Abstract
This paper presents a novel method to explore the relationship between dynamics mergers and the evolution of industrial competition by introducing complex network tool. By taking China’s beer industry as an example, we established Markets-Firms bipartite time series networks, weighted Markets-Firms time series networks and industrial competition time series networks by using the data from 1992 to 2009. Through analyzing the changes of topology index of these networks, we find that dynamic mergers play a key important role in the evolution of industrial competition. The results show that dynamic mergers promote the fragmented local markets to be consolidated into a global market for China’s beer industry, and it also shows the process that competitive relationship among the rivals turns from some single segmented markets to a global cross-market. This paper gives a new view to observe the changing of industrial competition driven by dynamic mergers.
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Hou, R., Yang, J., Yao, C. (2012). Dynamic Mergers Drive Industrial Competition Evolution: A Network Analysis Perspective. In: Huang, R., Ghorbani, A.A., Pasi, G., Yamaguchi, T., Yen, N.Y., Jin, B. (eds) Active Media Technology. AMT 2012. Lecture Notes in Computer Science, vol 7669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35236-2_46
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DOI: https://doi.org/10.1007/978-3-642-35236-2_46
Publisher Name: Springer, Berlin, Heidelberg
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