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Global overview for energy use of the world economy: Household-consumption-based accounting based on the world input-output database (WIOD)

Author

Listed:
  • Chen, G.Q.
  • Wu, X.D.
  • Guo, Jinlan
  • Meng, Jing
  • Li, Chaohui

Abstract

Globalization has integrated nations into a world economy. Based on the world input-output database (WIOD), this paper explored the energy use of the world economy under a household-consumption-based MRIO (multi-region input-output) accounting scheme. Pertaining to normative economics, the household-consumption-based MRIO accounting scheme corresponds to the value judgement of household consumption being the ultimate driver of the economy, which complements existing accounting methods based on different viewpoints. The energy use associated with the internationally traded products is calculated to be around one-fifth of the global total energy consumption. For China as the largest exporter and also the biggest deficit economy in terms of energy use, its trade imbalance is nearly the summation of that of the United States, the United Kingdom, Japan and Germany. Energy self-sufficiency rates by supply and by demand are respectively proposed. While the United States economy as the largest importer maintains the majority of the energy welfare denoted by the onsite energy use at home, China exports large quantities of energy use abroad. For economies like Germany, South Korea and Taiwan, they could be regarded as hubs that export a considerable amount of energy use abroad and absorb massive energy use from outside simultaneously. For sustainable use of energy resources, economies are suggested to carefully identify their roles in the global trading network of energy use.

Suggested Citation

  • Chen, G.Q. & Wu, X.D. & Guo, Jinlan & Meng, Jing & Li, Chaohui, 2019. "Global overview for energy use of the world economy: Household-consumption-based accounting based on the world input-output database (WIOD)," Energy Economics, Elsevier, vol. 81(C), pages 835-847.
  • Handle: RePEc:eee:eneeco:v:81:y:2019:i:c:p:835-847
    DOI: 10.1016/j.eneco.2019.05.019
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    Cited by:

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    2. Yue Fu & Long Xue & Yixin Yan & Yao Pan & Xiaofang Wu & Ying Shao, 2021. "Energy Network Embodied in Trade along the Belt and Road: Spatiotemporal Evolution and Influencing Factors," Sustainability, MDPI, vol. 13(19), pages 1-29, September.
    3. José A. Camacho & Lucas Silva Almeida & Mercedes Rodríguez & Jesús Molina, 2022. "Domestic versus foreign energy use: an analysis for four European countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 4602-4622, April.
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    7. Xu, Zhongwen & Huang, Liqiao & Liao, Maolin & Xue, Jinjun & Yoshida, Yoshikuni & Long, Yin, 2022. "Quantifying consumption-based carbon emissions of major economic sectors in Japan considering the global value chain," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 330-341.
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    17. Danzhu Liu & Jinqiang Liang & Shuliang Xu & Mao Ye, 2023. "Analysis of Carbon Emissions Embodied in the Provincial Trade of China Based on an Input–Output Model and k-Means Algorithm," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
    18. Xinghui Zhang & Xiumei Fan & Shunyuan Yu & Axida Shan & Shujia Fan & Yan Xiao & Fanyu Dang, 2022. "Intersection Signal Timing Optimization: A Multi-Objective Evolutionary Algorithm," Sustainability, MDPI, vol. 14(3), pages 1-16, January.
    19. Lee, Chien-Chiang & Wang, Chih-Wei & Ho, Shan-Ju & Wu, Ting-Pin, 2021. "The impact of natural disaster on energy consumption: International evidence," Energy Economics, Elsevier, vol. 97(C).
    20. Tsakiridis, Andreas & O’Donoghue, Cathal & Hynes, Stephen & Kilcline, Kevin, 2020. "A Comparison of Environmental and Economic Sustainability across Seafood and Livestock Product Value Chains," Working Papers 309507, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    21. Shu Wang & Ying Li & Muhammad Nadeem & Maria Altaf, 2023. "Global Value Chains Embeddedness for the Energy Efficiency: A Panel Data Approach with Country-Level Decomposition," Sustainability, MDPI, vol. 15(6), pages 1-12, March.
    22. Nikolaos Rodousakis & George Soklis & Theodore Tsekeris, 2022. "A Supply and Use Model for Estimating the Contribution of Costs to Energy Prices," Energies, MDPI, vol. 15(19), pages 1-10, September.
    23. Ji, Xi & Liu, Yifang & Meng, Jing & Wu, Xudong, 2020. "Global supply chain of biomass use and the shift of environmental welfare from primary exploiters to final consumers," Applied Energy, Elsevier, vol. 276(C).
    24. Qin, Xiaodi & Wu, Haitao & Li, Rongrong, 2022. "Digital finance and household carbon emissions in China," China Economic Review, Elsevier, vol. 76(C).
    25. Tu, Chuang & Mu, Xianzhong & Chen, Jian & Kong, Li & Zhang, Zheng & Lu, Yutong & Hu, Guangwen, 2021. "Study on the interactive relationship between urban residents’ expenditure and energy consumption of production sectors," Energy Policy, Elsevier, vol. 157(C).

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