Abstract
To effectively control air pollution, China has established regional carbon emissions trading markets based on cap and trade in seven pilot provinces and cities. Government agencies that manage the market want to know that whether the policies of carbon emissions are effective and appropriate. Under cap and trade, the emissions trading system, made up of the government, emissions exchange and participating enterprises, is nonlinear, dynamic, uncertain, and decision-decentralized. Also, there exist interactive influences among participants and multiple decision objectives in the emissions trading system. So, this research applied a multi-agent modeling and simulation approach to build such a simulation model for the regional emissions trading system, and then analyzed the policies related to total emissions control, emission quotas allocation, emission quotas auction, and excessive emission fines.
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Acknowledgement
This research is partially funded by the Natural Science Foundation of China (NSFC) under grant codes 71572114, 71272089 and 71472126.
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Zhou, M., Zhou, M., Pan, Y., Chen, Z., Zeng, J. (2016). Multi-agent-based Simulation for Policy Evaluation of Carbon Emissions. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 645. Springer, Singapore. https://doi.org/10.1007/978-981-10-2669-0_29
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DOI: https://doi.org/10.1007/978-981-10-2669-0_29
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