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Environmentally-Extended Input-Output analyses efficiently sketch large-scale environmental transition plans -- illustration by Canada's road industry

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  • Anne de Bortoli
  • Maxime Agez

Abstract

Industries struggle to build robust environmental transition plans as they lack the tools to quantify their ecological responsibility over their value chain. Companies mostly turn to sole greenhouse gas (GHG) emissions reporting or time-intensive Life Cycle Assessment (LCA), while Environmentally-Extended Input-Output (EEIO) analysis is more efficient on a wider scale. We illustrate EEIO analysis usefulness to sketch transition plans on the example of Canada s road industry - estimation of national environmental contributions, most important environmental issues, main potential transition levers of the sector, and metrics prioritization for green purchase plans). To do so, openIO-Canada, a new Canadian EEIO database, coupled with IMPACT World plus v1.30-1.48 characterization method, provides a multicriteria environmental diagnosis of Canada s economy. The road industry generates a limited impact (0.5-1.8 percent) but must reduce the environmental burden from material purchases - mainly concrete and asphalt products - through green purchase plans and eco-design and invest in new machinery powered with cleaner energies such as low-carbon electricity or bioenergies. EEIO analysis also captures impacts often neglected in process-based pavement LCAs - amortization of capital goods, staff consumptions, and services - and shows some substantial impacts advocating for enlarging system boundaries in standard LCA. Yet, pavement construction and maintenance only explain 5 percent of the life cycle carbon footprint of Canada s road network, against 95 percent for the roads usage. Thereby, a carbon-neutral pathway for the road industry must first focus on reducing vehicle consumption and wear through better design and maintenance of roads (...)

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  • Anne de Bortoli & Maxime Agez, 2023. "Environmentally-Extended Input-Output analyses efficiently sketch large-scale environmental transition plans -- illustration by Canada's road industry," Papers 2301.08302, arXiv.org.
  • Handle: RePEc:arx:papers:2301.08302
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    1. Santero, Nicholas J. & Masanet, Eric & Horvath, Arpad, 2011. "Life-cycle assessment of pavements. Part I: Critical review," Resources, Conservation & Recycling, Elsevier, vol. 55(9), pages 801-809.
    2. Manfred Lenzen & Richard Wood & Thomas Wiedmann, 2010. "Uncertainty Analysis For Multi-Region Input-Output Models - A Case Study Of The Uk'S Carbon Footprint," Economic Systems Research, Taylor & Francis Journals, vol. 22(1), pages 43-63.
    3. Sun, Ya-Yen & Cadarso, Maria Angeles & Driml, Sally, 2020. "Tourism carbon footprint inventories: A review of the environmentally extended input-output approach," Annals of Tourism Research, Elsevier, vol. 82(C).
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    1. Li, Shuping & Meng, Jing & Hubacek, Klaus & Eskander, Shaikh M. S. U. & Li, Yuan & Chen, Peipei & Guan, Dabo, 2024. "Revisiting Copenhagen climate mitigation targets," LSE Research Online Documents on Economics 122815, London School of Economics and Political Science, LSE Library.
    2. Xu, Feng & Li, Xiaodong & Yang, Zhihan & Zhu, Chen, 2024. "Spatiotemporal characteristics and driving factor analysis of embodied CO2 emissions in China's building sector," Energy Policy, Elsevier, vol. 188(C).
    3. Tuyen PHAM, 2024. "Catalyzing Economic And Environmental Insights: Applications Of Implan'S Environmentally Extended Input-Output (Eeio) Modeling For Energy Production Scenarios," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(1), pages 99-106, June.
    4. repec:osf:osfxxx:t35aw_v1 is not listed on IDEAS
    5. Jing Liu & Yujin Yang, 2023. "Controlling Industrial Air-Pollutant Emissions under Multi-Factor Interactions Based on a Developed Hybrid-Factorial Environmental Input–Output Model," Sustainability, MDPI, vol. 15(9), pages 1-22, May.
    6. Hertwich, Edgar, 2024. "Unseen machines: illuminating equipment’s role in climate change mitigation and resource efficiency," OSF Preprints t35aw, Center for Open Science.

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