Literature DB >> 27443295

The UK waste input-output table: Linking waste generation to the UK economy.

Ramy Salemdeeb1, Abir Al-Tabbaa2, Christian Reynolds3.   

Abstract

In order to achieve a circular economy, there must be a greater understanding of the links between economic activity and waste generation. This study introduces the first version of the UK waste input-output table that could be used to quantify both direct and indirect waste arisings across the supply chain. The proposed waste input-output table features 21 industrial sectors and 34 waste types and is for the 2010 time-period. Using the waste input-output table, the study results quantitatively confirm that sectors with a long supply chain (i.e. manufacturing and services sectors) have higher indirect waste generation rates compared with industrial primary sectors (e.g. mining and quarrying) and sectors with a shorter supply chain (e.g. construction). Results also reveal that the construction, mining and quarrying sectors have the highest waste generation rates, 742 and 694 tonne per £1m of final demand, respectively. Owing to the aggregated format of the first version of the waste input-output, the model does not address the relationship between waste generation and recycling activities. Therefore, an updated version of the waste input-output table is expected be developed considering this issue. Consequently, the expanded model would lead to a better understanding of waste and resource flows in the supply chain.
© The Author(s) 2016.

Keywords:  Environmental accounting; circular economy; input–output analysis (IOA); waste attribution; waste footprint

Mesh:

Substances:

Year:  2016        PMID: 27443295     DOI: 10.1177/0734242X16658545

Source DB:  PubMed          Journal:  Waste Manag Res


  1 in total

1.  Analyzing Economy-Scale Solid Waste Generation Using the United States Environmentally-Extended Input-Output Model.

Authors:  David E Meyer; Mo Li; Wesley W Ingwersen
Journal:  Resour Conserv Recycl       Date:  2020-06-01       Impact factor: 10.204

  1 in total

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