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西北地区产业关联网络演变的社会网络分析 被引量:7

Social Network Analysis of Evolution of Industrial Network in Northwestern China
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摘要 区域产业关联网络演化的分析与比较研究是区域产业结构不断完善与升级的重要依据,能为经济发展的现象从结构决定功能的角度提供一定的解释。以我国西北五省为研究对象,基于2002年、2007年的投入—产出表,应用社会网络分析方法(SNA)构造了西北地区整体及西北五省的产业关联网络,计算了特征途径长度、聚类系数、网络中心性、核心—边缘结构等相关指标,绘制了可视化网络结构拓扑图,根据计算结果对西北五省整体及各省份的产业结构及关联网络进行了分析与比较。结果表明,西北地区及西北五省产业关联网络均具有小世界性,中心性较高的为劳动力或资源密集型产业,在网络中发挥着重要作用,但随着时间变化产业结构呈现优化发展的趋势,网络均具有明显的核心—边缘结构,个别产业在网络中居于稳定的核心地位,呈现出一定程度的不均衡发展。 The evolution analysis and comparison study of regional industrial network were the important bases for the industrial structure to be improved and updated continuously, which to some extent, could explain the economic development from the perspective of function determined by the structure. This paper constructed the industrial network of five provinces of northwestern China through applying the method of social network analysis (SNA), based on the input - output table in this area during the year 2002 - 2007. Particularly, this paper computed the characteristic path length, the clustering coefficient, the network density, the centrality, and the core - periphery structure, and then drew the visual network structure topological graph. Furthedy, this paper analyzed and compared the industrial structure and network of five provinces of northwestern China according to above resuhs. It demonstrated that the industrial network of this area was a small - world network, of which labor - intensive industry and resource - integrated industry had the high centrality and played an important role in the network, but the industrial structure turned to be optimization of the development as time changes. Finally, we found all the networks had an obvious core-periphery structure, and they were imbalanced.
出处 《资源开发与市场》 CAS CSSCI 2015年第9期1045-1051,共7页 Resource Development & Market
基金 国家自然科学青年基金项目(编号:41301652 41471462) 高等学校博士学科点专项科研基金项目(编号:20120211120026) 兰州大学中央高校基本科研业务费专项资金资助项目(编号:13LZUJBWZB003)
关键词 产业关联网络 投入—产出 西北地区 社会网络分析 industrial network out - input table area of northwestern China social network analysis
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