Analysis on regional industries based on input output table and SNA: A case of seven provinces in Eastern China
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摘要: 产业经济联系是分析产业集聚,阐明产业结构和产业关联的重要基础.本研究运用社会网络分析理论与方法,以华东七省(市)为例,对2002年和2007年42个产业部门网络进行了测度,计算了产业间的聚类系数、节点中心度、节点中介度和接近中心度,开展了中心性分析.华东七省(市)42个产业部门耦合度上海市最高,安徽省最低;产业部门以某几个产业为核心,经济联系围绕主要产业展开,具有明显的级差性;初步形成8个凝聚子群,子群内的产业经济联系比较密切,相互关联系数较高,呈现一体化发展的趋势.本研究对产业经济联系的定量化研究以及制定产业结构调整等相关政策有参考价值.Abstract: Industrial relationship is the basis of investigating the industrial agglomeration, understanding the industrial structure and clarifying the industrial associations. By employing the methodology of Social Networking Analysis (SNA) based on the 2002 and 2007 InputOutput Table, this paper aims to carry out the quantitative study on the industrial relationship, measure the economic ties degree and identify the various functions of different industries. By taking the seven provincial regions located in Eastern China as cases, 42 industrial sectors are studied by calculating the cluster degree, nodes centrality, nodes intermediary, and closedegree to the center. The results show that, Shanghai has the highest industrial coupling degree while Anhui province is the lowest; the industries have different levels, and about 8 clusters have been formed, such a close industrial economic relationship means that the tendency of economic integration. The results of this study could provide quantitative analysis of industrial relationship and restructuring the industries.
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Key words:
- input output table /
- social networking analysis /
- industrial structure
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