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Sustainability 2017, 9(7), 1165; doi:10.3390/su9071165

An Evolutionary Game Study of an Ecological Industry Chain Based on Multi-Agent Simulation: A Case Study of the Poyang Lake Eco-Economic Zone

School of Information Technology, Jiangxi University of Finance and Economics, No.168, East Shuanggang Road, Chang bei, Nanchang 330013, China
Received: 7 April 2017 / Revised: 29 June 2017 / Accepted: 1 July 2017 / Published: 4 July 2017
(This article belongs to the Section Economic, Business and Management Aspects of Sustainability)


With rapid economic growth, the ecological environment is subject to a huge test. The environment has become a bottleneck restricting the further development of the economy. Built on waste recycling, ecological industry chain is an important way to realize the sustainable development of economy and society. This paper establishes a three stage evolutionary game model of ecological industry chain. By mathematically analyzing the equilibrium points of replicator dynamics equations, we get the evolutionary stable strategies. By studying the evolutionary rules and taking the bottom-up modeling method, this paper constructs a multi-agent computational experimental model to analyze the evolutionary paths and trend of each subject. Besides, the case of Poyang Lake ecological economic zone is applied to verify the evolutionary game model. View Full-Text
Keywords: eco-industrial chain; sustainability; ESS; multi-agent simulations eco-industrial chain; sustainability; ESS; multi-agent simulations

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This 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. (CC BY 4.0).

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Chen, S.-H. An Evolutionary Game Study of an Ecological Industry Chain Based on Multi-Agent Simulation: A Case Study of the Poyang Lake Eco-Economic Zone. Sustainability 2017, 9, 1165.

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