产业技术流网络构建与结构效应研究

摘要

From the perspective of complex network to describe the inter-industrial technology diffusion,this paper developed the modeling and structural analysis method of Industry Technology Flow Network (ITFN) based on Probability Theory and Network Technology.ITFN is defined as random,dynamic and complex network.The connection rule of V-ITFNs based on the joint probity distribution of the dimensional random variables of the product innovation and the process innovation was proposed and H-ITFNs were built according to the similarity of industry technology.On the ITFNs,the degree distribution and correlation revealed the dynamic structural effects of the inter-industry technology diffusion.Such optimization models as the center-periphery hierarchical network and trees showed the driving effects of technology diffusion on the industrial structure upgrading.And the centrality characterized the spilling,assimilating and conduction effects of the industry.The models were verified by the Chinese industrial technology system.%以复杂网络描述产业间技术扩散,基于概率论和网络技术设计产业技术流网络建模与结构效应分析方法,提出产业技术流网络(ITFN)概念及其随机、动态、多层和复杂性特征.改进Weaver指数,根据产业产品与流程创新二维随机变量联合概率分布确定产业节点连接规则,构建垂直型ITFN,测度产业间技术共同度,构建水平型ITFN.以ITFN度分布与度相关揭示产业技术扩散结构整体与动态效应,以中心-外围分层网络、产业技术流树展现产业结构升级动力效应,以中心度测度产业技术流吸收、溢出与中介个体效应,以中国工业产业技术扩散系统为实例进行有效性验证.