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Spatial-Temporal Variations of Embodied Carbon Emission in Global Trade Flows: 41 Economies and 35 Sectors

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  • Jing Tian
  • Hua Liao
  • Ce Wang
Abstract
The spatial-temporal variations of embodied carbon emissions in international trade at global scope are still unclear. This paper studies the variations of outflows and inflows of embodied carbon emissions at 35-disaggregated sectors level of 41 countries and regions, and an integrated world input-output model is employed. It also examines what would happen if there were not international trade flows in China, USA and Finland, the representatives of three different levels of the global balance of embodied carbon. We find that: (1) Embodied carbon in global trade increases at about 3% per year since 1995 World Trade Organization founded, and East Asia tends to burden more from the net increase of the balance of embodied carbon. (2) China¡¯s export has the largest and increasing outflow of carbon burden, USA's import the largest and increasing inflow of carbon burden, and Finland¡¯s export and import have the decreasing carbon burden. (3) The global trade structure tends to be not so much carbon-intensive. BRIIAT (Brazil, Russia, India, Indonesia, Australia and Turkey) has the largest embodied carbon intensity in export (about 7.35 kg/$) while NAFTA (the United States, Canada and Mexico) the largest embodied carbon intensity in import (about 10.32 kg/$). (4) There existed some inclination of embodied carbon flows including neighbors-centered outflows and country-centered inflows.

Suggested Citation

  • Jing Tian & Hua Liao & Ce Wang, 2014. "Spatial-Temporal Variations of Embodied Carbon Emission in Global Trade Flows: 41 Economies and 35 Sectors," CEEP-BIT Working Papers 78, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    • Handle: RePEc:biw:wpaper:78
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    5. Chuanwang Sun & Lanyun Chen & Guangxiao Huang, 2019. "Decomposition Analysis of CO 2 Emissions Embodied in the International Trade of Russia," Sustainability, MDPI, vol. 12(1), pages 1-22, December.
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    8. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Xue, Jin-Jun, 2019. "Changes in carbon intensity globally and in countries: Attribution and decomposition analysis," Applied Energy, Elsevier, vol. 235(C), pages 1492-1504.
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    10. Tang, Zhipeng & Yu, Haojie & Zou, Jialing, 2022. "How does production substitution affect China's embodied carbon emissions in exports?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    11. Hua Liao & Celio Andrade & Julio Lumbreras & Jing Tian, 2018. "CO2 Emissions in Beijing: Sectoral Linkages and Demand Drivers," CEEP-BIT Working Papers 113, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
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    13. Wang, Zhenyu & Meng, Jing & Zheng, Heran & Shao, Shuai & Wang, Daoping & Mi, Zhifu & Guan, Dabo, 2018. "Temporal change in India’s imbalance of carbon emissions embodied in international trade," Applied Energy, Elsevier, vol. 231(C), pages 914-925.
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    More about this item

    Keywords

    Embodied carbon flow; International trade; Spatial-temporal variations; Input-output analysis;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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