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A hybrid multi-region method (HMR) for assessing the environmental impact of private consumption

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  • Vringer, Kees
  • Benders, René
  • Wilting, Harry
  • Brink, Corjan
  • Drissen, Eric
  • Nijdam, Durk
  • Hoogervorst, Nico

Abstract

The environmental load from consumption can be reduced by changing consumption patterns. For an effective consumer policy to reduce the environmental load from society, we need insight into the environmental load from consumption patterns. This requires detailed accurate quantitative environmental information about many consumer products. Current methods for establishing this information about many consumer products do not combine process data with multiregional data. This paper aims to give more insight into the added value of using multiregional data and process data. It also proposes to combine both kinds of data into one application. The use of multiregional input-output data appears to be important to establish the total environmental load from consumption. Using multiregional data and process data both result in substantial changes in the estimated environmental load of consumption products on a more detailed level. The results indicate that using both multiregional and process data will improve the estimates of the environmental impacts of consumption patterns. Therefore, we propose a hybrid multi-region (HMR) method, which is successfully applied for the Netherlands.

Suggested Citation

  • Vringer, Kees & Benders, René & Wilting, Harry & Brink, Corjan & Drissen, Eric & Nijdam, Durk & Hoogervorst, Nico, 2010. "A hybrid multi-region method (HMR) for assessing the environmental impact of private consumption," Ecological Economics, Elsevier, vol. 69(12), pages 2510-2516, October.
  • Handle: RePEc:eee:ecolec:v:69:y:2010:i:12:p:2510-2516
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    References listed on IDEAS

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    2. Tramberend, Sylvia & Fischer, Günther & Bruckner, Martin & van Velthuizen, Harrij, 2019. "Our Common Cropland: Quantifying Global Agricultural Land Use from a Consumption Perspective," Ecological Economics, Elsevier, vol. 157(C), pages 332-341.
    3. Philipp Schepelmann & An Vercalsteren & José Acosta-Fernandez & Mathieu Saurat & Katrien Boonen & Maarten Christis & Giovanni Marin & Roberto Zoboli & Cathy Maguire, 2020. "Driving Forces of Changing Environmental Pressures from Consumption in the European Food System," Sustainability, MDPI, vol. 12(19), pages 1-30, October.
    4. Corné Van Dooren & Marcelo Tyszler & Gerard F. H. Kramer & Harry Aiking, 2015. "Combining Low Price, Low Climate Impact and High Nutritional Value in One Shopping Basket through Diet Optimization by Linear Programming," Sustainability, MDPI, vol. 7(9), pages 1-19, September.
    5. Ryoji Hasegawa & Shigemi Kagawa & Makiko Tsukui, 2015. "Carbon footprint analysis through constructing a multi-region input–output table: a case study of Japan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-20, December.
    6. Nijdam, Durk S. & Rood, Trudy G.A. & van Oorschot, Mark M.P., 2019. "Land use related to Dutch consumption, 1990–2013," Land Use Policy, Elsevier, vol. 82(C), pages 401-413.
    7. Morena Bruno & Marianne Thomsen & Federico Maria Pulselli & Nicoletta Patrizi & Michele Marini & Dario Caro, 2019. "The carbon footprint of Danish diets," Climatic Change, Springer, vol. 156(4), pages 489-507, October.
    8. René M.J. Benders & Henri C. Moll & Durk S. Nijdam, 2012. "From Energy to Environmental Analysis," Journal of Industrial Ecology, Yale University, vol. 16(2), pages 163-175, April.
    9. van Dooren, C. & Marinussen, Mari & Blonk, Hans & Aiking, Harry & Vellinga, Pier, 2014. "Exploring dietary guidelines based on ecological and nutritional values: A comparison of six dietary patterns," Food Policy, Elsevier, vol. 44(C), pages 36-46.
    10. Bruckner, Martin & Fischer, Günther & Tramberend, Sylvia & Giljum, Stefan, 2015. "Measuring telecouplings in the global land system: A review and comparative evaluation of land footprint accounting methods," Ecological Economics, Elsevier, vol. 114(C), pages 11-21.

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