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Sensitivity analysis of total CO2 emission intensities estimated using an input-output table

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  • Hondo, Hiroki
  • Sakai, Shinsuke
  • Tanno, Shiro

Abstract

This study addresses the problem of uncertainties of total CO2 emission intensities estimated using an input-output (I-O) table for a life-cycle inventory analysis. The validity of the total CO2 emission intensities has been questioned mainly because the amounts of commodities are measured in monetary units, and because various commodities are produced in a single sector of an existing I-O table. In this study, first, a sensitivity analysis of total CO2 emission intensities estimated using the Japanese I-O table was performed to identify the elements that significantly influence the total CO2 emission intensity. If an influential element identified by sensitivity analysis varies widely, the total CO2 emission intensity is greatly influenced. Secondly, how much total CO2 emission intensities vary associated with the variation of those influential elements was evaluated. It was concluded that the evaluation of uncertainties using a stochastic approach as well as the improvement of accuracy by disaggregating the original I-O sectors, focusing on influential elements, are important.

Suggested Citation

  • Hondo, Hiroki & Sakai, Shinsuke & Tanno, Shiro, 2002. "Sensitivity analysis of total CO2 emission intensities estimated using an input-output table," Applied Energy, Elsevier, vol. 72(3-4), pages 689-704, July.
  • Handle: RePEc:eee:appene:v:72:y:2002:i:3-4:p:689-704
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    Cited by:

    1. Zhang, L.X. & Wang, C.B. & Bahaj, A.S., 2014. "Carbon emissions by rural energy in China," Renewable Energy, Elsevier, vol. 66(C), pages 641-649.
    2. Tarancon, Miguel Angel & Del Río, Pablo, 2012. "Assessing energy-related CO2 emissions with sensitivity analysis and input-output techniques," Energy, Elsevier, vol. 37(1), pages 161-170.
    3. Ramos-Carvajal, Carmen & Lasarte-Navamuel, Elena & Hewings, Geoffrey J.D., 2024. "Some considerations on assessing the importance of a coefficient," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    4. Umed Temurshoev, 2015. "Uncertainty treatment in input-output analysis," Working Papers 2015-004, Universidad Loyola Andalucía, Department of Economics.
    5. Whan-Sam Chung & Susumu Tohno, 2009. "A Time-Series Energy Input-Output Analysis for Building an Infrastructure for the Energy and Environment Policy in South Korea," Energy & Environment, , vol. 20(6), pages 875-899, October.
    6. Jingyao Peng & Yidi Sun & Junnian Song & Wei Yang, 2020. "Exploring Potential Pathways toward Energy-Related Carbon Emission Reduction in Heavy Industrial Regions of China: An Input–Output Approach," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    7. Zhang, Yimeng & Wang, Feng & Zhang, Bing, 2023. "The impacts of household structure transitions on household carbon emissions in China," Ecological Economics, Elsevier, vol. 206(C).
    8. Choi, Jun-Ki & Bakshi, Bhavik R. & Hubacek, Klaus & Nader, Jordan, 2016. "A sequential input–output framework to analyze the economic and environmental implications of energy policies: Gas taxes and fuel subsidies," Applied Energy, Elsevier, vol. 184(C), pages 830-839.
    9. René M.J. Benders & Henri C. Moll & Durk S. Nijdam, 2012. "From Energy to Environmental Analysis," Journal of Industrial Ecology, Yale University, vol. 16(2), pages 163-175, April.
    10. Rao, Guangming & Liao, Jiao & Zhu, Yanping & Guo, Lin, 2022. "Decoupling of economic growth from CO2 emissions in Yangtze River Economic Belt sectors: A sectoral correlation effects perspective," Applied Energy, Elsevier, vol. 307(C).
    11. Hondo, Hiroki & Moriizumi, Yue, 2017. "Employment creation potential of renewable power generation technologies: A life cycle approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 128-136.
    12. 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.
    13. Ling Li & Ling Tang & Junrong Zhang, 2019. "Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO 2 Emission Intensity in China," Energies, MDPI, vol. 12(12), pages 1-23, June.
    14. Wang, Feng & Zhang, Bing, 2016. "Distributional incidence of green electricity price subsidies in China," Energy Policy, Elsevier, vol. 88(C), pages 27-38.
    15. Fenner, Andriel Evandro & Kibert, Charles Joseph & Woo, Junghoon & Morque, Shirley & Razkenari, Mohamad & Hakim, Hamed & Lu, Xiaoshu, 2018. "The carbon footprint of buildings: A review of methodologies and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 1142-1152.
    16. Benders, Rene M.J. & Kok, Rixt & Moll, Henri C. & Wiersma, Gerwin & Noorman, Klaas Jan, 2006. "New approaches for household energy conservation--In search of personal household energy budgets and energy reduction options," Energy Policy, Elsevier, vol. 34(18), pages 3612-3622, December.
    17. Chen, Zhan-Ming, 2014. "Inflationary effect of coal price change on the Chinese economy," Applied Energy, Elsevier, vol. 114(C), pages 301-309.
    18. Tao Lin & Junna Yan, 2017. "Investigating the sensitivity factors of household indirect CO2 emission from the production side," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 721-740, September.
    19. Mechri, Houcem Eddine & Capozzoli, Alfonso & Corrado, Vincenzo, 2010. "USE of the ANOVA approach for sensitive building energy design," Applied Energy, Elsevier, vol. 87(10), pages 3073-3083, October.
    20. Fu, Feng & Liu, Hongtao & Polenske, Karen R. & Li, Zheng, 2013. "Measuring the energy consumption of China’s domestic investment from 1992 to 2007," Applied Energy, Elsevier, vol. 102(C), pages 1267-1274.
    21. Yuan, Jun & Ng, Szu Hui, 2017. "Emission reduction measures ranking under uncertainty," Applied Energy, Elsevier, vol. 188(C), pages 270-279.
    22. Yan, Junna & Zhao, Tao & Kang, Jidong, 2016. "Sensitivity analysis of technology and supply change for CO2 emission intensity of energy-intensive industries based on input–output model," Applied Energy, Elsevier, vol. 171(C), pages 456-467.

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