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Input-output modeling analysis with a detailed disaggregation of energy sectors for climate change policy-making: A case study of Saskatchewan, Canada

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  • Liu, Lirong
  • Huang, Gordon
  • Baetz, Brian
  • Cheng, Guanhui
  • Pittendrigh, Scott M.
  • Pan, Siyue

Abstract

Systematically evaluating the emission intensity and total emission of industries is indispensable for understanding energy and environmental sector performance in general and to support scientific climate change policy-making. In this study, an environmentally extended input-output (EEIO) model with a detailed disaggregation of energy sectors is developed to investigate the life-cycle environmental impacts of different industries. A special case study of the Province of Saskatchewan, Canada, is conducted to illustrate the potential benefits of its use in the environmental policy-making field. The I–O table is transformed and disaggregated based on the energy use patterns and the underlying economic structure. Key GHG emissions, including CO2, CH4 and N2O, are considered and the CO2 equivalent intensities of different economic sectors are calculated. An in-depth analysis of key industries is conducted to further investigate the interactions between different industries. It is founded that the Province of Saskatchewan is a trade exposed and emission intense economy. The emission intensity of agriculture is higher than the mean level, and is difficult to reduce due to the large farm machines used in agricultural production. Fossil-fuel electric power generation, as an intermediate input, has a strong effect on other industries and is a key factor for emission reduction.

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  • Liu, Lirong & Huang, Gordon & Baetz, Brian & Cheng, Guanhui & Pittendrigh, Scott M. & Pan, Siyue, 2020. "Input-output modeling analysis with a detailed disaggregation of energy sectors for climate change policy-making: A case study of Saskatchewan, Canada," Renewable Energy, Elsevier, vol. 151(C), pages 1307-1317.
    • Handle: RePEc:eee:renene:v:151:y:2020:i:c:p:1307-1317
    DOI: 10.1016/j.renene.2019.11.136
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    References listed on IDEAS

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    3. Fan He & Yang Yang & Xin Liu & Dong Wang & Junping Ji & Zhibin Yi, 2021. "Input–Output Analysis of China’s CO 2 Emissions in 2017 Based on Data of 149 Sectors," Sustainability, MDPI, vol. 13(8), pages 1-27, April.
    4. Luo, Bin & Huang, Guohe & Chen, Leian & Liu, Lirong & Zhao, Kai, 2024. "Factorial optimization-driven input-output analysis for socio-economic and environmental effects of GHG emission reduction in electric power systems – A Canadian case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    5. Nourelfath, Mustapha & Lababidi, Haitham M.S. & Aldowaisan, Tariq, 2022. "Socio-economic impacts of strategic oil and gas megaprojects: A case study in Kuwait," International Journal of Production Economics, Elsevier, vol. 246(C).
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    7. Olusola Olaitan Ayeleru & Joshua Adeniyi Adeniran & Sula Bantubakhona Kwesi Ntsaluba & Lanrewaju Ibrahim Fajimi & Peter Apata Olubambi, 2023. "An Economic Analysis of Energy Consumption at Student Residences in a South African-Based Academic Institution Using NARX Neural Network," Energies, MDPI, vol. 16(2), pages 1-14, January.

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