Development of method for estimation of world industrial energy consumption and its application
AbstractThe 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Energy Economics.
Volume (Year): 33 (2011)
Issue (Month): 3 (May)
Contact details of provider:
Web page: http://www.elsevier.com/locate/eneco
Energy balance Data reconciliation Industrial energy consumption;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Erik Dietzenbacher & Ronald E. Miller, 2009. "Ras-Ing The Transactions Or The Coefficients: It Makes No Difference," Journal of Regional Science, Wiley Blackwell, vol. 49(3), pages 555-566.
- Lynn Price & Laurie Michaelis & Ernst Worrell & Marta Khrushch, 1998. "Sectoral Trends and Driving Forces of Global Energy Use and Greenhouse Gas Emissions," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 3(2), pages 263-319, December.
- Karbuz, Sohbet, 1998. "Achieving accurate international comparisons of manufacturing energy use data," Energy Policy, Elsevier, vol. 26(12), pages 973-979, October.
- Schipper, Lee & Ting, Michael & Khrushch, Marta & Golove, William, 1997. "The evolution of carbon dioxide emissions from energy use in industrialized countries: an end-use analysis," Energy Policy, Elsevier, vol. 25(7-9), pages 651-672.
- Su, Bin & Huang, H.C. & Ang, B.W. & Zhou, P., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of sector aggregation," Energy Economics, Elsevier, vol. 32(1), pages 166-175, January.
- Worrell, Ernst & Price, Lynn & Martin, Nathan & Farla, Jacco & Schaeffer, Roberto, 1997. "Energy intensity in the iron and steel industry: a comparison of physical and economic indicators," Energy Policy, Elsevier, vol. 25(7-9), pages 727-744.
- Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers 1488, Iowa State University, Department of Economics.
- Sinton, Jonathan E., 2001. "Accuracy and reliability of China's energy statistics," China Economic Review, Elsevier, vol. 12(4), pages 373-383.
- Robbie Andrew & Glen Peters & James Lennox, 2009. "Approximation And Regional Aggregation In Multi-Regional Input-Output Analysis For National Carbon Footprint Accounting," Economic Systems Research, Taylor & Francis Journals, vol. 21(3), pages 311-335.
- 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.
- de Ia Rue du Can, Stephane & Price, Lynn, 2008. "Sectoral trends in global energy use and greenhouse gas emissions," Energy Policy, Elsevier, vol. 36(4), pages 1386-1403, April.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If references are entirely missing, you can add them using this form.