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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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    1. S. Lindner & J. Legault & D. Guan, 2013. "Disaggregating The Electricity Sector Of China'S Input-Output Table For Improved Environmental Life-Cycle Assessment," Economic Systems Research, Taylor & Francis Journals, vol. 25(3), pages 300-320, September.
    2. Druckman, Angela & Jackson, Tim, 2009. "The carbon footprint of UK households 1990-2004: A socio-economically disaggregated, quasi-multi-regional input-output model," Ecological Economics, Elsevier, vol. 68(7), pages 2066-2077, May.
    3. Hamilton, Thomas Gerard Adam & Kelly, Scott, 2017. "Low carbon energy scenarios for sub-Saharan Africa: An input-output analysis on the effects of universal energy access and economic growth," Energy Policy, Elsevier, vol. 105(C), pages 303-319.
    4. Gjalt Huppes & Arjan de Koning & Sangwon Suh & Reinout Heijungs & Lauran van Oers & Per Nielsen & Jeroen B. Guinée, 2006. "Environmental Impacts of Consumption in the European Union:High‐Resolution Input‐Output Tables with Detailed Environmental Extensions," Journal of Industrial Ecology, Yale University, vol. 10(3), pages 129-146, July.
    5. Dixit, Manish K., 2017. "Embodied energy analysis of building materials: An improved IO-based hybrid method using sectoral disaggregation," Energy, Elsevier, vol. 124(C), pages 46-58.
    6. Liu, Lirong & Huang, Charley Z. & Huang, Guohe & Baetz, Brian & Pittendrigh, Scott M., 2018. "How a carbon tax will affect an emission-intensive economy: A case study of the Province of Saskatchewan, Canada," Energy, Elsevier, vol. 159(C), pages 817-826.
    7. Liu, Lirong & Huang, Guohe & Baetz, Brian & Zhang, Kaiqiang, 2018. "Environmentally-extended input-output simulation for analyzing production-based and consumption-based industrial greenhouse gas mitigation policies," Applied Energy, Elsevier, vol. 232(C), pages 69-78.
    8. 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.
    9. de Koning, Arjan & Bruckner, Martin & Lutter, Stephan & Wood, Richard & Stadler, Konstantin & Tukker, Arnold, 2015. "Effect of aggregation and disaggregation on embodied material use of products in input–output analysis," Ecological Economics, Elsevier, vol. 116(C), pages 289-299.
    10. Su, Bin & Ang, B.W. & Li, Yingzhu, 2017. "Input-output and structural decomposition analysis of Singapore's carbon emissions," Energy Policy, Elsevier, vol. 105(C), pages 484-492.
    11. Wolsky, Alan Martin, 1984. "Disaggregating Input-Output Models," The Review of Economics and Statistics, MIT Press, vol. 66(2), pages 283-291, May.
    12. 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.
    13. Brizga, Janis & Feng, Kuishuang & Hubacek, Klaus, 2017. "Household carbon footprints in the Baltic States: A global multi-regional input–output analysis from 1995 to 2011," Applied Energy, Elsevier, vol. 189(C), pages 780-788.
    14. Su, Bin & Ang, B.W., 2015. "Multiplicative decomposition of aggregate carbon intensity change using input–output analysis," Applied Energy, Elsevier, vol. 154(C), pages 13-20.
    15. Liu, Lirong & Huang, Guohe & Baetz, Brian & Huang, Charley Z. & Zhang, Kaiqiang, 2019. "Integrated GHG emissions and emission relationships analysis through a disaggregated ecologically-extended input-output model; A case study for Saskatchewan, Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 106(C), pages 97-109.
    16. Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
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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.
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