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传统产业集群的网络结构特征及其影响因素识别——基于复杂社会网络分析法 被引量:7

Identification of Network Structure Characteristics and Influencing Factors of Traditional Industrial Clusters:Based on Complex Social Network Analysis
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摘要 为进一步打造出若干世界级先进制造业集群,促进全球制造大国走向制造强国。本文以安徽省六安市叶集木竹产业集群为例,在调研采集数据的基础上,运用复杂社会网络分析法,构建集群网络并描绘出集群演化中的网络结构特征变化及其影响因素。结果表明,集群演化中的网络结构呈均匀化、多元化趋势,其促进因素为环保政策、市场需求和劳动力,限制因素主要是人力资本和研发投入,而外资介入、政策优惠作用有待完善。因此,集群未来发展中应着力制定切合实际的优惠政策、加强集群内企业合作学习、培育企业家团队、构建强有力的人力资本。 In order to further create a number of world-class advanced manufacturing clusters and promote major manufacturers across the world into manufacturing powers.The Yeji Wood and Bamboo Industrial Cluster in Lu’an City,Anhui Province is taken as an example,collecting data through investigation,using complex social network analysis methods to build the cluster network,describing the changes in network structure characteristics and their influencing factors in the evolution of the cluster.The trend of homogeneity and diversification in the evolution of cluster’s network structure has been found.The promotion factor is environmental protection policy,market demand and labor,the restriction factor is human capital and R&D investment,the influences of foreign intervention investment and the preferential policies need to be improved.Therefore,the development of the cluster in the future should focus on formulating practical preferential policies,strengthening cooperation and learning among enterprises in the cluster,cultivating entrepreneurial team,and building strong human capital.
作者 汤小银 马骥 吴梦君 Tang Xiaoyin;Ma Ji;Wu Mengjun(Northeast Normal University,School of Geographical sciences,Changchun 130024,China;Anhui Normal University,School of Economics and Management,Wuhu 241002,Anhui,China)
出处 《技术经济》 CSSCI 北大核心 2020年第12期147-154,共8页 Journal of Technology Economics
基金 安徽高校人文社会科学重大研究项目“创新生态系统视角下的安徽省产业集群升级研究”(SK2019ZD25)。
关键词 产业集群 网络结构 块模型 QAP分析 木竹 industrial cluster the network structure block model QAP analysis wood and bamboo
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