GTAP Resources: Resource Display
| GTAP Resource #4807 |
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"Compiling and using input–output frameworks through collaborative virtual laboratories" by Lenzen, Manfred, Arne Geschke, Thomas Wiedmann, Joe Lane, Neal Anderson, Timothy Baynes, John Boland, Peter Daniels, Christopher Dey, Jacob Fry, Michalis Hadjikakou, Steven Kenway, Arunima Malik, Daniel Moran, Joy Murray, Stuart Nettleton, Lavinia Poruschi, Christian Reynolds, Hazel Rowley, Julien Ugon, Dean Webb and James West Abstract Compiling, deploying and utilising large-scale databases that integrate environmental and economic data have traditionally been labour- and cost-intensive processes, hindered by the large amount of disparate and misaligned data that must be collected and harmonised. The Australian Industrial Ecology Virtual Laboratory (IELab) is a novel, collaborative approach to compiling large-scale environmentally extended multi-region input–output (MRIO) models. The utility of the IELab product is greatly enhanced by avoiding the need to lock in anMRIO structure at the time the MRIO system is developed. The IELab advances the idea of the “mother–daughter” construction principle, whereby a regionally and sectorally very detailed “mother” table is set up, fromwhich “daughter” tables are derived to suit specific research questions. By introducing a third tier – the “root classification” – IELab users are able to define their own mother-MRIO configuration, at no additional cost in terms of data handling. Customised mother-MRIOs can then be built, which maximise disaggregation in aspects that are useful to a family of research questions. The second innovation in the IELab system is to provide a highly automated collaborative research platform in a cloud-computing environment, greatly expediting workflows and making these computational benefits accessible to all users. Combining these two aspects realises many benefits. The collaborative nature of the IELab development project allows significant savings in resources. Timely deployment is possible by coupling automation procedures with the comprehensive input from multiple teams. User-defined MRIO tables, coupled with high performance computing, mean that MRIO analysis will be useful and accessible for a great many more research applications than would otherwise be possible. By ensuring that a common set of analytical tools such as for hybrid life-cycle. |
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- Baseline development - Trade and the environment - Other data bases and data issues - Oceania |
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Public Access  GTAP Resource 4807 (615.9 KB) Replicated: 0 time(s)Restricted Access No documents have been attached. Special Instructions No instructions have been specified. |
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Last Modified: 9/15/2023 2:05:45 PM
