A Multi-region Structural Decomposition Analysis of Global CO2 Emission Intensity

被引:128
|
作者
Wang, H. [1 ]
Ang, B. W. [1 ]
Su, Bin [2 ]
机构
[1] Natl Univ Singapore, Dept Ind Syst Engn & Management, Singapore, Singapore
[2] Natl Univ Singapore, Energy Studies Inst, Singapore, Singapore
关键词
Structural decomposition analysis; Multi-region analysis; CO2 emission intensity; Global CO2 emissions; CARBON-DIOXIDE EMISSIONS; INPUT-OUTPUT DATABASE; INDEX NUMBER-THEORY; ENERGY INTENSITY; MULTIPLICATIVE DECOMPOSITION; EMPIRICAL APPLICATION; CHINA; DRIVERS; PERFORMANCE; CONSUMPTION;
D O I
10.1016/j.ecolecon.2017.06.023
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
This paper studies changes in global and national CO2 emission intensities using the multi-region structural decomposition analysis (SDA) technique. Emission intensities such as the ratio of CO2 emissions to GDP have lately been widely used to characterize national emission performance. Meanwhile the impact of international trade has been found to be important in global emission accounting. It is therefore important to analyze changes in emission intensities by taking trade into consideration. In this study, we first propose two SDA models, one at the global level and the other at the country level, to quantify both the domestic and trade related effects on an intensity indicator. The models are then used to study changes in global and countries' CO2 emission intensities from 2000 to 2009, The results show that sectoral emission efficiency improvement was the main contributor to the slight decrease in global emission intensity during the period, while international trade marginally hampered improvement of global emission intensity. Comparisons of the performance between emerging economies and advanced economies reveal the importance of production structure and final demand structure in emission intensity reduction. The policy implications of the findings are presented. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:163 / 176
页数:14
相关论文
共 50 条
  • [21] The CO2 emission changes in China's transportation sector during 1992-2015: a structural decomposition analysis
    Lian, Lian
    Lin, Jingyan
    Yao, Ronghan
    Tian, Wen
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (09) : 9085 - 9098
  • [22] Index decomposition analysis applied to CO2 emission studies
    Xu, X. Y.
    Ang, B. W.
    ECOLOGICAL ECONOMICS, 2013, 93 : 313 - 329
  • [23] Decomposition of intensity of energy-related CO2 emission in Chinese provinces using the LMDI method
    Zhang, Wei
    Li, Ke
    Zhou, Dequn
    Zhang, Wenrui
    Gao, Hui
    ENERGY POLICY, 2016, 92 : 369 - 381
  • [24] Does Global Value Chain Participation Decouple Chinese Development from CO2 Emissions? A Structural Decomposition Analysis
    Wang, Hui
    Pan, Chen
    Ang, B. W.
    Zhou, Peng
    ENERGY JOURNAL, 2021, 42 (02): : 183 - 203
  • [25] How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis
    Zhou, Xiaoyong
    Zhou, Dequn
    Wang, Qunwei
    ENERGY, 2018, 151 : 748 - 759
  • [26] Input-output analysis of CO2 emissions embodied in trade: A multi-region model for China
    Su, Bin
    Ang, B. W.
    APPLIED ENERGY, 2014, 114 : 377 - 384
  • [27] A multi-region multi-sector decomposition and attribution analysis of aggregate carbon intensity in China from 2000 to 2015
    Liu, Nan
    Ma, Zujun
    Kang, Jidong
    Su, Bin
    ENERGY POLICY, 2019, 129 : 410 - 421
  • [28] European union membership and CO2 emissions: A structural decomposition analysis
    de Araujo, Inacio Fernandes
    Jackson, Randall W.
    Neto, Amir B. Ferreira
    Perobelli, Fernando S.
    STRUCTURAL CHANGE AND ECONOMIC DYNAMICS, 2020, 55 : 190 - 203
  • [29] Assessing the role of international trade in global CO2 emissions: An index decomposition analysis approach
    Wang, H.
    Ang, B. W.
    APPLIED ENERGY, 2018, 218 : 146 - 158
  • [30] Energy intensity efficiency and the effect of changes in GDP and CO2 emission
    Kang, Minji
    Kang, Sangmok
    ENERGY EFFICIENCY, 2022, 15 (01)