A dynamic and continuous allowances allocation methodology for the prevention of carbon leakage: Emission control coefficients

Carbon leakage has become the core issue of emission trading systems. Using data from Hubei Province, this paper identifies the drawbacks of the prevailing methods for preventing carbon leakage and proposes a new methodology to overcome them, namely, Emission Control Coefficients. In contrast to the common tiered structure method, the Emission Control Coefficients generate a dynamic and continuous emission control coefficient for each industry which will improve the effectiveness and fairness of allowance allocation, set aside sufficient time for the low carbon transformation of industries, and balance the needs to protect competitiveness and decarbonize and are particularly suitable for the emission trading systems of developing counties. This paper makes three main academic contributions: Firstly, it proposes a new indicator, the abatement potential for more effective determining allowance allocation than the prevailing method. Secondly, it better distinguishes industrial differences. Thirdly, it can better respond to the problem of excess allowances that is due to technological advances and trade pattern changes.

[1]  Marco Sakai,et al.  Border carbon adjustments: Addressing emissions embodied in trade , 2016 .

[2]  Lei Zhu,et al.  Can an emission trading scheme promote the withdrawal of outdated capacity in energy-intensive sectors? A case study on China's iron and steel industry , 2017 .

[3]  E. Roca,et al.  Is the European Union Emissions Trading Scheme (EU ETS) informationally efficient? Evidence from momentum-based trading strategies , 2013 .

[4]  Shaozhou Qi,et al.  Policy design of the Hubei ETS pilot in China , 2014 .

[5]  Wei Li,et al.  The research on setting a unified interval of carbon price benchmark in the national carbon trading market of China , 2015 .

[6]  Peng Zhou,et al.  Constructing meaningful environmental indices: A nonparametric frontier approach , 2017 .

[7]  K. Neuhoff,et al.  CO2 cost pass-through and windfall profits in the power sector , 2006 .

[8]  L. Goulder,et al.  Impacts of Alternative Emissions Allowance Allocation Methods Under a Federal Cap-and-Trade Program , 2009 .

[9]  Xin Wang,et al.  Carbon leakage scrutiny in ETS and non-ETS industrial sectors in China , 2018 .

[10]  Jijian Zhang,et al.  The influencing factors of CO2 emission intensity of Chinese agriculture from 1997 to 2014 , 2018, Environmental Science and Pollution Research.

[11]  Dallas Burtraw,et al.  Consignment auctions of free emissions allowances , 2017 .

[12]  Elisabetta Allevi,et al.  Evaluating the carbon leakage effect on cement sector under different climate policies , 2017 .

[13]  Kunfu Zhu,et al.  Border carbon adjustments for exports of the United States and the European Union: Taking border-crossing frequency into account , 2017 .

[14]  Karl W. Steininger,et al.  Switching to carbon-free production processes: Implications for carbon leakage and border carbon adjustment , 2014 .

[15]  Justin Caron Estimating carbon leakage and the efficiency of border adjustments in general equilibrium — Does sectoral aggregation matter? , 2012 .

[16]  Xin Wang,et al.  Identifying the industrial sectors at risk of carbon leakage in China , 2017 .

[17]  Philippe Quirion,et al.  Addressing leakage in the EU ETS: Border adjustment or output-based allocation? , 2011 .

[18]  Raphaël Trotignon,et al.  Governance of CO2 markets: lessons from the EU ETS , 2014 .

[19]  Mads Greaker,et al.  Robust technology policy against emission leakage: The case of upstream subsidies , 2017 .

[20]  Jean-Pierre Ponssard,et al.  Carbon Leakage and Capactiy-Based Allocations - Is the EU Right? , 2012, SSRN Electronic Journal.

[21]  Bin Ye,et al.  The allowance mechanism of China’s carbon trading pilots: A comparative analysis with schemes in EU and California , 2017 .

[22]  Taran Fæhn,et al.  Targeted carbon tariffs: Export response, leakage and welfare , 2017 .

[23]  Jordi Roca,et al.  Border Carbon Adjustments Based on Avoided Emissions: Addressing the Challenge of Its Design , 2018 .

[24]  Alessandro Antimiani,et al.  Assessing alternative solutions to carbon leakage , 2013 .

[25]  Pedro Linares,et al.  The effects of carbon prices and anti-leakage policies on selected industrial sectors in Spain – Cement, steel and oil refining , 2014 .

[26]  Xunpeng Shi,et al.  Unintended consequences of China’s coal capacity cut policy , 2018 .

[27]  Stefano Clò,et al.  Grandfathering, auctioning and Carbon Leakage: Assessing the inconsistencies of the new ETS Directive , 2010 .

[28]  Lisa Anouliès,et al.  Heterogeneous firms and the environment: a cap-and-trade program , 2017 .

[29]  Bin Su,et al.  Assessment of carbon leakage by channels: An approach combining CGE model and decomposition analysis , 2018, Energy Economics.

[30]  Karl W. Steininger,et al.  The relevance of process emissions for carbon leakage: A comparison of unilateral climate policy options with and without border carbon adjustment , 2012 .

[31]  Yong Geng,et al.  A general equilibrium analysis on the impacts of regional and sectoral emission allowance allocation at carbon trading market , 2018, Journal of Cleaner Production.

[32]  Ralf Martin,et al.  On the Empirical Content of Carbon Leakage Criteria in the EU Emissions Trading Scheme , 2014 .

[33]  Danny Cullenward,et al.  Leakage in California's Carbon Market , 2014 .

[34]  Jobst Heitzig,et al.  Carbon leakage: Grandfathering as an incentive device to avert firm relocation , 2014 .

[35]  Silvana Stefani,et al.  Free EUAs and fuel switching , 2013 .

[36]  Bin Liu,et al.  Industry Competitiveness Impacts of National ETS in China and Policy Options , 2015 .

[37]  Alessandro Antimiani,et al.  Mitigation of adverse effects on competitiveness and leakage of unilateral EU climate policy: An assessment of policy instruments , 2016 .

[38]  Yakun Li,et al.  Impact of carbon allowance allocation on power industry in China’s carbon trading market: Computable general equilibrium based analysis , 2018, Applied Energy.