| As a competitive form of economic organization, furniture industrial cluster is not only the research hot spot, but also the effective way to promote national and regional economic development, to participate in the fierce competition between industries. On the background that Chinese furniture industrial cluster need being upgraded quickly, the evolution model of the network structures of furniture industrial cluster is put forward, based on the combination of ecology, genetics, biology, social network theory, complex network theory. And the performances of furniture typical industrial cluster networks are analyzed and tested.Location quotient method is improved and used to identify the industrial clusters, which shows that furniture industries in Suzhou and Changzhou have created a more visible phenomenon of industrial clusters. To analyze the evolution of industrial cluster, the evolution after the impact of financial crisis of industrial cluster is simulated. The results show that Chinese furniture industry should ace the challenges of the financial crisis bravely and use the opportunity to adjust the industrial structure.The formation of typical network structures of furniture industry cluster is simulated. The analysis of network performances of furniture industry cluster is mainly on their knowledge liquidity, robustness and competitiveness. On the base of typical network structures, simulation of knowledge liquidity is carried on and the results are compared and analyzed. On the analysis of the robustness of furniture industry cluster network, typical models are established firstly, then simulates the attack by different means to analyze the robustness. The evaluation system of the competitiveness of industry cluster network is also put forward.In the empirical analysis, the structures of furniture industry cluster in Nanjing, Wenzhou, Shanghai are used to compare, and their knowledge liquidity, robustness and competitive are also analyzed. Empirical results are compared with the simulation, which shows that furniture industry cluster network in Nanjing is discrete structure, and Wenzhou and Shanghai are satellite structure. Knowledge liquidity of the latter two are relatively good. However, when facing the deliberate attacks, the robustness of Nanjing and Wenzhou are poor robustness, and Shanghai is the best. The optimization ideas of network structures of industrial cluster and the advices how to enhance the level of furniture industry cluster are put forward finally. |
