| The analysis of influencing factors of regional industrial growth is a very attractive research topic.There are many factors that have been incorporated into the analysis,such as resources,labor,capital,technology or knowledge,institutions,and spatial factors.These factors either have a direct causal relationship with output or enhance the causal relationship between factors and outputs.The regional economic sectors interdependent through complex supply and demand relations,and they survive and develop in a symbiotic system,and thus promote industrial and regional economic growth.It is a new breakthrough to study the industrial growth from the industrial network perspective.Existing studies have identified the effective linkage of the industry by using the input industry table data to calculate the threshold,in order to build the industrial network.And then use the complex network analysis method to analyze the network structure.Most of these studies only analyzed the structure of the industrial network and did not study the relationship between industrial network structure and industrial growth.The paper,employing the complex network research method and graph thoery,makes use of the transfer datas from A-bank(the largest local bank)in Yiwu City,Zhejiang Province from 2009 to 2014 to build effective network of industry and explore the characteristics of topology structure and implement time deduction analysis.Through constructing the isomorphic industrial networks and heterogeneous industrial networks to display of industrial network development and change intuitively.The industrial cluster in Yiwu industrial network is determined through the community structure.This paper discusses the efficiency of industrial network in industrial development based on regression via moderator.It is found that:First,the characteristics of the industrial network has undergone a phased change,with2012 as the demarcation point,the latter phase of the indicators of the changes are gradually stabilized.Overall,Yiwu City is gradually forming industry-related state with close industrial relations,smooth inter-industry linkages and the initial stage of agglomeration effect.Manufacturing industries and wholesale industry are the most extensive industry within network and have the greatest impact on the local economy.As time goes by,network resources are gradually to gathering to a small part of the industry.Second,most of the industry in Yiwu City,on the basis of maintaining the original contact with other industries within local network,breakthrough the original pattern of industrial relations and develop new links to make the key industries in the industrial networkgradually diversified.Third,the agglomeration of the community has been highlighted year after year.At present,there has formed three types of industrial agglomeration,namely: basic industrial agglomeration,including agriculture,labor-intensive manufacturing industry and the protection of service industry;service industry,including light industry,scientific undertakings and public utilities,etc.;resource industry agglomeration,mainly including agriculture,resource extraction,manufacturing,and then to the construction and circulation industries.Fourth,the manufacturing and wholesale industry are the key industries of Yiwu City.We selected textile and apparel industry as a representative of the manufacturing sector and wholesale industry to build industrial organization networks respectively for 6 years.We found that the two industries are in the mature stage.Finally,the study found that the network structure has different effects on economic development.The in-degree,out-degree,weighted in-degree,weighted out-degree are the semi-regulatory variables to impact industrial added value,which can not only directly affect the industrial added value,but also increase the affection by adjusting the industry’s capital and labor conditions.Closeness centrality and clustering coefficient are the purely regulated variable that affects the industrial added value,which can only influence the industrial added value by influencing the capital and labor of the industry. |