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我国制造业产业关联及网络效应研究——基于投入产出法与社会网络分析法的对比
引用本文:郑伟,李庆晗. 我国制造业产业关联及网络效应研究——基于投入产出法与社会网络分析法的对比[J]. 阅江学刊, 2013, 0(4): 95-101
作者姓名:郑伟  李庆晗
作者单位:南京信息工程大学,南京,210044
基金项目:教育部人文社会科学青年基金项目“国际金融危机背景下中国制造业创新发展与技术转移相容性研究”(12YJC630319);江苏省高校哲学社会科学基金项目“后金融危机时期江苏制造业创新发展与技术转移相融性问题研究”(2010SJB630048);江苏省社会科学基金项目“江苏先进制造业与现代服务业融合发展研究基于技术转移的视角”(10 EYB006);中国制造业发展研究院2012年度开放课题“基于资源约束的新型制造业与创新型国家建设互动发展研究”
摘    要:利用国家统计局颁布的《2007年中国投入产出表》,考察我国制造业产业关联特征;并基于投入产出表中直接消耗系数表,运用社会网络分析方法,对制造业细分行业间的网络效应和网络结构特征进行分析,揭示产业间网络结构内在机理。总体来看,制造业产业部门的影响力系数、感应度系数均呈增长的态势;高新技术产业影响力系数明显上升,感应度系数也有所上升;重工业部门感应度系数排名稳居前列;轻工业中除纺织业外,感应度系数变化不大。

关 键 词:投入产出表  产业关联  社会网络

Research on Industrial Correlation and Network Effect of Manufacturing Industry in China Based on Comparison between Input-Output Method and Social Network Analysis Method
ZHENG Wei , LI Qing-han. Research on Industrial Correlation and Network Effect of Manufacturing Industry in China Based on Comparison between Input-Output Method and Social Network Analysis Method[J]. Yuejiang Academic Journal, 2013, 0(4): 95-101
Authors:ZHENG Wei    LI Qing-han
Affiliation:(Nanjing University of Information Science & Technology, Nanjing 210044, China)
Abstract:The paper studies the relationship characteristics of manufacturing industry through input-output table of 2007 from National Statistical Bureau and uses social network analysis method based on direct con- sumption coefficient table in input-output table to analyze the network effect and network structure in classified manufacturing industry, which demonstrates the internal mechanism inside industry network structure. General- ly, there is an increasing tendency in influence coefficient and response coefficient in manufacturing industry sector. The influence coefficient of high-tech industry cient. The response coefficient of heavy industry stands does not change significantly except textile industry. is increasing significantly and so does response coeffi- on the front line. In light industry, response coefficient
Keywords:input-output table  industry relationship  social network
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