摘要
借鉴流体力学的井群渗流原理,引入集群集聚度、知识粘性、知识位势、知识距离和吸收能力等变量,构建了产业集群知识溢出模型。其中,集群集聚度、知识粘性和吸收能力相对其他因素更具有可控性,将提高集群集聚度、降低知识粘性、增强企业吸收能力作为提升集群知识溢出效率的三个主要途径。
This paper drew on the principle of well group seepage,introduced the variables such as cluster agglomeration,knowledge stickiness,knowledge potential,knowledge distance and absorptive capacity,and built the knowledge spillover model of industrial clusters.Among them,cluster agglomeration,knowledge stickiness,and absorption capacity are more controllable relative to other factors.This paper established cluster agglomeration improvement,knowledge stickiness reduction and absorptive capacity enhancement as the three main routes of enhancing knowledge spillover efficiency.
出处
《科技与经济》
CSSCI
2013年第1期95-99,共5页
Science & Technology and Economy
关键词
知识溢出
产业集群
井群
渗流
knowledge spillover
industrial cluster
well group
seepage