IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v72y2002i3-4p689-704.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306-2619(02)00059-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Wang, Feng & Zhang, Bing, 2016. "Distributional incidence of green electricity price subsidies in China," Energy Policy, Elsevier, vol. 88(C), pages 27-38.
    8. 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.
    9. Umed Temurshoev, 2015. "Uncertainty treatment in input-output analysis," Working Papers 2015-004, Universidad Loyola Andalucía, Department of Economics.
    10. 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.
    11. Chen, Zhan-Ming, 2014. "Inflationary effect of coal price change on the Chinese economy," Applied Energy, Elsevier, vol. 114(C), pages 301-309.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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).
    18. Yuan, Jun & Ng, Szu Hui, 2017. "Emission reduction measures ranking under uncertainty," Applied Energy, Elsevier, vol. 188(C), pages 270-279.
    19. 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.
    20. 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.
    21. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:72:y:2002:i:3-4:p:689-704. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.