| As the trend of international economic integration strengthens, the geographic mobility of information, knowledge, technology and other innovative elements have become increasingly frequent, which not only accelerates the emerging industry clusters of germination, but promotes the traditional industrial clusters into the pace of transformation and upgrading. Wood processing industry belongs to the traditional industry, and the plywood industry is one of the most innovative wood processing industries. This thesis that takes the plywood industry cluster in Guangxi as the research object focuses on the analysis of its formation and general situation and characteristics of development. It constructs the influencing factor model of Guangxi plywood industry cluster development level and analyzes the model by the statistical measurement tool to acknowledge the empirical conclusion that the significantly correlated influencing factor on the cluster development level. As a whole, to provide upgrade strategy for Guangxi plywood industry cluster and make some useful reference value.This thesis firstly reviews the relevant theoretical basis and literature and the research on the industry clusters and plywood industry cluster, then briefly expounds the connotation of the plywood industry cluster and the system and development paradigm. Secondly, it analyzes the formation and development process from three aspects of the formation conditions, which includes the formation conditions, development status and development evolution. Furthermore, it empirically analyzes the influencing factors of development level model of plywood industry cluster in Guangxi by spss20.0 statistics tools, and lists in descending order due to the score mean of the influencing factors and gets the five main factors: factor of enterprise management, scientific research and industrial factor, financial factor, resources and environment factor and policy factor, and then analyzes the relationship between five main factors and cluster structure, cluster network and cluster effect though correlation analysis and regression analysis. Finally, according to the empirical results, it proposes upgrade countermeasures and suggestions on Guangxi plywood industry cluster. |