Coupling an integrated assessment model with an input–output database

MESSAGE is an Integrated Assessment Model (IAM) useful for developing anthropogenic climate change scenarios and the evaluation of long-term energy policies. MESSAGE is constrained by its internal scenario generator, which project energy commodity demand inputs based only on population and GDP growth assumptions; the lack of sectoral and supply-chain details prevents modeling impacts from develpoments in non-energy sectors. Here we link MESSAGEix-Australia, a national-level MESSAGE IAM variant, to an input-output scenario builder to generate future energy commodity demands. The coupled IO_IAM framework then captures indirect energy implications of various socio-economic scenarios. Two scenarios were used to demonstrate this capability: first on the policy-based decarbonisation pathways for Australia, and second on the adoption of self-healing roads. This study showcases that a link between IO and IAM methods provides an opportunity for bringing together the strengths of the two approaches for assessing a wide range of sustainability questions.

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Publication Details

Journal
Economic Systems Research
Published
2024-08-19
DOI
https://doi.org/10.1080/09535314.2024.2387023
Citations
3
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.62

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article

Coupling an integrated assessment model with an input–output database

Arunima Malik, Qiyu Liu, Manfred Lenzen, Nicolas Dai et al.
3 citations
Economic Systems Research
Environmental Impact and Sustainability
0.62
article

Coupling an integrated assessment model with an input–output database

Arunima Malik, Qiyu Liu, Manfred Lenzen, Nicolas Dai, Mengyu Li
article en
3 citations

Abstract

MESSAGE is an Integrated Assessment Model (IAM) useful for developing anthropogenic climate change scenarios and the evaluation of long-term energy policies. MESSAGE is constrained by its internal scenario generator, which project energy commodity demand inputs based only on population and GDP growth assumptions; the lack of sectoral and supply-chain details prevents modeling impacts from develpoments in non-energy sectors. Here we link MESSAGEix-Australia, a national-level MESSAGE IAM variant, to an input-output scenario builder to generate future energy commodity demands. The coupled IO_IAM framework then captures indirect energy implications of various socio-economic scenarios. Two scenarios were used to demonstrate this capability: first on the policy-based decarbonisation pathways for Australia, and second on the adoption of self-healing roads. This study showcases that a link between IO and IAM methods provides an opportunity for bringing together the strengths of the two approaches for assessing a wide range of sustainability questions.

Economic Systems ResearchVol. 36(4)
The University of Sydney (AU), Chalmers University of Technology (SE)
Australian Research Council
Openalex Percentile: Top 36%
Environmental Impact and Sustainability
0.62
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