Abstract
Government plays important role in the evolution of Industrial Ecosystem. To explore the influence of government’s intervention on IE, an evolutionary game model with adjustment parameters, which represent the intervention actions of government, is established, and then is integrated into multi-agent simulation system. The evolution process of the IE is simulated and analyzed by the simulation with different value of adjustment parameters. The results show that the influence can be different according to the level of government’s intervention, and certain level of intervention actions can guarantee the evolution process of IE towards “Eco-efficiency”.
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References
Bai B, Deng XQ, Gao DH (2011) Multi-agent modeling and simulation for the evolution of organizational routines from the CAS and EGT perspective. J Inf Comput Sci 8(3):495–502
Boons FAA, Baas LW (1997) Types of industrial ecology: the problem of coordination. J Cleaner Prod 5(1–2):79–86
Davis C, Nikolic I, Dijkema GPJ (2009) Integration of life cycle assessment into agent-based modeling. J Ind Ecol 13(2):306–325
Easley D, Kleinberg J (2010) Networks, crowds, and markets: reasoning about a highly connected world. Cambridge University Press, New York, Ch. 7
Ehrenfeld J, Gertler N (1997) Industrial ecology in practice the evolution of interdependence at Kalundborg. J Ind Ecol 1(1):67–79
Graedel TE, Allenby BR, American Telephone and Telegraph Company (1995) Industrial ecology. Prentice Hall, Englewood Cliffs
Guo ZD, Tian JX (2006) Study on the co-evolution mechanism of industrial ecology engineering based on multi-agent asymmetric evolutionary game theory. In: Proceeding of 2006 international conference on management science and engineering. Institute of Electrical and Electronics Engineers Inc, Lille, pp 1907–1910
Liu Z, Chen YJ (2009) Swarm for java: simulation and implementation techniques. China Machine Press, Beijing (in Chinese)
Weibull JW (1996) Evolutionary game theory. The MIT Press, Cambridge, MA
Zhu QH, Cote RP (2004) Integrating green supply chain management into an embryonic eco-industrial development: a case study of the Guitang Group. J Cleaner Prod 12(8–10):1025–1035
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Zheng, Kf., Jia, Sl., Wang, Hs. (2013). Evolution of Industrial Ecosystem with Government’s Intervention: Integration of Evolutionary Game Model into Multi-agent Simulation. In: Qi, E., Shen, J., Dou, R. (eds) The 19th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37270-4_61
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DOI: https://doi.org/10.1007/978-3-642-37270-4_61
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