Three-dimensional decomposition models for carbon productivity

被引:86
作者
Meng, Ming [1 ]
Niu, Dongxiao [1 ]
机构
[1] N China Elect Power Univ, Sch Econ & Management, Baoding City 071003, Hebei Province, Peoples R China
基金
中国国家自然科学基金;
关键词
Carbon productivity; Decomposition models; Log Mean Divisia Index; China; CO2; EMISSIONS; STRUCTURAL DECOMPOSITION; DIVISIA INDEX; MANUFACTURING SECTOR; ECONOMIC-DEVELOPMENT; TECHNOLOGICAL-CHANGE; OECD COUNTRIES; ENERGY USE; INTENSITY; INDUSTRY;
D O I
10.1016/j.energy.2012.08.038
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper presents decomposition models for the change in carbon productivity, which is considered a key indicator that reflects the contributions to the control of greenhouse gases. Carbon productivity differential was used to indicate the beginning of decomposition. After integrating the differential equation and designing the Log Mean Divisia Index equations, a three-dimensional absolute decomposition model for carbon productivity was derived. Using this model, the absolute change of carbon productivity was decomposed into a summation of the absolute quantitative influences of each industrial sector, for each influence factor (technological innovation and industrial structure adjustment) in each year. Furthermore, the relative decomposition model was built using a similar process. Finally, these models were applied to demonstrate the decomposition process in China. The decomposition results reveal several important conclusions: (a) technological innovation plays a far more important role than industrial structure adjustment; (b) industry and export trade exhibit great influence; (c) assigning the responsibility for CO2 emission control to local governments, optimizing the structure of exports, and eliminating backward industrial capacity are highly essential to further increase China's carbon productivity. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:179 / 187
页数:9
相关论文
共 47 条
[1]   A Shapley decomposition of carbon emissions without residuals [J].
Albrecht, J ;
Francois, D ;
Schoors, K .
ENERGY POLICY, 2002, 30 (09) :727-736
[2]   DECOMPOSITION METHODOLOGY IN INDUSTRIAL ENERGY DEMAND ANALYSIS [J].
ANG, BW .
ENERGY, 1995, 20 (11) :1081-1095
[3]  
Ang BW, 1997, ENERGY J, V18, P59
[4]   Decomposition analysis for policymaking in energy: which is the preferred method? [J].
Ang, BW .
ENERGY POLICY, 2004, 32 (09) :1131-1139
[5]   The energy intensity in Lithuania during 1995-2009: A LMDI approach [J].
Balezentis, Alvydas ;
Balezentis, Tomas ;
Streimikiene, Dalia .
ENERGY POLICY, 2011, 39 (11) :7322-7334
[6]   Kyoto Protocol and "deforestation" A legal analysis on Turkish environment and forest legislation [J].
Coskun, Aynur Aydin ;
Gencay, Gokce .
FOREST POLICY AND ECONOMICS, 2011, 13 (05) :366-377
[7]   The Copenhagen Accord: abatement costs and carbon prices resulting from the submissions [J].
den Elzen, Michel G. J. ;
Hof, Andries F. ;
Beltran, Angelica Mendoza ;
Grassi, Giacomo ;
Roelfsema, Mark ;
van Ruijven, Bas ;
van Vliet, Jasper ;
van Vuuren, Detlef P. .
ENVIRONMENTAL SCIENCE & POLICY, 2011, 14 (01) :28-39
[8]   Conversion of the coastal Atlantic forest to pasture: Consequences for the nitrogen cycle and soil greenhouse gas emissions [J].
do Carmo, Janaina Braga ;
de Sousa Neto, Eraclito Rodrigues ;
Duarte-Neto, Paulo J. ;
Henry Balbaud Ometto, Jean Pierre ;
Martinelli, Luiz Antonio .
AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2012, 148 :37-43
[9]  
Dunn S, 2002, MOVING CLIMATE CHANG
[10]   Carbon price volatility: Evidence from EU ETS [J].
Feng, Zhen-Hua ;
Zou, Le-Le ;
Wei, Yi-Ming .
APPLIED ENERGY, 2011, 88 (03) :590-598