An empirical study on the relationship between industrial network structure and industrial growth

摘要

Based on the transfer data from 2009 to 2014 of the A Bank in Yiwu city (the largest bank in the local), this article construct the industrial network of Yiwu City by using complex network research method; then in this paper, it selects manufacturing industries in Yiwu city as a sample and analyzes the non - linear relationship between industrial network structure and industrial growth with the modified variable regression analysis method. Research indicates that: (1) the industrial network structure has different effects on industrial growth, (2) The in-degree, out-degree, weighted in-degree, weighted out-degree of the industrial network structure are the semi-regulatory variables to impact industrial added value, (3) Closeness centrality and clustering coefficient of the industrial network structure are the purely regulated variable to impact industrial added value.