运筹与管理 ›› 2011, Vol. 20 ›› Issue (5): 103-112.

• 应用研究 • 上一篇    下一篇

基于投入产出表的区域价值链集群识别研究——以上海为例

卢戎, 于丽英   

  1. 上海大学 管理学院, 上海 200072
  • 收稿日期:2010-05-04 出版日期:2011-10-25
  • 作者简介:卢戎(1986-),女,硕士研究生,研究方向:系统科学与战略创新;于丽英(1969-),女,教授,博士生导师,研究方向:系统科学与战略创新。
  • 基金资助:
    上海市科技发展基金项目(08692101400)

Identification of Regional Value-Chain Cluster Based on Input-Output Table: A Case Study of Shanghai

LU Rong, YU Li-ying   

  1. School of Management, Shanghai University, Shanghai 200072,China
  • Received:2010-05-04 Online:2011-10-25

摘要: 区域价值链集群分析是集群分析作为区域经济创新性和竞争优势分析工具的重要表现形式。而区域价值链集群识别是进行区域价值链集群分析的第一步。为了实现区域价值链集群依据经济系统各部门间网络互动联系来确定其核心主导产业及其前后向密切关联产业的识别目标,本文选取了以最大值法和投入产出分析法相结合的区域价值链识别方法。由此进行的识别研究表明,上海共有通信、化工、通专、金属、石油核燃料五类价值链集群,它们通过内部和彼此间的互动交织构成了密切关联的网络,并在很大程度上反映了上海经济系统的核心组成。而相应的经济技术分析表明,通专价值链集群将很有可能在上海大力发展先进制造业的产业结构升级大背景下赶超通信价值链集群而成为新一轮发展的亮点。

关键词: 产业集群, 集群识别, 最大值法, 投入产出分析法, 价值链集群

Abstract: Analysis of regional value-chain cluster is one of the important analysis tools of regional economic innovation and competitive advantages. And the identification of regional value-chain cluster is the first step of it. To fulfill the goal of identifying core sector and its closely related ones which compose a regional value-chain cluster based on input-output network, a different identification method has been chosen in this paper with the combination of method of maxima and input-output analysis. According to the results of the case study, there are five regional value-chain clusters in Shanghai, whose core sectors are Manufacture of Communication Equipment, Computers and Other Electronic Equipment(A), Chemical Industries(B), Manufacture of General and Special Purpose Machinery(C), Smelting and Pressing of Metals(D)and Oil Processing, Coking and Nuclear Fuel Processing(E)respectively. The network created by inside and outside interaction among these five value-chain clusters largely covers the core composition of economic system in Shanghai. And the following economic and technological analysis indicates that the Value-Chain Cluster C is likely to be a new star surpassing the Cluster A in the background of vigorous development of advanced manufacturing in Shanghai.

Key words: industrial cluster, identification of cluster, method of maxima, input-output analysis, value-chain cluster

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