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Estimating Uncertainty in Household Energy Footprints

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  • Jihoon Min
  • Narasimha D. Rao

Abstract

We develop a methodology to characterize and quantify uncertainty in relating consumption to production in household energy footprints. This uncertainty arises primarily from inconsistencies between national accounts and household surveys and, to a smaller extent, from using aggregated sectors. Researchers may introduce significant inaccuracies by ignoring these inconsistencies when reporting household footprints. We apply the methodology to India and Brazil, where we find the size of this uncertainty to be higher than 20% of footprints at most income levels. We expect that previous estimates for these countries may have been overestimated due to these inconsistencies. Other knowledge gaps, such as inaccuracies in multiregional input‐output tables and household surveys, add further uncertainty beyond our estimates.

Suggested Citation

  • Jihoon Min & Narasimha D. Rao, 2018. "Estimating Uncertainty in Household Energy Footprints," Journal of Industrial Ecology, Yale University, vol. 22(6), pages 1307-1317, December.
  • Handle: RePEc:bla:inecol:v:22:y:2018:i:6:p:1307-1317
    DOI: 10.1111/jiec.12670
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    1. Angus Deaton, 2005. "Measuring Poverty in a Growing World (or Measuring Growth in a Poor World)," The Review of Economics and Statistics, MIT Press, vol. 87(1), pages 1-19, February.
    2. Richard Wood & Konstantin Stadler & Tatyana Bulavskaya & Stephan Lutter & Stefan Giljum & Arjan De Koning & Jeroen Kuenen & Helmut Schütz & José Acosta-Fernández & Arkaitz Usubiaga & Moana Simas & Olg, 2014. "Global Sustainability Accounting—Developing EXIOBASE for Multi-Regional Footprint Analysis," Sustainability, MDPI, vol. 7(1), pages 1-26, December.
    3. Arnold Tukker & Arjan de Koning & Richard Wood & Troy Hawkins & Stephan Lutter & Jose Acosta & Jose M. Rueda Cantuche & Maaike Bouwmeester & Jan Oosterhaven & Thomas Drosdowski & Jeroen Kuenen, 2013. "Exiopol - Development And Illustrative Analyses Of A Detailed Global Mr Ee Sut/Iot," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 50-70, March.
    4. Liu, Hong-Tao & Guo, Ju-E & Qian, Dong & Xi, You-Min, 2009. "Comprehensive evaluation of household indirect energy consumption and impacts of alternative energy policies in China by input-output analysis," Energy Policy, Elsevier, vol. 37(8), pages 3194-3204, August.
    5. Wiedmann, Thomas, 2009. "A review of recent multi-region input-output models used for consumption-based emission and resource accounting," Ecological Economics, Elsevier, vol. 69(2), pages 211-222, December.
    6. Kjartan Steen-Olsen & Richard Wood & Edgar G. Hertwich, 2016. "The Carbon Footprint of Norwegian Household Consumption 1999–2012," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 582-592, June.
    7. Arkaitz Usubiaga & José Acosta-Fernández, 2015. "Carbon Emission Accounting In Mrio Models: The Territory Vs. The Residence Principle," Economic Systems Research, Taylor & Francis Journals, vol. 27(4), pages 458-477, December.
    8. Manfred Lenzen & Richard Wood & Thomas Wiedmann, 2010. "Uncertainty Analysis For Multi-Region Input-Output Models - A Case Study Of The Uk'S Carbon Footprint," Economic Systems Research, Taylor & Francis Journals, vol. 22(1), pages 43-63.
    9. Lenzen, Manfred & Dey, Christopher & Foran, Barney, 2004. "Energy requirements of Sydney households," Ecological Economics, Elsevier, vol. 49(3), pages 375-399, July.
    10. Harry C. Wilting, 2012. "Sensitivity And Uncertainty Analysis In Mrio Modelling; Some Empirical Results With Regard To The Dutch Carbon Footprint," Economic Systems Research, Taylor & Francis Journals, vol. 24(2), pages 141-171, September.
    11. Manfred Lenzen, 2011. "Aggregation Versus Disaggregation In Input-Output Analysis Of The Environment," Economic Systems Research, Taylor & Francis Journals, vol. 23(1), pages 73-89.
    12. Park, Hi-Chun & Heo, Eunnyeong, 2007. "The direct and indirect household energy requirements in the Republic of Korea from 1980 to 2000--An input-output analysis," Energy Policy, Elsevier, vol. 35(5), pages 2839-2851, May.
    13. Cohen, Claude & Lenzen, Manfred & Schaeffer, Roberto, 2005. "Energy requirements of households in Brazil," Energy Policy, Elsevier, vol. 33(4), pages 555-562, March.
    14. Lenzen, Manfred, 1998. "Primary energy and greenhouse gases embodied in Australian final consumption: an input-output analysis," Energy Policy, Elsevier, vol. 26(6), pages 495-506, May.
    15. Angus Deaton, 2005. "ERRATUM: Measuring Poverty in a Growing World (or Measuring Growth in a Poor World)," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 395-395, May.
    16. Manfred Lenzen & Lise-Lotte Pade & Jesper Munksgaard, 2004. "CO2 Multipliers in Multi-region Input-Output Models," Economic Systems Research, Taylor & Francis Journals, vol. 16(4), pages 391-412.
    17. Kok, Rixt & Benders, Rene M.J. & Moll, Henri C., 2006. "Measuring the environmental load of household consumption using some methods based on input-output energy analysis: A comparison of methods and a discussion of results," Energy Policy, Elsevier, vol. 34(17), pages 2744-2761, November.
    18. Pachauri, Shonali & Spreng, Daniel, 2002. "Direct and indirect energy requirements of households in India," Energy Policy, Elsevier, vol. 30(6), pages 511-523, May.
    19. Satoshi Inomata & Anne Owen, 2014. "Comparative Evaluation Of Mrio Databases," Economic Systems Research, Taylor & Francis Journals, vol. 26(3), pages 239-244, September.
    20. Diana Ivanova & Konstantin Stadler & Kjartan Steen-Olsen & Richard Wood & Gibran Vita & Arnold Tukker & Edgar G. Hertwich, 2016. "Environmental Impact Assessment of Household Consumption," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 526-536, June.
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