With the rapid economic development, environmental pollution in Beijing-Tianjin-Hebei region has become an increasingly challenging problem, and low-carbon economy development in the Beijing-Tianjin-Hebei region has aroused a wide attention. As a market-driven mitigation tool, carbon emission trading (CET) can effectively address the climate change and reduce carbon emissions. Based on system dynamics, a CET simulation model considering four sub-systems, i.e., economy, energy, environment, and CET policy, together with their interactive relationships is constructed to capture the impact of CET policy on economy and environment in the Beijing-Tianjin-Hebei system. To study the impact of CET, a baseline case without CET policy and some CET simulation cases with different total allocations, free emissions allocations and carbon prices are set. Empirical results indicate that (1) Generally, CET can effectively promote carbon reduction in the Beijing-Tianjin-Hebei region, even leading to a somewhat negative impact on economy, and (2) less total carbon allowances, less free quotas and higher carbon trading price will consistently enhance the carbon reduction effect, and in the meantime aggravate the impact in economy. The results also provided the effectiveness of the proposed model for capturing the Beijing-Tianjin-Hebei CET system, which can provide helpful supports for the management department in CET design and the related decision making.
ZHANG Jun-rong, WANG Zi-dan, TANG Ling, YU Le-an
. The Simulation of Carbon Emission Trading System in Beijing-Tianjin-Hebei Region: An Analysis Based on System Dynamics[J]. Chinese Journal of Management Science, 2016
, 24(3)
: 1
-8
.
DOI: 10.16381/j.cnki.issn1003-207x.2016.03.001
[1] Galinis A van Leeuwen M J. A CGE model for lithuania:The future of energy[J].Journal of Policy Modeling,2000,22(6):691-718.
[2] Chappin E J L, Dijkema G P J. On the impact of CO2 emission-trading on power generation emissions[J].Technological Forecasting and Social Change,2009,76(3):358-370.
[3] Mo Jianlei, Zhu Lei, Fan Ying. The impact of the EU ETS on the corporate value of European electricity corporations[J].Energy,2012,45(1):3-11.
[4] Tang Ling, Wu Jiaqian, Yu Lean, et al. Carbon emissions trading scheme exploration in China:A multi-agent-based model[J].Energy Policy, 2015,81:152-169.
[5] Cong Ronggang, Wei Yiming. Potential impact of (CET) carbon emissions trading on China's power sector:A perspective from different allowance allocation options[J].Energy,2010,35(9):3921-3931.
[6] 陈文颖,吴宗鑫.碳排放权分配与碳排放权交易[J].清华大学学报(自然科学版), 1998,38(12):15-18.
[7] 刘新宇.碳排放权初始分配方式如何选择?[J].环境经济,2013,(12):30-35.
[8] 汤铃,武佳倩,戴伟,余乐安.碳交易机制对中国经济与环境的影响[J].系统工程学报,2014,29(5):701-712.
[9] 时志雄.碳交易市场机制发展综述[J].电力与能源,2011,32(3):187-193.
[10] 陈晓红,胡维,王陟昀.自愿减排碳交易市场价格影响因素实证研究——以美国芝加哥气候交易所(CCX)为例[J]. 中国管理科学, 2013, 21(4):74-81.
[11] 崔连标,范英,朱磊,等.碳排放交易对实现我国"十二五" 减排目标的成本节约效应研究[J]. 中国管理科学, 2013, (1):37-46.
[12] 刘婧,姚中杰,尹建中.基于排放强度的产业间碳交易模型研究[J].东岳论丛,2015,36(2):130-134.
[13] 张立杰,苗苗.低碳经济背景下中国企业碳交易博弈模型初探[J].企业经济,2012,(2):57-61.
[14] 骆瑞玲, 范体军, 夏海洋. 碳排放交易政策下供应链碳减排技术投资的博弈分析[J]. 中国管理科学, 2014, 22(11):006.
[15] 武义青,赵亚南.京津冀能源消费、碳排放与经济增长[J].经济与管理, 2014,28(2):5-12.
[16] 张焕波,齐晔.中国低碳经济发展战略思考:以京津冀经济圈为例[J].中国人口·资源与环境, 2010,20(5):6-11.
[17] 孙乾,周耀光.低碳经济视角下京津冀产业协作模式探讨[J].社会科学论坛,2011,(1):223-229.
[18] 王铮,刘晓,朱永彬,等.京、津、冀地区的碳排放趋势估计[J].地理与地理信息科学,2012,28(1):84-89.
[19] 唐建荣,郜旭东,张白羽.基于系统动力学的碳排放强度控制研究[J].统计与决策,2012,(9):63-65.
[20] 戴歆.基于系统动力学的中国产业结构调整及碳排放模型研究[D].天津:天津大学,2013.
[21] 施婷.基于系统动力学的碳排放系统仿真与优化方案研究[D].北京:华北电力大学,2013.
[22] 张丽.基于系统动力学的碳排放预测研究[D].北京:华北电力大学,2014.