Regional differences in carbon emission of China's industries and its decomposition effects

被引:60
作者
Li, Xin [1 ]
Wang, Jinman [1 ,2 ]
Zhang, Min [1 ]
Ouyang, Jinming [1 ]
Shi, Wenting [1 ]
机构
[1] China Univ Geosci, Sch Land Sci & Technol, 29 Xueyuan Rd, Beijing 10083, Peoples R China
[2] Minist Nat Resource, Key Lab Land Consolidat & Rehabil, Beijing 100035, Peoples R China
关键词
Regional differences; Center of gravity; Kaya-LMDI; Carbon emission; Decomposition effects; CO2; EMISSIONS; ENERGY-CONSUMPTION; LMDI DECOMPOSITION; ECONOMIC-GROWTH; INDEX; REDUCTION; EFFICIENCY; PROVINCE;
D O I
10.1016/j.jclepro.2020.122528
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In order to better achieve the goal of carbon emissions, this paper combined the theory of gravity center and Logarithmic Mean Divisia Index (LMDI) model to analyze the regional emission differences in China. Researches have shown that the difference in economic development levels between the eastern and western regions is an important factor that causes the shift of the center of gravity of carbon emission and its intensity to the west. In decomposition effects, the economic output effect has the largest contribution (56%) to emissions, and the energy intensity effect has the best effect in suppressing emissions. Except for some industries in the East and Central South of China, energy structure in other regions is still dominated by high-carbon energy. In the energy intensity effect, the suppression effects in the East and Central South of China have reached -83,440 Mt and -78,850 Mt respectively, while the Northeast and Northwest of China areas are not significant. Vigorously developing low-carbon technologies and promoting clean energy can effectively reduce carbon intensity. It is recommended to implement the policy of adapting to local conditions according to the current situation of the region, and gradually phase out high energy-consuming industries under the guidance of the government, so as to strive to implement the emission reduction target. (C) 2020 Elsevier Ltd. All rights reserved.
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页数:13
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共 50 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]   Index decomposition analysis with multidimensional and multilevel energy data [J].
Ang, B. W. ;
Wang, H. .
ENERGY ECONOMICS, 2015, 51 :67-76
[3]   Inter-regional comparisons of energy-related CO2 emissions using the decomposition technique [J].
Ang, BW ;
Zhang, FQ .
ENERGY, 1999, 24 (04) :297-305
[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], 2008, Human Development Report 2007/2008
[6]  
[Anonymous], 2017, WPP2017 WORLD POPULA
[7]   Globalization and the shifting centers of gravity of world's human dynamics: Implications for sustainability [J].
Balsa-Barreiro, Jose ;
Li, Yingcheng ;
Morales, Alfredo ;
Pentland, Alex Sandy .
JOURNAL OF CLEANER PRODUCTION, 2019, 239
[8]  
Cheng M.W., 2019, POPULATION EC, V2, P28
[9]   Attribution of changes in Divisia real energy intensity index - An extension to index decomposition analysis [J].
Choi, Ki-Hong ;
Ang, B. W. .
ENERGY ECONOMICS, 2012, 34 (01) :171-176
[10]   The driving factors of energy-related CO2 emission growth in Malaysia: The LMDI decomposition method based on energy allocation analysis [J].
Chong, Chin Hao ;
Tan, Wei Xin ;
Ting, Zhao Jia ;
Liu, Pei ;
Ma, Linwei ;
Li, Zheng ;
Ni, Weidou .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2019, 115