高技术产业集群创新集成能力生态整合研究

发布时间：2018-01-27 04:36

本文关键词： 高技术产业集群创新生态系统知识生态位创新集成能力　出处：《武汉科技大学》2016年硕士论文　论文类型：学位论文

【摘要】：高技术产业集群是新时期下国家和地方经济发展的战略核心,是促进新形势下我国经济转型的关键,如何构建高技术产业集群创新生态系统,实现集群创新能力的可持续被提到国家创新战略的层面。然而,如今高技术产业集群的发展却存在着产业发展不协调,产业链不完善,产业分工被锁定在价值链低端,创新能力不可持续等问题,这些制约着高技术产业集群的发展,因此本文将从生态学、系统论、集成思想等观点出发,对高技术产业集群创新集成能力的相关问题进行一系列有意义的探索。本文以集群创新系统、集群生命周期、创新集成能力、企业创新生态等理论为基础,运用数学建模、因子分析、方差分析、结构方程模型检验等定量分析方法,从企业创新集成能力的分析入手,层层递进,最终对集群创新集成能力的相关问题进行了深入研究。本文首先从企业生态位的概念出发,根据博弈论思想建立了高技术产业集群创新集成能力知识生态位整合模型并通过对湖北东湖高新区的案例研究分别剖析了产业链不同环节间、产业链同环节内企业知识生态位整合机理,利用所推导的公式计算出了“适宜”的知识生态位经验值并从集群的生命周期角度详细讨论了知识生态位整合在集群层面的演化规律。其次,本文在机理研究的基础上,通过文献回顾梳理了创新集成能力的重要影响因素,利用结构方程模型进行了一阶因素模型和二阶因素模型的假设检验,通过模型修改构造了高技术产业集群企业创新集成能力生成的路径模型,重点讨论了因素间的相互关系并结合集群生命周期理论探讨了创新集成能力在集群层面的表达,解析了集群创新集成能力演化的边界条件。再次,本文在前面研究的基础上,从动态演化的角度,对构建创新型高技术产业集群、促进集群创新生态系统能力提升等相关问题给出了详细的政策建议,具有良好的现实意义。最终,本文在最后一章对全文进行了总结,分析了研究的不足并对未来的研究方向给予了展望。
[Abstract]:High-tech industrial cluster is the strategic core of the national and local economic development in the new period, and the key to promote the economic transformation in China under the new situation. How to build the high-tech industrial cluster innovation ecosystem. The sustainable realization of cluster innovation ability has been mentioned as the level of national innovation strategy. However, nowadays, the development of high-tech industrial cluster is not coordinated and the industrial chain is not perfect. The industrial division of labor is locked in the low end of the value chain, the innovation ability is not sustainable, which restricts the development of high-tech industrial cluster, so this paper will proceed from the view of ecology, system theory, integration thought and so on. This paper is based on the theories of cluster innovation system, cluster life cycle, innovation integration ability, enterprise innovation ecology and so on. Using mathematical modeling, factor analysis, variance analysis, structural equation model test and other quantitative analysis methods, from the enterprise innovation integration ability analysis, layer by layer progressive. Finally, the related problems of cluster innovation integration capability are deeply studied. Firstly, this paper starts with the concept of enterprise niche. According to the idea of game theory, this paper establishes the knowledge niche integration model of innovation integration ability of high-tech industrial cluster and analyzes the different links of industrial chain through the case study of Hubei Donghu High-tech Zone. The integration mechanism of enterprise knowledge niche in the same link of industry chain. The empirical value of "suitable" knowledge niche is calculated by using the derived formula, and the evolution law of knowledge niche integration at the cluster level is discussed in detail from the point of view of the cluster life cycle. Secondly. On the basis of mechanism research, this paper reviews the important factors of innovation integration ability, and uses structural equation model to test the hypothesis of first-order factor model and second-order factor model. Through the modification of the model, the paper constructs the path model of the innovation integration ability generation of high-tech industrial cluster enterprises. This paper mainly discusses the relationship between the factors and discusses the expression of innovation integration ability at the cluster level combined with the theory of cluster life cycle, and analyzes the boundary conditions of the evolution of innovation integration capability in cluster. Thirdly. On the basis of the previous research, from the perspective of dynamic evolution, this paper gives detailed policy recommendations on the construction of innovative high-tech industrial clusters, promoting cluster innovation ecosystem capacity enhancement and other related issues. It has good practical significance. Finally, this paper summarizes the full text in the last chapter, analyzes the deficiency of the research and gives the prospect of the future research direction.
【学位授予单位】：武汉科技大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F276.44

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