基于创新网络的山东省农业产业集群究竞争力研究

发布时间：2018-05-11 09:29

本文选题：创新网络 + 农业产业　；参考：《青岛科技大学》2014年硕士论文

【摘要】：自马歇尔开创了产业集群研究的先河以来,学者们对产业集群理论的研究热情从未衰退。究其原因,产业集群不仅可以带动集群内企业的发展,还可以带动一个区域的经济发展,甚至可以提升国家的竞争力。对产业集群研究的一个重要方向,是对产业集群竞争力的研究。近年来,对于产业集群的研究已由最初的宏观层面进入到现在的“微观时代”,并且有越来越多的研究把产业集群和其他理论融合起来形成了新的研究方向,创新网络的相关理论就诞生于以创新为基本要素对产业集群进行的研究中。以此为背景,本文选取山东省农业产业集群为研究对象,首先对产业集群、竞争力及创新网络的相关理论进行了梳理,在此基础上,通过对山东省农业产业集群的现状及发展历程进行的分析,简单介绍了山东省农业产业集群的概况并介绍了山东省内几个发展较好、具有特色的农业产业集群。然后通过对创新网络主体及其联结关系的研究,分析了以创新网络为视角的山东省农业产业集群竞争力影响因素,阐明了创新网络对于产业集群竞争力的影响方式,并结合这些影响因素对以创新网络为视角的山东省农业产业集群竞争力优劣势进行了分析。基于以上分析,根据农业产业集群竞争力指标的选取原则,按照创新网络的结构特点构建了农业产业集群竞争力评价指标体系,并应用SPSS软件对19个省的数据进行了因子分析,根据分析得出的因子,构建了基于创新网络的农业产业集群竞争力评价模型。根据该模型,对山东省的农业产业集群的竞争力与其他18个省进行横向比较,以评价山东省农业产业集群竞争力在国内的地位,然后根据对数据的分析,找出山东省农业产业集群竞争力存在的不足,结合实际情况,对分析结果进行简要评述。在此基础上,针对性的提出了促进山东省农业产业集群竞争力提高的建议,为政府部门制定相关政策、完善产业集群的建设、提高集群竞争力提供参考。
[Abstract]:Since Marshall pioneered the study of industrial clusters, scholars' enthusiasm for the theory of industrial clusters has never declined. The reason is that industrial cluster can not only promote the development of enterprises in the cluster, but also promote the economic development of a region, and even enhance the competitiveness of the country. An important direction of industrial cluster research is the study of industrial cluster competitiveness. In recent years, the research on industrial clusters has entered the "microscopic era" from the initial macro level, and more research has integrated industrial clusters with other theories to form a new research direction. The theory of innovation network is born in the research of industrial cluster based on innovation. Based on this background, this paper selects the agricultural industrial cluster of Shandong Province as the research object, firstly combs the relevant theories of industrial cluster, competitiveness and innovation network, and on this basis, Based on the analysis of the present situation and development course of agricultural industrial cluster in Shandong Province, this paper briefly introduces the general situation of agricultural industrial cluster in Shandong Province, and introduces several agricultural industrial clusters with better development and characteristics in Shandong Province. Then, through the research on the main body of innovation network and the relationship between them, this paper analyzes the factors influencing the competitiveness of Shandong agricultural industrial cluster from the angle of innovation network, and expounds the influence mode of innovation network on the competitiveness of industrial cluster. Combined with these factors, the competitive advantages and disadvantages of Shandong agricultural industrial cluster from the perspective of innovation network are analyzed. Based on the above analysis, according to the selection principle of agricultural industrial cluster competitiveness index, according to the structural characteristics of innovation network, the evaluation index system of agricultural industrial cluster competitiveness is constructed, and the data of 19 provinces are analyzed by using SPSS software. Based on the analysis of the factors, the evaluation model of agricultural industrial cluster competitiveness based on innovation network is constructed. According to this model, the competitiveness of agricultural industrial clusters in Shandong Province is compared with that of the other 18 provinces in order to evaluate the competitiveness of agricultural industrial clusters in Shandong Province in China, and then according to the analysis of the data, To find out the disadvantages of agricultural industrial cluster competitiveness in Shandong Province, combined with the actual situation, to briefly comment on the results of the analysis. On this basis, the paper puts forward some suggestions to promote the competitiveness of agricultural industrial clusters in Shandong Province, which provides a reference for government departments to formulate relevant policies, improve the construction of industrial clusters and improve the competitiveness of clusters.
【学位授予单位】：青岛科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F327

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