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建设创新型国家已成为我国的战略目标,集群网络已成为我国经济发展的主要形态。本文以集群网络为研究对象,运用复杂网络方法,建立集群网络创新效率测度模型,证明了集群网络内知识的增长率收敛于集群网络拓扑结构的特征值,得出集群网络拓扑结构的特征值会对网络创新效率产生正向影响的结论。运用集群网络创新效率测度模型对德阳重型装备制造业集群网络进行解释和分析,进一步论证了集群创新网络拓扑结构的特征值对创新绩效的影响。最后提出提高集群创新效率的相关政策。
Building an innovative country has become a strategic goal of our country. Cluster network has become the main form of economic development in our country. This paper takes cluster network as the research object and establishes a measure model of cluster network innovation efficiency by using complex network method. It proves that the growth rate of knowledge in cluster network converges to the eigenvalues of cluster network topology, and the eigenvalues of cluster network topology The positive impact on the efficiency of network innovation. This paper uses the model of innovation efficiency of cluster network to explain and analyze the heavy equipment manufacturing cluster network of Deyang, and further demonstrates the influence of the eigenvalues of cluster innovation network topology on innovation performance. Finally, it puts forward some policies to improve the efficiency of cluster innovation.