skip to main content
10.1145/3533254.3533266acmotherconferencesArticle/Chapter ViewAbstractPublication PagesieeaConference Proceedingsconference-collections
research-article

What are the Embedded Emissions from Industrial Consumption?

Published:06 July 2022Publication History

ABSTRACT

Final demand embedded emissions are a hot topic in carbon emission mitigation research. Embedding intermediate industrial production (output) emissions into final demand has been extensively studied. However, embedding intermediate industrial consumption (input) emissions into final demand is not well understood. That is mainly due to the complexity of embedding industrial consumption emissions into final demand. Some studies have argued that the latter method is fair and effective in assigning emissions to final demand. This study aims to explain the theory and methodology of embedding industrial consumption-induced emissions to final demand. And to show whether or not the results achieved under the two approaches differ from each other. The study achieves its aim by simply explaining the theory and methodology behind embedding industrial consumption emissions into final demand. And by showing that the results achieved under these two approaches are also quite different at the industrial level. Future researchers and policymakers need to consider alternative methods such as industrial consumption embedded emissions to reduce industrial carbon emissions effectively.

References

  1. Sajid M J 2020 Modelling Best Fit- curve Between China's Production and Consumption-based Temporal Carbon Emissions and Selective Socio-economic Driving Factors. IOP Conf. Ser. Earth Environ. 431Google ScholarGoogle Scholar
  2. Mi Z, Zhang Y, Guan D, Shan Y, Liu Z, Cong R and Yuan X 2016 Consumption-based emission accounting for Chinese cities 184 1073–81Google ScholarGoogle Scholar
  3. Cao Q, Kang W, Sajid M J and Cao M 2018 Measuring China's carbon emissions based on final consumption Energy Procedia 152 853–62Google ScholarGoogle Scholar
  4. Sajid M J, Qiao W, Cao Q and Kang W 2020 Prospects of industrial consumption embedded final emissions: a revision on Chinese household embodied industrial emissions Sci. Rep. 10Google ScholarGoogle Scholar
  5. Sajid M J 2021 Structural decomposition and Regional Sensitivity Analysis of industrial consumption embedded emissions from Chinese households Ecol. Indic. 122 107237Google ScholarGoogle ScholarCross RefCross Ref
  6. Sajid M J 2020 Machine Learned Artificial Neural Networks Vs Linear Regression: A Case of Chinese Carbon Emissions IOP Conf. Ser. Earth Environ. Sci. Pap. 495 012044Google ScholarGoogle ScholarCross RefCross Ref
  7. Duarte R, Sa J and Bielsa J 2002 Water use in the Spanish economy: An input-output approach Ecol. Econ. 43 71–85Google ScholarGoogle ScholarCross RefCross Ref
  8. Sajid M J 2020 Inter-sectoral carbon ties and final demand in a high climate risk country: The case of Pakistan J. Clean. Prod. 269 122254Google ScholarGoogle Scholar
  9. Sajid M J, Li X and Cao Q 2019 Demand and supply-side carbon linkages of Turkish economy using hypothetical extraction method J. Clean. Prod. 228 264–75Google ScholarGoogle Scholar
  10. Sajid M J, Shahni N and Ali M 2019 Calculating inter-sectoral carbon flows of a mining sector via hypothetical extraction method J. Min. Environ. 10 853–67Google ScholarGoogle Scholar
  11. Sajid M J, Qingren C, Ming C and Shuang L 2020 Sectoral carbon linkages of Indian economy based on hypothetical extraction model Int. J. Clim. Chang. Strateg. Manag. 1756–8692Google ScholarGoogle Scholar
  12. Sajid M J, Cao Q and Kang W 2019 Transport sector carbon linkages of EU's top seven emitters Transp. Policy 80 24–38Google ScholarGoogle Scholar
  13. National Bureau of Statistics of China 2015 China Statistical Year Book 2015 China Stat. PressGoogle ScholarGoogle Scholar
  14. Xu S C 2001 The current method of calculating value-added of industrial and agricultural value-invariant and its reform in China (In Chinese) Manage. World 03 61–6Google ScholarGoogle Scholar
  15. Cao Q, Kang W, Xu S, Sajid M J and Cao M 2019 Estimation and decomposition analysis of carbon emissions from the entire production cycle for Chinese household consumption J. Environ. Manage. 247 525–37Google ScholarGoogle ScholarCross RefCross Ref
  16. Department of energy statistics: National bureau of Statistics 2016 China Energy Statistical Yearbook 2016 ed W Jianwu (China Statistics Publishing House)Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    IEEA '22: Proceedings of the 11th International Conference on Informatics, Environment, Energy and Applications
    March 2022
    85 pages
    ISBN:9781450395830
    DOI:10.1145/3533254

    Copyright © 2022 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 6 July 2022

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited
  • Article Metrics

    • Downloads (Last 12 months)8
    • Downloads (Last 6 weeks)0

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format