基于产业网络的K-核关联结构识别关键产业群——以“鲁粤”二省为例

发布时间：2018-03-07 13:25

本文选题：关键产业群　切入点：产业网络　出处：《经济问题探索》2015年08期 　论文类型：期刊论文

【摘要】：采用产业网络上的K-核关联结构方法识别关键产业群,通过关键产业群的产业关联强度与产业关联结构两方面异质性来进行"鲁粤"二省产业结构的区域比较。依据产业网络理论,归纳了关键产业群的形成与作用机理,提出了关键产业群识别的"k-核度基准"识别方法并设计了相应指标体系,并对"鲁粤"二省关键产业群做了实证和比较分析。研究结果表明:"鲁粤"二省关键制造业群、生产性服务业以及能源工业等关键产业群构成上差异明显;两省关键产业群的"集聚效应"与"扩散效应"等产业关联特征表现恰好相反;而在关键产业群对地区国民经济的影响上看,"鲁粤"二省均呈现出制造业的总体影响较大,而生产性服务业的总体影响较小的特征。
[Abstract]:The key industrial clusters are identified by using the K- core correlation structure method on the industrial network. The regional comparison of the industrial structure of "Shandong and Guangdong" provinces is carried out through the heterogeneity of the industrial association intensity and the industrial association structure of the key industrial clusters. According to the theory of industrial network, the formation and action mechanism of the key industrial clusters are summarized. This paper puts forward the method of "k- core benchmark" for the identification of key industrial clusters and designs the corresponding index system, and makes an empirical and comparative analysis on the key industrial clusters of "Shandong and Guangdong" provinces. The results show that the key manufacturing groups of "Shandong and Guangdong" are the key manufacturing groups in the two provinces. The composition of the key industrial clusters such as producer service industry and energy industry is obviously different, the "agglomeration effect" and "diffusion effect" of the key industrial clusters in the two provinces are just opposite. In terms of the impact of the key industrial clusters on the national economy of the region, the two provinces of "Shandong and Guangdong" have the characteristics that the overall impact of manufacturing industry is greater, while the overall impact of producer services is relatively small.
【作者单位】：山东大学;济南大学;
【基金】：国家自然科学基金:区域间产业关联网络模型构建及相关优化问题研究(71371108),主持人:赵炳新济南大学科研基金项目:产业关联维度的产业集群形成及作用机理研究(X1322),主持人:杜培林
【分类号】：F127;F224

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