Decomposition of Net CO2 Emission in the Wuhan Metropolitan Area of Central China

被引:5
作者
Yang, Xin [1 ]
Ma, Chunbo [2 ]
Zhang, Anlu [1 ]
机构
[1] Huazhong Agr Univ, Coll Land Management, Wuhan 430070, Peoples R China
[2] Univ Western Australia, Sch Agr Resource & Econ, Crawley, WA 6009, Australia
关键词
CO2; emission; sink; decomposition analysis; Logarithmic Mean Divisia Index Model (LMDI); Wuhan Metropolitan Area; CARBON-DIOXIDE EMISSIONS; DRIVING FACTORS; GHG EMISSIONS; ENERGY; LMDI; INDICATORS; INTENSITY; SHANGHAI; ECONOMY;
D O I
10.3390/su8080784
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Policy-makers have been sharing growing concerns that climate change has significant impacts on human society and economic activates. Knowledge of the influencing factors of CO2 emission is the crucial step to reduce it. In this paper, both CO2 emission and CO2 sink on a city-level of the nine cities in Wuhan Metropolitan Area are calculated using the Intergovernmental Panel on Climate Change approach. Moreover, the logarithmic mean Divisia index (LMDI) model was employed to decompose the net CO2 emission from 2001 to 2009. Results showed that (1) the largest amount of CO2 emission comes from energy while the largest amount CO2 sink comes from cropland; (2) economic level (S) was the largest positive driving factor for net CO2 emission growth in the Wuhan Metropolitan Area, population (P) also played a positive driving role, but with very weak contribution; and as negative inhibiting factors, energy structure (E) and energy efficiency (C) significantly reduced the net CO2 emission.
引用
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页数:13
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共 35 条
[1]   CO2 emissions of Turkish manufacturing industry: A decomposition analysis [J].
Akbostanci, Elif ;
Tunc, Gul Ipek ;
Turut-Asik, Serap .
APPLIED ENERGY, 2011, 88 (06) :2273-2278
[2]   Decomposition analysis for policymaking in energy: which is the preferred method? [J].
Ang, BW .
ENERGY POLICY, 2004, 32 (09) :1131-1139
[3]   Factorizing changes in energy and environmental indicators through decomposition [J].
Ang, BW ;
Zhang, FQ ;
Choi, KH .
ENERGY, 1998, 23 (06) :489-495
[4]   A survey of index decomposition analysis in energy and environmental studies [J].
Ang, BW ;
Zhang, FQ .
ENERGY, 2000, 25 (12) :1149-1176
[5]  
[Anonymous], NATL RESPONSE CLIMAT
[6]   Main drivers of changes in CO2 emissions in the Spanish economy: A structural decomposition analysis [J].
Cansino, Jose M. ;
Roman, Rocio ;
Ordonez, Manuel .
ENERGY POLICY, 2016, 89 :150-159
[7]   Extended-exergy analysis of the Chinese society [J].
Chen, G. Q. ;
Chen, B. .
ENERGY, 2009, 34 (09) :1127-1144
[8]   Comparative Analysis of Carbonization Drivers in China's Megacities [J].
Chong, Wang Hei Bruce ;
Guan, Dabo ;
Guthrie, Peter .
JOURNAL OF INDUSTRIAL ECOLOGY, 2012, 16 (04) :564-575
[9]   Decomposition of CO2 emissions change from energy consumption in Brazil: Challenges and policy implications [J].
de Freitas, Luciano Charlita ;
Kaneko, Shinji .
ENERGY POLICY, 2011, 39 (03) :1495-1504
[10]   Decomposition analysis of energy-related carbon emissions from UK manufacturing [J].
Hammond, G. P. ;
Norman, J. B. .
ENERGY, 2012, 41 (01) :220-227