Study on the Efficiency of Emissions Trading System Using Agent-based Modelling

被引：0
|
作者：
Jin, Shuai [1 ]
Duan, Mumu [1 ]
Sheng, Zhaohan [2 ]
机构：
[1] Jiangsu Univ, Sch Management, Zhenjiang 212013, Peoples R China
[2] Nanjing Univ, Computat Expt Ctr Social Sci, Nanjing 210093, Jiangsu, Peoples R China
来源：
2013 SIXTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI) | 2013年
关键词：
MARKETS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
According to economic basis of emissions trading, a heterogeneous agent-based computational experiment platform is established, by com bining analyses of the diversities and decision-making strategies of firms in real. Pilot analyses are done on efficiency of emission trading and the dynamics of permit price. The results show that diversities of firms would advance system efficiency, market price converged above equilibrium price, and a retarding effect is on permit price through itself. Price-oriented trading strategy could not lead to effective allocation of permits. However, diversities of firms would generate a countervailing effect on system efficiency. Besides, the requirement of heterogeneous modeling and analysis on emissions trading system has been well proofed thought experimental results.
引用
收藏
页码：365 / 370
页数：6
相关论文
共 50 条
  • [1] Agent-based modelling of emissions trading for coastal landscapes in transition
    Heckbert, Scott
    [J]. JOURNAL OF LAND USE SCIENCE, 2011, 6 (2-3) : 137 - 150
  • [2] Agent-based simulation and gaming system for international emissions trading
    Mizuta, H
    Yamagata, Y
    [J]. AGENT-BASED APPROACHES IN ECONOMIC AND SOCIAL COMPLEX SYSTEMS, 2002, 72 : 69 - 78
  • [3] Agent-based online trading system
    Abu-Draz, S
    Shakshuki, E
    [J]. ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2003, 2671 : 611 - 613
  • [4] Agent-based simulation and greenhouse gas emissions trading
    Mizuta, H
    Yamagata, Y
    [J]. WSC'01: PROCEEDINGS OF THE 2001 WINTER SIMULATION CONFERENCE, VOLS 1 AND 2, 2001, : 535 - 540
  • [5] A Study of Dark Pool Trading using an Agent-based Model
    Mo, Sheung Yin Kevin
    Paddrik, Mark
    Yang, Steve Y.
    [J]. PROCEEDINGS OF THE 2013 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR FINANCIAL ENGINEERING & ECONOMICS (CIFER), 2013, : 19 - 26
  • [6] Implementing agent-based emissions trading for controlling Virtual Power Plant emissions
    Skarvelis-Kazakos, Spyros
    Rikos, Evangelos
    Kolentini, Efstathia
    Cipcigan, Liana M.
    Jenkins, Nick
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2013, 102 : 1 - 7
  • [7] International emissions trading with agent-based simulation and web-based gaming
    Mizuta, H
    Yamagata, Y
    [J]. ICM MILLENNIUM LECTURES ON GAMES, 2003, : 319 - 333
  • [8] Emission trading in agriculture: a study of design options using an agent-based approach
    Innocent Bakam
    Robin B. Matthews
    [J]. Mitigation and Adaptation Strategies for Global Change, 2009, 14 : 755 - 776
  • [9] Emission trading in agriculture: a study of design options using an agent-based approach
    Bakam, Innocent
    Matthews, Robin B.
    [J]. MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE, 2009, 14 (08) : 755 - 776
  • [10] Impact of Carbon Quota Allocation Mechanism on Emissions Trading: An Agent-Based Simulation
    Jiang, Wei
    Liu, Jia
    Liu, Xiang
    [J]. SUSTAINABILITY, 2016, 8 (08)
12345