Strategy of Cluster Innovation in the Economic Transformation of Resource Cities of China: Experiences of Britain and Germany
International Journal of Business and Economics Research
Volume 5, Issue 5, October 2016, Pages: 176-182
Received: Aug. 31, 2016; Accepted: Sep. 18, 2016; Published: Oct. 26, 2016
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Tao Meng, Surrey International Institute, Dongbei University of Finance and Economics, Dalian, P.R. China
Andrew M. Forman, Frank G. Zarb School of Business, Hofstra University, New York, US
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The economic transformation of resource cities is one universal economic difficulty. The resource cities in China are confronted with double difficulties at the same time-resource exhaustion and economic system transformation. The economic transformation and social stableness of such cities are the important issues in the development and reformation of China. Industrial clusters are the network organizations of cooperative innovation and the effective polices to improve the regional development. It is very necessary for Chinese cities to improve the innovation and cooperation among organizations by industrial clusters and formulate industrial policies in relevant industries to promote the improvement of regional innovation capability and economic transformation. The resource cities will be transformed from old industrial regions based on the natural resources and capital into innovative industrial cluster based on the regional innovation capability and competence edge of the industry. This paper analyzes the conception of cluster innovation and introduces some experiences of Britain and Germany, then researches how the Chinese resource cities apply the strategy of cluster innovation to strengthen the regional innovation capability.
Cluster Innovation, Economic Transformation, Industrial Cluster, Resource Cities
To cite this article
Tao Meng, Andrew M. Forman, Strategy of Cluster Innovation in the Economic Transformation of Resource Cities of China: Experiences of Britain and Germany, International Journal of Business and Economics Research. Vol. 5, No. 5, 2016, pp. 176-182. doi: 10.11648/j.ijber.20160505.16
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This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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