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.
Authors
- Arunima Malik (ORCID: https://orcid.org/0000-0002-4630-9869)
- Qiyu Liu (ORCID: https://orcid.org/0000-0003-1475-2732)
- Manfred Lenzen (ORCID: https://orcid.org/0000-0002-0828-5288)
- Nicolas Dai (ORCID: https://orcid.org/0000-0002-5924-6326)
- Mengyu Li (ORCID: https://orcid.org/0000-0002-6791-1170)
Institutions
- The University of Sydney (AU)
- Chalmers University of Technology (SE)
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
Funders
- Australian Research Council