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A Structural Decomposition Analysis of China’s Consumption-Based Greenhouse Gas Emissions

Author

Listed:
  • Haidi Gao

    (Institute of Energy, Environment and Economy (3E), Tsinghua University, Beijing 100084, China)

  • Alun Gu

    (Institute of Energy, Environment and Economy (3E), Tsinghua University, Beijing 100084, China)

  • Gehua Wang

    (Institute of Energy, Environment and Economy (3E), Tsinghua University, Beijing 100084, China)

  • Fei Teng

    (Institute of Energy, Environment and Economy (3E), Tsinghua University, Beijing 100084, China)

Abstract

The trends of consumption-based emissions in China have a major impact on global greenhouse gas (GHG) emissions. Previous studies have only focused on China’s energy-related consumption-based emissions of CO 2 or specific non-CO 2 GHGs without taking overall consumption-based non-CO 2 GHG emissions into account. Based on a constructed global non-CO 2 GHG emissions database, combined with CO 2 emissions data, this paper fills this gap through an examination and analysis of China’s GHG emissions using a global multi-regional input–output (MRIO) model for 2004, 2007 and 2011, and identifies the major factors driving changes in consumption-based emissions through a structural decomposition analysis (SDA). The results show that compared with CO 2 emissions, CH 4 , N 2 O and F-gases emissions all increased more rapidly. Among consumption-based non-CO 2 GHG emissions, investment-based emissions experienced the fastest growth, but the net exports of non-CO 2 GHG emissions dropped drastically in recent years. While investment in total final consumption demand is the most influential factor for CO 2 emissions, household consumption most significantly affects the growth in consumption-based non-CO 2 GHG emissions.

Suggested Citation

  • Haidi Gao & Alun Gu & Gehua Wang & Fei Teng, 2019. "A Structural Decomposition Analysis of China’s Consumption-Based Greenhouse Gas Emissions," Energies, MDPI, vol. 12(15), pages 1-17, July.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2843-:d:251035
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    References listed on IDEAS

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    1. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Multiplicative structural decomposition analysis of energy and emission intensities: Some methodological issues," Energy, Elsevier, vol. 123(C), pages 47-63.
    2. S. A. Montzka & E. J. Dlugokencky & J. H. Butler, 2011. "Non-CO2 greenhouse gases and climate change," Nature, Nature, vol. 476(7358), pages 43-50, August.
    3. Liu, Zhu & Geng, Yong & Lindner, Soeren & Guan, Dabo, 2012. "Uncovering China’s greenhouse gas emission from regional and sectoral perspectives," Energy, Elsevier, vol. 45(1), pages 1059-1068.
    4. Glen Peters & Robbie Andrew & James Lennox, 2011. "Constructing An Environmentally-Extended Multi-Regional Input-Output Table Using The Gtap Database," Economic Systems Research, Taylor & Francis Journals, vol. 23(2), pages 131-152.
    5. Shao, Ling & Li, Yuan & Feng, Kuishuang & Meng, Jing & Shan, Yuli & Guan, Dabo, 2018. "Carbon emission imbalances and the structural paths of Chinese regions," Applied Energy, Elsevier, vol. 215(C), pages 396-404.
    6. Mi, Zhifu & Zhang, Yunkun & Guan, Dabo & Shan, Yuli & Liu, Zhu & Cong, Ronggang & Yuan, Xiao-Chen & Wei, Yi-Ming, 2016. "Consumption-based emission accounting for Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1073-1081.
    7. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
    8. Chang, Yih F & Lin, Sue J, 1998. "Structural decomposition of industrial CO2 emission in Taiwan: an input-output approach," Energy Policy, Elsevier, vol. 26(1), pages 5-12, January.
    9. Zhang, Bo & Chen, G.Q., 2010. "Methane emissions by Chinese economy: Inventory and embodiment analysis," Energy Policy, Elsevier, vol. 38(8), pages 4304-4316, August.
    10. Peters, Glen P., 2008. "From production-based to consumption-based national emission inventories," Ecological Economics, Elsevier, vol. 65(1), pages 13-23, March.
    11. Ang, B.W. & Liu, Na, 2007. "Energy decomposition analysis: IEA model versus other methods," Energy Policy, Elsevier, vol. 35(3), pages 1426-1432, March.
    12. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    13. Su, Bin & Thomson, Elspeth, 2016. "China's carbon emissions embodied in (normal and processing) exports and their driving forces, 2006–2012," Energy Economics, Elsevier, vol. 59(C), pages 414-422.
    14. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    15. Su, Bin & Ang, B.W., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of spatial aggregation," Ecological Economics, Elsevier, vol. 70(1), pages 10-18, November.
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    2. Jinghui Liu & Tingting Geng & Xingwei Wang & Guojin Qin, 2020. "Determinants of Oil Footprints Embodied in Sino-US Trade: A Perspective from the Globalizing World," Energies, MDPI, vol. 13(15), pages 1-26, July.

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