Mengyu Li, Lorenz T. Keyßer, J. Kikstra, J. Hickel, P. Brockway, Nicolas Dai, Arunima Malik, M. Lenzen
{"title":"Integrated assessment modelling of degrowth scenarios for Australia","authors":"Mengyu Li, Lorenz T. Keyßer, J. Kikstra, J. Hickel, P. Brockway, Nicolas Dai, Arunima Malik, M. Lenzen","doi":"10.1080/09535314.2023.2245544","DOIUrl":null,"url":null,"abstract":"Empirical evidence increasingly indicates that to achieve sufficiently rapid decarbonisation, high-income economies may need to adopt degrowth policies, scaling down less-necessary forms of production and demand, in addition to rapid deployment of renewables. Calls have been made for degrowth climate mitigation scenarios. However, so far these have not been modelled within the established Integrated Assessment Models (IAMs) for future scenario analysis of the energy-economy-emission nexus, partly because the architecture of these IAMs has growth ‘baked in’. In this work, we modify one of the common IAMs – MESSAGEix – to make it compatible with degrowth scenarios. We simulate scenarios featuring low and negative growth in a high-income economy (Australia). We achieve this by detaching MESSAGEix from its monotonically growing utility function, and by formulating an alternative utility function based on non-monotonic preferences. The outcomes from such modified scenarios reflect some characteristics of degrowth futures, including reduced aggregate production and declining energy and emissions. However, further work is needed to explore other key degrowth fea-turessuchassectoraldifferentiation,redistribution,andprovisioningsystemtransformation.","PeriodicalId":47760,"journal":{"name":"Economic Systems Research","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Systems Research","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1080/09535314.2023.2245544","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 2
Abstract
Empirical evidence increasingly indicates that to achieve sufficiently rapid decarbonisation, high-income economies may need to adopt degrowth policies, scaling down less-necessary forms of production and demand, in addition to rapid deployment of renewables. Calls have been made for degrowth climate mitigation scenarios. However, so far these have not been modelled within the established Integrated Assessment Models (IAMs) for future scenario analysis of the energy-economy-emission nexus, partly because the architecture of these IAMs has growth ‘baked in’. In this work, we modify one of the common IAMs – MESSAGEix – to make it compatible with degrowth scenarios. We simulate scenarios featuring low and negative growth in a high-income economy (Australia). We achieve this by detaching MESSAGEix from its monotonically growing utility function, and by formulating an alternative utility function based on non-monotonic preferences. The outcomes from such modified scenarios reflect some characteristics of degrowth futures, including reduced aggregate production and declining energy and emissions. However, further work is needed to explore other key degrowth fea-turessuchassectoraldifferentiation,redistribution,andprovisioningsystemtransformation.
期刊介绍:
Economic Systems Research is a double blind peer-reviewed scientific journal dedicated to the furtherance of theoretical and factual knowledge about economic systems, structures and processes, and their change through time and space, at the subnational, national and international level. The journal contains sensible, matter-of-fact tools and data for modelling, policy analysis, planning and decision making in large economic environments. It promotes understanding in economic thinking and between theoretical schools of East and West, North and South.