Modeling economic performance of interprovincial CO2 emission reduction quota trading in China

被引:185
作者
Zhou, P. [1 ]
Zhang, L.
Zhou, D. Q.
Xia, W. J.
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 211106, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Emission trading; Abatement cost; Fairness; Nonlinear programming; China; SHADOW PRICE; CARBON; VOLATILITY; ALLOCATION; EFFICIENCY; ENERGY; SULFUR; POLICY;
D O I
10.1016/j.apenergy.2013.04.013
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Carbon emission reduction is a long-term strategy for China to promote its economic and social development. However, emission reduction often involves a huge amount of technological investment, which could vary substantially across different provinces due to their discrepancy in economic and technological development levels. Emission trading as a useful policy instrument may help different provinces achieve their emission reduction targets cost-effectively. This paper models the economic performance of an interprovincial emission reduction quota trading scheme in China. The marginal abatement cost curve of each province in China is first estimated. A nonlinear programming model is further developed to evaluate the economic performance of interprovincial emission reduction quota trading. Five equity criteria are used to conduct the initial allocation of emission reduction targets between different provinces. Our modeling results show that China's total emission abatement cost could decrease by over 40% through implementing such an interprovincial emission reduction quota trading scheme. Of the five alternative criteria, the CO2 emissions and population criteria look fairer and are recommended for use in the initial allocation of CO2 emission reduction targets. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1518 / 1528
页数:11
相关论文
共 26 条
[1]  
Bohm P., 1994, Environmental and resource Economics, V4, P219, DOI [10.1007/BF00692325, DOI 10.1007/BF00692325]
[2]   The evolution of emissions trading in the European Union - The role of policy networks, knowledge and policy entrepreneurs [J].
Braun, Marcel .
ACCOUNTING ORGANIZATIONS AND SOCIETY, 2009, 34 (3-4) :469-487
[3]   Environmental regulations and emissions trading in China [J].
Chang, Yen-Chiang ;
Wang, Nannan .
ENERGY POLICY, 2010, 38 (07) :3356-3364
[4]   Options introduction and volatility in the EU ETS [J].
Chevallier, Julien ;
Le Pen, Yannick ;
Sevi, Benoit .
RESOURCE AND ENERGY ECONOMICS, 2011, 33 (04) :855-880
[5]   Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure [J].
Choi, Yongrok ;
Zhang, Ning ;
Zhou, P. .
APPLIED ENERGY, 2012, 98 :198-208
[6]   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
[7]   Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS [J].
Feng, Zhen-Hua ;
Wei, Yi-Ming ;
Wang, Kai .
APPLIED ENERGY, 2012, 99 :97-108
[8]   Carbon price volatility: Evidence from EU ETS [J].
Feng, Zhen-Hua ;
Zou, Le-Le ;
Wei, Yi-Ming .
APPLIED ENERGY, 2011, 88 (03) :590-598
[9]   The CO2 abatement cost curve for the Thailand cement industry [J].
Hasanbeigi, Ali ;
Menke, Christoph ;
Price, Lynn .
JOURNAL OF CLEANER PRODUCTION, 2010, 18 (15) :1509-1518
[10]  
IEA, 2011, 2011 KEY WORLD EN ST