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Identifying the critical paths and sectors for carbon transfers driven by global consumption in 2015

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  • Xu, Dongxiao
  • Zhang, Yan
  • Chen, Bin
  • Bai, Junhong
  • Liu, Gengyuan
  • Zhang, Boyu

Abstract

Climate change caused by carbon emission threatens human well-being, and global trade drives the transfer of carbon emission between consumers and producers. Thus, quantifying global carbon transfer paths is important. Based on multi-regional input–output tables, we used structural path analysis to decompose the carbon emission processes embodied in trade to analyze the tier structure at multiple scales, and traced critical carbon transfer paths to dissect their distributions. We developed a sectoral importance indicator to consider both the amount of carbon transfer and frequency of sectors to identify key sectors. The first four tiers dominated the embodied carbon emission (>70%) at global, national, sectoral, and national-sectoral scales. Among the critical paths, basic industries (Electricity, Gas, and Water; Petroleum, Chemical and Non-Metallic Mineral Products; Transport), Construction and Services were responsible for the most embodied carbon emission, with the former having prominent direct emission, and the latter sectors having prominent carbon transfers from upstream sectors. The Construction and Electrical and Machinery in China and Services in the United States were key final production sectors; Electricity, Gas, and Water in China and the United States were key primary and final production sectors, and Petroleum and Chemical and Non-Metallic Mineral Products in China was a key primary production and reprocessing sector. Identification of key paths and sectors provides scientific guidance for formulating and adjusting global emission reduction policies.

Suggested Citation

  • Xu, Dongxiao & Zhang, Yan & Chen, Bin & Bai, Junhong & Liu, Gengyuan & Zhang, Boyu, 2022. "Identifying the critical paths and sectors for carbon transfers driven by global consumption in 2015," Applied Energy, Elsevier, vol. 306(PB).
    • Handle: RePEc:eee:appene:v:306:y:2022:i:pb:s0306261921014148
    DOI: 10.1016/j.apenergy.2021.118137
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    1. Yuantao Yang & Shen Qu & Bofeng Cai & Sai Liang & Zhaohua Wang & Jinnan Wang & Ming Xu, 2020. "Mapping global carbon footprint in China," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    2. Zhiyong Yang & Wenjie Dong & Jinfeng Xiu & Rufeng Dai & Jieming Chou, 2015. "Structural Path Analysis of Fossil Fuel Based CO2 Emissions: A Case Study for China," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-25, September.
    3. Zhen, Wei & Zhong, Zhangqi & Wang, Yichen & Miao, Lu & Qin, Quande & Wei, Yi-Ming, 2019. "Evolution of urban household indirect carbon emission responsibility from an inter-sectoral perspective: A case study of Guangdong, China," Energy Economics, Elsevier, vol. 83(C), pages 197-207.
    4. Llop, Maria & Ponce-Alifonso, Xavier, 2015. "Identifying the role of final consumption in structural path analysis: An application to water uses," Ecological Economics, Elsevier, vol. 109(C), pages 203-210.
    5. Su, Bin & Ang, B.W. & Li, Yingzhu, 2019. "Structural path and decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 83(C), pages 345-360.
    6. Hong, Jingke & Shen, Qiping & Xue, Fan, 2016. "A multi-regional structural path analysis of the energy supply chain in China's construction industry," Energy Policy, Elsevier, vol. 92(C), pages 56-68.
    7. Shaoqing Chen & Bin Chen & Kuishuang Feng & Zhu Liu & Neil Fromer & Xianchun Tan & Ahmed Alsaedi & Tasawar Hayat & Helga Weisz & Hans Joachim Schellnhuber & Klaus Hubacek, 2020. "Physical and virtual carbon metabolism of global cities," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    8. Guan, Shihui & Han, Mengyao & Wu, Xiaofang & Guan, ChengHe & Zhang, Bo, 2019. "Exploring energy-water-land nexus in national supply chains: China 2012," Energy, Elsevier, vol. 185(C), pages 1225-1234.
    9. Meng, Bo & Peters, Glen P. & Wang, Zhi & Li, Meng, 2018. "Tracing CO2 emissions in global value chains," Energy Economics, Elsevier, vol. 73(C), pages 24-42.
    10. Nagashima, Fumiya, 2018. "Critical structural paths of residential PM2.5 emissions within the Chinese provinces," Energy Economics, Elsevier, vol. 70(C), pages 465-471.
    11. 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.
    12. Glen Peters & Edgar Hertwich, 2006. "Structural analysis of international trade: Environmental impacts of Norway," Economic Systems Research, Taylor & Francis Journals, vol. 18(2), pages 155-181.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

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    7. Wang, Yaxian & Zhao, Zhenli & Wang, Wenju & Streimikiene, Dalia & Balezentis, Tomas, 2023. "Interplay of multiple factors behind decarbonisation of thermal electricity generation: A novel decomposition model," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

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