基于知识流动的创新活动空间分布演化机理研究
发布时间：2019-06-04 06:05
【摘要】：网络经济条件下,知识流动的空间内涵发生了改变,基于空间视角的知识溢出研究受到冲击,催生了知识流动理论与发展现实的矛盾。 本文在对知识流动及创新活动空间分布内涵进行阐述的基础上,构建知识流动的概念模型以及知识在区域之间流动的空间动态一般均衡模型,从理论上探讨网络经济条件下知识流动的规律,进而从知识流动的角度揭示创新活动空间分布的演化机理。 第一,在阐述创新活动空间分布内涵的基础上,使用经典空间分布测度指标,以州为空间单元,对美国创新活动空间分布状态及其在时间变化趋势进行描述分析。测度结果显示：从1963年到1999年,GE(0)指数、GE(1)指数、Gini系数及E-G指数测度的创新活动空间集聚程度均呈现先下降后上升的趋势；而Moran's I指数测度的空间集聚程度则呈逐渐下降趋势,表明创新活动集中区域在空间上呈现逐年分散趋势。 第二,在厘清知识流动概念内涵的基础上,提炼知识流动的主要途径及影响因素,基于Meusburger的知识流动模型构建反映知识流动的定性模型,论述网络经济条件下知识流动的新特征,以美国为样本,使用大时间跨度的专利引用数据,检验有关知识流动的空间特征及变化趋势的假设。研究结果证实了基于定性模型的推论,表明：以专利引用表征的美国州际知识流动呈现较高的本地化特征以及距离衰减特征,然而随着时间的推移,两种特征均呈现减弱态势,但空间对于知识流动的影响并未完全消失。 第三,对Baidwin的本地化溢出模型进行改进,分析基于知识流动程度的长期均衡状态,通过动态模拟,阐明基于知识流动的创新活动空间分布演化机理。研究结果表明：知识流动是促进整个经济体创新活动空间分散的力量；贸易自由度增加在上述过程中起到反向作用,是促进整个经济体创新活动空间集聚的力量；创新活动分布和经济分布之间存在正向协同效应；在贸易自由度不断增加的背景下,知识流动程度增加引起的创新分布长期均衡演化路径呈现多样性的特征。 第四,在分析美国创新活动空间分布及州际知识流动状态的基础上,从美国整体以及典型区域两个维度,探讨知识本地化和区域间两种知识流动对不同维度的区域整体创新空间分布及创新高、中、低水平区域创新份额的影响,考察知识流动的创新活动空间分布演化效应,验证并完善知识流动创新活动空间分布演化效应的理论研究。检验了知识流动的创新活动空间分布演化模型提出的若干假设,研究还发现：本地化流动对于创新集中区域空间分布的影响不显著；以专利引用表征的知识流入和知识流出对于该区域的创新份额影响存在明显差异,前者提高区域的创新份额,而后者降低区域的创新份额。
[Abstract]:Under the condition of network economy, the spatial connotation of knowledge flow has changed, and the research of knowledge spillover based on spatial perspective has been impacted, which has given birth to the contradiction between knowledge flow theory and development reality. On the basis of expounding the connotation of spatial distribution of knowledge flow and innovation activities, this paper constructs the conceptual model of knowledge flow and the spatial dynamic general equilibrium model of knowledge flow between regions. This paper theoretically discusses the law of knowledge flow under the condition of network economy, and then reveals the evolution mechanism of spatial distribution of innovation activities from the point of view of knowledge flow. First, on the basis of expounding the connotation of spatial distribution of innovation activities, using the classical spatial distribution measurement index, taking the state as the spatial unit, this paper describes and analyzes the spatial distribution state of innovation activities in the United States and its changing trend in time. The measurement results show that the spatial agglomeration degree of innovative activities measured by, GE (0) index, GE (1), Gini coefficient and E 鈮，
本文编号：2492525
[Abstract]:Under the condition of network economy, the spatial connotation of knowledge flow has changed, and the research of knowledge spillover based on spatial perspective has been impacted, which has given birth to the contradiction between knowledge flow theory and development reality. On the basis of expounding the connotation of spatial distribution of knowledge flow and innovation activities, this paper constructs the conceptual model of knowledge flow and the spatial dynamic general equilibrium model of knowledge flow between regions. This paper theoretically discusses the law of knowledge flow under the condition of network economy, and then reveals the evolution mechanism of spatial distribution of innovation activities from the point of view of knowledge flow. First, on the basis of expounding the connotation of spatial distribution of innovation activities, using the classical spatial distribution measurement index, taking the state as the spatial unit, this paper describes and analyzes the spatial distribution state of innovation activities in the United States and its changing trend in time. The measurement results show that the spatial agglomeration degree of innovative activities measured by, GE (0) index, GE (1), Gini coefficient and E 鈮，
本文编号：2492525
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