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Methods for Downscaling National Material Consumption Data to the Regional and Municipal Levels

Author

Listed:
  • Alexandra Lavers Westin

    (Department of Architecture and Civil Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden)

  • Leonardo Rosado

    (Department of Architecture and Civil Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden)

  • Yuliya Kalmykova

    (Department of Architecture and Civil Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden)

  • João Patrício

    (Department of Architecture and Civil Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden)

Abstract

Decision makers are looking to reach consumption-based environmental impact targets like Sustainable Development Goal 12, Responsible Consumption and Production. These goals require multifaceted action at municipal, regional, and national levels; however, there are limitations to calculating consumption at the regional and municipal levels. Consumption is dependent on the socioeconomic metabolism of the area, with its unique composition of industries, consumers, and public facilities, which may affect the most appropriate measures to meet goals effectively. In this study, we evaluated several methods to extrapolate municipality- and region-specific consumption from national-level data so that consumption estimates can be used to aid decision makers or make further analyses like environmental impact evaluation. We compared four approaches and validated our findings using reported consumption values as well as results from another model in use. We found that using per capita values for consumption is satisfactory for counties, but consumption in municipalities and metropolitan areas with populations smaller than 500,000 inhabitants was better described by one of the suggested methods on average.

Suggested Citation

  • Alexandra Lavers Westin & Leonardo Rosado & Yuliya Kalmykova & João Patrício, 2020. "Methods for Downscaling National Material Consumption Data to the Regional and Municipal Levels," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:20:p:8336-:d:425806
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    References listed on IDEAS

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    1. Thomas, Brinda A. & Azevedo, Inês L., 2013. "Estimating direct and indirect rebound effects for U.S. households with input–output analysis Part 1: Theoretical framework," Ecological Economics, Elsevier, vol. 86(C), pages 199-210.
    2. Vita, Gibran & Lundström, Johan R. & Hertwich, Edgar G. & Quist, Jaco & Ivanova, Diana & Stadler, Konstantin & Wood, Richard, 2019. "The Environmental Impact of Green Consumption and Sufficiency Lifestyles Scenarios in Europe: Connecting Local Sustainability Visions to Global Consequences," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    3. Marco Bianchi & Carlos Tapia & Ikerne del Valle, 2020. "Monitoring domestic material consumption at lower territorial levels: A novel data downscaling method," Journal of Industrial Ecology, Yale University, vol. 24(5), pages 1074-1087, October.
    4. 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.
    5. Manfred Lenzen & Greg M. Peters, 2010. "How City Dwellers Affect Their Resource Hinterland," Journal of Industrial Ecology, Yale University, vol. 14(1), pages 73-90, January.
    6. Alice Whetstone & Yuliya Kalmykova & Leonardo Rosado & Alexandra Lavers Westin, 2020. "Informing Sustainable Consumption in Urban Districts: A Method for Transforming Household Expenditures into Physical Quantities," Sustainability, MDPI, vol. 12(3), pages 1-16, January.
    7. Jukka Heinonen & Seppo Junnila, 2011. "A Carbon Consumption Comparison of Rural and Urban Lifestyles," Sustainability, MDPI, vol. 3(8), pages 1-16, August.
    8. Ulrich Graute, 2016. "Local Authorities Acting Globally for Sustainable Development," Regional Studies, Taylor & Francis Journals, vol. 50(11), pages 1931-1942, November.
    9. J. C. Minx & T. Wiedmann & R. Wood & G. P. Peters & M. Lenzen & A. Owen & K. Scott & J. Barrett & K. Hubacek & G. Baiocchi & A. Paul & E. Dawkins & J. Briggs & D. Guan & S. Suh & F. Ackerman, 2009. "Input-Output Analysis And Carbon Footprinting: An Overview Of Applications," Economic Systems Research, Taylor & Francis Journals, vol. 21(3), pages 187-216.
    10. Larsen, Hogne N. & Hertwich, Edgar G., 2010. "Identifying important characteristics of municipal carbon footprints," Ecological Economics, Elsevier, vol. 70(1), pages 60-66, November.
    11. Andrea Collins & Andrew Flynn & Thomas Wiedmann & John Barrett, 2006. "The Environmental Impacts of Consumption at a Subnational Level," Journal of Industrial Ecology, Yale University, vol. 10(3), pages 9-24, July.
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