GEOGRAPHICAL RESEARCH ›› 2009, Vol. 28 ›› Issue (3): 738-750.doi: 10.11821/yj2009030018

• Economy and Regional Development • Previous Articles     Next Articles

The evolution of networks in traditional manufacturing clusters of undeveloped rural areas: The case of steel measuring tape cluster in Nanzhuang Village, Yucheng County, Henan Province

LI Er-ling, LI Xiao-jian   

  1. Research Center of Yellow River Civilization and Sustainable Development|College of Environment and Planning, Henan University, Kaifeng 475001, China
  • Received:2008-08-17 Revised:2008-11-27 Online:2009-05-25 Published:2009-05-25
  • Supported by:

    国家自然科学基金重点项目(40535025)资助; 教育部人文社会科学重点研究基地重大项目(2007JJD790124)资助; 河南省2008年度高校科技创新人才(人文社科类)支持计划资助。

Abstract:

This paper uses the social network analysis (SNA) to examine the evolution of networks in traditional manufacturing clusters of undeveloped rural areas, based on the case of steel measuring tape cluster in Nanzhuang village, Yucheng county, Henan province. By contrasting the network structure and characteristics of the spin-off networks in initial stage with that of the emotion networks, advice networks and cooperation networks in present stage in the cluster, it finds the particularities of evolution of networks in traditional manufacturing clusters of undeveloped rural areas, such as the auto-organizational principle of this kind of clusters. In the process of this evolution, the changing of the size, status, capabilities of the enterprises or the community environmental changes may alter the core relations in cluster network. The evolution of networks in traditional manufacturing clusters of undeveloped rural areas can be divided into four stages, that is, the family-extensive family networks, the division-production networks, the local innovation networks and the global supply networks. The different types play different roles in different stages of cluster development. Meanwhile, the intrinsic capabilities and the extrinsic contracts of enterprises also match the network stages respectively.

Key words: evolution, networks, steel measuring tape cluster, social network analysis, rural areas of central China