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5 October 2020 Theoretical Explanation of the University Science Park's Operation Mechanism Based on the Game Theory and the Calculation of Optimal Cooperation Strategy
Qitaisong Shen, Ying Zheng, Liwei Bao
Author Affiliations +
Abstract

Shen, Q.T.S.; Zheng, Y., and Bao, L.W., 2020. Theoretical explanation of the University Science Park's operation mechanism based on the game theory and the calculation of optimal cooperation strategy. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 622–627. Coconut Creek (Florida), ISSN 0749-0208.

The construction of the Chinese universities' science park has achieved initial success, with a group of energetic science parks being built. They have become a new focal point integrated with various innovation elements. Nevertheless, the relationship between the University Science Park and the different stakeholders as well as the collaboration mechanism under their respective interests still need to be explored. This paper, based on the multi-party game theory, describes the current operation mode of University Science Park. Especially, the authors using the evolutionary game theory and the mathematical models analyze the interest's mechanism between the University Science Park and the possible resident enterprise. The authors find the key factors under which both the University Science Park and possible resident enterprise may choose the game strategy of information transparent. This study has realistic significance in positioning the development of University Science Park and will promote the interaction between research and practice in this area.

©Coastal Education and Research Foundation, Inc. 2020
Qitaisong Shen, Ying Zheng, and Liwei Bao "Theoretical Explanation of the University Science Park's Operation Mechanism Based on the Game Theory and the Calculation of Optimal Cooperation Strategy," Journal of Coastal Research 104(sp1), 622-627, (5 October 2020). https://doi.org/10.2112/JCR-SI104-105.1
Received: 29 November 2019; Accepted: 26 May 2020; Published: 5 October 2020
KEYWORDS
evolutionary game
game theory
information transparent
resident enterprise
University Science Park
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