The Research On The Network Centrality Of Chinese Cities Based On The Auto Parts Demand-supply Supporting Network

The present paper introduces the theory of―space of flow‖in World CityNetwork (WCN) researches and the thinking of Global Commodity Chains (GCC)analysis into the research framework of urban system network structure. Taking thesix automobile industry concentration area in China as the basis in state space, thispaper adopt the data of demand-supply supporting relationship between suppliers andcustomers in China Automobile Industry Enterprises and AdministrativeOrganizations Information Book (2010) and establishes a national city network. Theanalysis starts from discussing the features of network topological structure and spaceassociation rules, and then processes to identify the differences of cities’ networkposition from the angle of network centrality and network power, concludes withexploring the different approaches linking to the world city network of typical cities.The conclusions are as follows:(1)This is a low density network with several network central cities, and it tends toform an organizational concentration of transactions with more trade groups. Toexamine the transaction linking of the whole from the perspective of BooleanNetwork and weighted network, the variation of linking scale and linking strength ofsupplying cities are more obviously than those of costumer cities. It generally meetthe conditions that the hierarchy of linking scale is higher,the linking strength isstronger. In addition, the largest centers of linking scale and linking strength areidentical, They are Shanghai, Changchun, Beijing, Shiyan, Wuhan.(2)There exists five trade groups which center on Shanghai, Changchun, Beijing,Shiyan and Wuhan. Each group include both the sharing city members and thedependent city members whose demand-supply supporting relations are complicated.Shanghai connects the Northeast area, Beijing-Tianjin district and Southwest are withthe strongest transaction linking to form the network backbone, at the same time links the Northeast area and Central China with strong transaction linking to develop thesecondary backbone network. And another secondary backbone network are formedbetween the area of Central China and the Southwest China.(3)The degree centrality(linking scale), closeness centrality and betweennesscentrality have positive impact on recursive centrality and recursive power, and thethe index values is higher,the impact is stronger. Meanwhile the city nodes in thisnetwork are accords with the condition that more central city have more power, lesscentral city have less power. However, there are five types of typical cities whichare different network position features on the aspect of centrality and power. As far asfive largest central cities be concerned, Shanghai is most central but not as powerfulas Changchun, the centrality and power of Beijing are less than Changchun andShanghai but more than Chongqing and Shiyan. Shiyan is more powerful but notcentral as Chongqing.(4) The city nodes in the national city network link up to the world city networkthrough different approaches. The central cities in the auto parts demand-supplysupporting network link up to the WCN mainly by the management of globalheadquarter cities on technology and production processes within the GCC. However,the import-dominant cities have three approaches. One involves taking equal technicalcooperation with cities in developed countries. Another is by keeping control linkswith production base cities in Asia, Africa, Latin America, and in other developingcountries. The third approach involves maintaining trade links by exporting completemerchandise to global cities. Export-dominant cities primarily link with the WCN bytrading components.