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Development of method for estimation of world industrial energy consumption and its application

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  • Fujimori, Shinichiro
  • Matsuoka, Yuzuru

Abstract

The energy balances published by the International Energy Agency (IEA) are one of the most valuable sources of energy statistics covering world energy supply and demand. However, some issues arise when these data are analyzed or used directly. Even when industrial energy consumption alone is examined, at least three types of issues are encountered: missing data, large amounts of misallocated data in some countries, and numerous unrealistic outliers in the time-series variations. When we deal with only a few regions, we can look at data one by one and modify them. In this case, we are going to overcome these issues with a systematic method because the data covers world including more than a hundred regions. This paper proposes a data reconciliation method to treat these issues, and describes its application to world industrial energy consumption. As a result of its application, we found that the three issues mentioned above seemed to be overcome. The degree of the reconciliation by region showed that OECD countries' degree tends to be smaller than those of non-OECD countries. However, not all of the OECD countries have low values and some countries, such as the United States, have high values.

Suggested Citation

  • Fujimori, Shinichiro & Matsuoka, Yuzuru, 2011. "Development of method for estimation of world industrial energy consumption and its application," Energy Economics, Elsevier, vol. 33(3), pages 461-473, May.
  • Handle: RePEc:eee:eneeco:v:33:y:2011:i:3:p:461-473
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Hermann Lotze-Campen & Martin Lampe & Page Kyle & Shinichiro Fujimori & Petr Havlik & Hans Meijl & Tomoko Hasegawa & Alexander Popp & Christoph Schmitz & Andrzej Tabeau & Hugo Valin & Dirk Willenbocke, 2014. "Impacts of increased bioenergy demand on global food markets: an AgMIP economic model intercomparison," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 103-116, January.
    2. Fujimori, Shinichiro & Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru, 2016. "Global energy model hindcasting," Energy, Elsevier, vol. 114(C), pages 293-301.
    3. Bilgen, S., 2014. "Structure and environmental impact of global energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 890-902.
    4. repec:eee:appene:v:211:y:2018:i:c:p:590-603 is not listed on IDEAS
    5. Fujimori, Shinichiro & Masui, Toshihiko & Matsuoka, Yuzuru, 2015. "Gains from emission trading under multiple stabilization targets and technological constraints," Energy Economics, Elsevier, vol. 48(C), pages 306-315.
    6. repec:eee:renene:v:114:y:2017:i:pb:p:1294-1305 is not listed on IDEAS
    7. Gavrilova, Olga & Vilu, Raivo, 2012. "Production-based and consumption-based national greenhouse gas inventories: An implication for Estonia," Ecological Economics, Elsevier, vol. 75(C), pages 161-173.
    8. Fujimori, Shinichiro & Masui, Toshihiko & Matsuoka, Yuzuru, 2014. "Development of a global computable general equilibrium model coupled with detailed energy end-use technology," Applied Energy, Elsevier, vol. 128(C), pages 296-306.
    9. Su, Bin & Ang, B.W., 2011. "Multi-region input–output analysis of CO2 emissions embodied in trade: The feedback effects," Ecological Economics, Elsevier, vol. 71(C), pages 42-53.
    10. Fujimori, S. & Kainuma, M. & Masui, T. & Hasegawa, T. & Dai, H., 2014. "The effectiveness of energy service demand reduction: A scenario analysis of global climate change mitigation," Energy Policy, Elsevier, vol. 75(C), pages 379-391.

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