difference of industrial structure and mechanisms of Gansu Province

ZHUANG Liang1, WANG Xin-min2, MA Wei3, SHANG Zheng-yong4   

  1. 1 The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200241, China;
    2 School of Geography and Environment, Northwest Normal University, Lanzhou 730070, Gansu, China;
    3 College of Tourismand Environment, Shaanxi Normal University, Xi'an 710119, Shaanxi, China;
    4 School of Urban and Environment Science, Huaiyin Normal University, Huai'an 223300, Jiangsu, China
  • Received:2015-12-21 Revised:2016-03-02 Online:2016-05-25

Abstract: By taking the counties of Gansu Province, northwest China as a case, this paper mainly used the ESDA model, OLS model and GWR model to analyze the temporal-spatial differences and changes of the industrial structure for 87 counties from 2000 to 2013. The results showed as follows:(1) From the temporal respective, both the absolute and relative difference of industrial structure of counties presented "slow down" trend in Gansu Province, and the decline rate of relative difference was more rapid than that of the absolute difference.(2) From the spatial respective, with the ArcGIS trend analysis tool, it was found that the industrial development had a tendency of higher in the west and north, lower in the east and south. Besides, the calculate results of Moran's I showed that the spatial clustering of the industrial structure of Gansu Province is increasing.(3) Since 2000, the hot areas mainly distributed intensively in Jiuquan and Lanzhou cities, then extended to the northwest and northeast of Gansu Province. Lately, three hot areas of Jiuquan-Jiayuguan, Lanzhou and Qingyang formed in 2013. The distribution of cold and hot spots showed an obvious zonal distribution pattern of "hot spots, sub-hot spots, cold spots, sub-cold spots" from northwest to southeast.(4) Finally, this paper analyzed the dynamic mechanism of industrial structure evolution with the method of GWR. Among the influencing factors, only government intervention effect generally had a negative influence on the industrial structure evolution, while the other impact factors had robust and positive impacts, such as economy level, investment level, consumption level, technology level, urbanization level. Raising the overall level of government intervention should be an effective way to improve industrial structure. This paper could be helpful for reference to optimize the industrial structure and promote the fair and coordinated development among counties of Gansu Province.

Key words: ESDA, GWR, spatial pattern, industrial structure, Gansu Province

CLC Number: 

  • F127