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Advancements in Input‐Output Models and Indicators for Consumption‐Based Accounting

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  • Arunima Malik
  • Darian McBain
  • Thomas O. Wiedmann
  • Manfred Lenzen
  • Joy Murray

Abstract

The use of global, multiregional input‐output (MRIO) analysis for consumption‐based (footprint) accounting has expanded significantly over the last decade. Most of the global studies on environmental and social impacts associated with consumption or embodied in international trade would have been impossible without the rapid development of extended MRIO databases. We present an overview of the developments in the field of MRIO analysis, in particular as applied to consumption‐based environmental and social footprints. We first provide a discussion of research published on various global MRIO databases and the differences between them, before focusing on the virtual laboratory computing infrastructure for potentially making MRIO databases more accessible for collaborative research, and also for supporting greater sectoral and regional detail. We discuss work that includes a broader range of extensions, in particular the inclusion of social indicators in consumption‐based accounting. We conclude by discussing the need for the development of detailed nested MRIO tables for investigating linkages between regions of different countries, and the applications of the rapidly growing field of global MRIO analysis for assessing a country's performance toward the United Nations Sustainable Development Goals.

Suggested Citation

  • Arunima Malik & Darian McBain & Thomas O. Wiedmann & Manfred Lenzen & Joy Murray, 2019. "Advancements in Input‐Output Models and Indicators for Consumption‐Based Accounting," Journal of Industrial Ecology, Yale University, vol. 23(2), pages 300-312, April.
  • Handle: RePEc:bla:inecol:v:23:y:2019:i:2:p:300-312
    DOI: 10.1111/jiec.12771
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    Cited by:

    1. Rui Song & Jing Liu & Kunyu Niu & Yiyu Feng, 2023. "Comparative Analysis of Trade’s Impact on Agricultural Carbon Emissions in China and the United States," Agriculture, MDPI, vol. 13(10), pages 1-16, October.
    2. Li, Xi & Ouyang, Zhigang & Zhang, Qiong & Shang, Wen-long & Huang, Liqiao & Wu, Yi & Gao, Yuning, 2022. "Evaluating food supply chain emissions from Japanese household consumption," Applied Energy, Elsevier, vol. 306(PB).
    3. Florian Dierickx & Arnaud Diemer, 2020. "Challenging a Methodology to Analyse the Cycling of Materials and Induced Energy use Over Time," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 26(4), pages 106-124, November.

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