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Missing inventory estimation tool using extended input-output analysis

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Abstract

Intention, Goal, Scope, Background

Input-Output Analysis (IOA) has recently been introduced to Life Cycle Assessment (LCA). In applying IOA to LCA studies, however, it is important to note that there are both advantages and disadvantages.

Objectives

This paper aims to provide a better understanding of the advantages and disadvantages of adopting IOA in LCA, and introduces the methodology and principles of the Missing Inventory Estimation Tool (MIET) as one of the approaches to combine the strengths of process-specific LCA and IOA. Additionairy, we try to identify a number of possible errors in the use of IOA for LCA purposes, due to confusion between industry output and commodity, consumer’s price and producer’s price.

Method

MIET utilises the 1996 US input-output table and various environmental statistics. It is based on an explicit distinction between commodity and industry output.

Results and Discussion

MIET is a self-contained, publicly available database which can be applied directly in LCA studies to estimate missing processes.

Conclusion

By adopting MILT results in existing, process-based, life-cycle inventory (LCI), LCA practitioners can fully utilise the process-specific information while expanding the system boundary.

Recommendations and Outlook

MIET will be continuously updated to reflect both methodological developments and newly available data sources. For supporting information sec http:// wwwJeidenuniv.nl/cml/ssp/softwarc/miet.

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Authors and Affiliations

  1. CML (Centre of Environmental Science), Leiden University, PO Box 9518, NL-2300RA, Leiden, The Netherlands

    Sangwon Suh & Gjalt Huppes

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  1. Sangwon Suh
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  2. Gjalt Huppes
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Correspondence to Sangwon Suh.

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Suh, S., Huppes, G. Missing inventory estimation tool using extended input-output analysis. Int J LCA 7, 134–140 (2002). https://doi.org/10.1007/BF02994047

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