An adaptive agent-based modeling approach for analyzing the influence of transaction costs on emissions trading markets

An adaptive agent-based modeling approach for analyzing the influence of transaction costs on emissions trading markets
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一种基于自适应代理的建模方法,用于分析交易成本对排放交易市场的影响

DOI:
10.1016/j.envsoft.2010.10.011
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发表时间:
2011-04
影响因子:
4.9
通讯作者:
Bi, Jun
Bi, Jun
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Zhang, Bing;Zhang, Yongliang;Bi, Jun

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交易成本被认为是对排污权交易市场表现产生不利影响的一个重要因素。然而,大多数研究都是基于静态的分析框架,很难模拟真实的经济情景,排污权交易系统中企业之间的动态行为和互动是相当复杂的,在某种程度上显得不合理。基于智能体的建模方法,建立了一个人工二氧化硫排污权交易市场,研究了交易费用对市场效率的动态影响。基于江苏省中国的实证数据的模拟结果表明,交易成本对市场价格的影响可以忽略不计。然而,交易成本会阻碍少量的排污权交易,降低排污权交易总量和市场效率。因此,中国排污权交易的政策设计要慎重对待交易成本。
Transaction costs are considered an essential factor that can adversely affect the performance of emissions trading markets. However, most studies are based on a static analyzing framework, making it difficult to simulate real economic situations, in which the dynamic behavior and interaction between firms in an emission trading system are fairly complicated and appear irrational to some extent. Based on an agent-based modeling approach, an artificial sulfur dioxide (SO2) emission trading market is developed to identify the dynamic influence of transaction costs on market efficiency. The simulation results based on empirical data from Jiangsu Province in China reveal that transaction costs have a negligible effect on the market price. However, transaction costs can block a small amount of trading as well as decrease total emission trading amount and market efficiency. Therefore, the policy design of emission trading in China should treat transaction costs carefully.
DOI: 10.1109/wsc.2001.977335
发表时间: 2001-12
期刊: Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304)
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