Factors of carbon price volatility in a comparative analysis of the EUA and sCER

被引:36
作者
Tang, Bao-jun [1 ,2 ]
Gong, Pi-qin [1 ,2 ]
Shen, Cheng [3 ]
机构
[1] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Sch Management & Econ, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China
[3] China Shipbldg Ind Res Ctr, Beijing 100081, Peoples R China
基金
北京市自然科学基金;
关键词
European Union emission trading system; Clean development mechanisms; Ensemble empirical model decomposition; Variance ratio; EMISSIONS; MODEL;
D O I
10.1007/s10479-015-1864-y
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
The paper proposes three hypotheses for the factors of carbon price volatility on the basis of the existing literature, and then uses ensemble empirical model decomposition and variance ratio to analyze the carbon price volatility of the European Union emission trading system (EU ETS) and clean development mechanisms (CDM). The results show that carbon price volatility is mainly affected by the market mechanism and external environment. The frequency of the market mechanism is high, with the duration being 2 months and amplitudes 1 euro; the external environment has an impact on carbon price at a low frequency, with the duration lasting 5 months or more and amplitudes of more than 2 euros. From the comparison of the two markets, not only in duration, but also in amplitude, the market mechanism and heterogeneity environment are shown to have a more significant impact on EU ETS than on CDM. Compared with its early stages, the carbon market is no longer temperature sensitive. The carbon price has a clear downward trend, with that of the CDM market being the more obvious.
引用
收藏
页码:157 / 168
页数:12
相关论文
共 15 条
[1]   Price drivers and structural breaks in European carbon prices 2005-2007 [J].
Alberola, Emilie ;
Chevallier, Julien ;
Cheze, Benoit .
ENERGY POLICY, 2008, 36 (02) :787-797
[2]  
[Anonymous], 2013, Contribution of working group i to the fifth assessment report of the intergovernmental panel on climate change
[3]   Modeling the price dynamics of CO2 emission allowances [J].
Benz, Eva ;
Trueck, Stefan .
ENERGY ECONOMICS, 2009, 31 (01) :4-15
[4]  
Buchner B, 2006, ENERG ECON, V31, P10
[5]   Carbon futures and macroeconomic risk factors: A view from the EU ETS [J].
Chevallier, Julien .
ENERGY ECONOMICS, 2009, 31 (04) :614-625
[6]   What do the VARs mean? Measuring the output effects of monetary policy [J].
Cochrane, JH .
JOURNAL OF MONETARY ECONOMICS, 1998, 41 (02) :277-300
[7]   An optimization model for renewable energy generation and its application in China: A perspective of maximum utilization [J].
Cong, Rong-Gang .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 17 :94-103
[8]   Potential impact of (CET) carbon emissions trading on China's power sector: A perspective from different allowance allocation options [J].
Cong, Rong-Gang ;
Wei, Yi-Ming .
ENERGY, 2010, 35 (09) :3921-3931
[9]  
Feng Z. H., 2012, PRICE VOLATILITY RIS
[10]   Policy-making under uncertainty: Commentary upon the European Union Emissions Trading Scheme [J].
Haar, Laura N. ;
Haar, Lawrence .
ENERGY POLICY, 2006, 34 (17) :2615-2629