Research on Industrial Clusters Networks Degree Distribution Evolving Features Based on Expected Return Factor

Abstract:

The key that firms constructing and maintaining the coordination relations in industrial clusters was the pursuit for profit. The pursuit dominated the evolving of industrial clusters networks structure. And it was featured in the dynamic evolving of its degree distribution. The industrial clusters networks degree distribution model was presented based on expected return factor by use of mean-field theory. Its evolving phase features were also studied by using simulation method. The main findings were as follows: (i) the model had the both properties of BA model and exponential distribution model and it was the extension of them. (ii)The industrial clusters networks degree distribution had scale-free property. The power exponent was influenced by the number of new added edges, proportion of complementary firms, expected return and its weight. Its value was larger than one. (iii)The degree distribution fluctuated regularly as the life cycle of industrial clusters. The main trend was getting more and more gentle. That was to say there would be more focal firms and not only first -come-first-rich and rich-get-richer. (iv)The exponent was larger in higher risk industrial clusters. (v)Complementary industrial clusters would more likely evolve to the central satellite type structure.

• Periodical: Advanced Materials Research (Volumes 361-363)
• Pages: 1211-1221
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.361-363.1211
• Online since: October 2011
• Authors: Yong Jun Wang, Xun Jiang Huang
• Keywords: BA Model, Degree Distribution, Evolving, Expected Return Factor, Industrial Clusters Network

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