Multi-Agent-Based Modelling, Simulation and Heterogeneity Analysis of the Management Strategies for Enterprise Carbon Assets

Zeng, Y., Li, Shuliang, Fan, L. and Deng, L. (2017) Multi-Agent-Based Modelling, Simulation and Heterogeneity Analysis of the Management Strategies for Enterprise Carbon Assets. Forum on Science and Technology in China, 5 (7). pp. 87-96. ISSN 1002-6711

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Li Paper with Zeng Yin etc é� - Accepted Version

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Official URL: http://www.zgkjlt.org.cn/CN/abstract/abstract9798....

Abstract

Low carbon competitive patterns based upon low-carbon assets have developed in industries across the world. In the paper, three typical enterprises are used as examples to identify carbon assets from the perspective of enterprise business contexts, and to extract the interactive framework. This paper makes quantitative description of the value contribution principle of each carbon asset module and sets up the simulation strategies for relevant carbon assets. On the basis of these, an Agent-Based Modelling & Simulation (ABMS) system is created and built to simulate and analyse the difference in the evolution of carbon assets. The results demonstrate the emergent properties of enterprise carbon assets. The simulation study also shows remarkable heterogeneity of evolution paths with low-carbon technologies and low-carbon brands, which are the key factors leading to the evolution of other carbon assets and the adjustment of strategies. Finally, recommendations are made to improve the management of enterprises carbon assets.

Item Type: Article
Uncontrolled Keywords: Carbon asset; management strategy; multiple agents; agent; simulation; heterogeneity;
Subjects: University of Westminster > Westminster Business School
SWORD Depositor: repository@westminster.ac.uk
Depositing User: repository@westminster.ac.uk
Date Deposited: 15 Dec 2016 12:35
Last Modified: 03 Aug 2017 11:07
URI: http://westminsterresearch.wmin.ac.uk/id/eprint/18084

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