Abstract
The Swiss National Centre of Competence in Research (NCCR-Climate) explores the predictability, variability and risks of climate change and the socio-economic response to it. The Paul Scherrer Institut (PSI) and the University of Geneva contribute to this programme by using models to simulate the impacts of policies for climate change mitigation. This study quantifies the benefits of several policies enhancing the flexibility of carbon dioxide (CO2) mitigation, with emphasis placed on emissions trading, optimal timing paths and support for learning-by-doing (LBD) in the use of low-carbon technologies. We present illustrative results for a “Soft-landing” scenario, which imposes a CO2-emission stabilization target that is consistent with stabilizing CO2concentration at 550 ppmv in the long run. This analysis has been conducted with the Global MARKAL Model (GMM), which is a multi-regional, “bottom-up”, partial equilibrium energy-system model with endogenized technology learning (ETL). Incorporation of flexible CO2mitigation policies leads to significant reductions in energy-system costs and marginal costs of CO2abatement as well as increasing diffusion of advanced low-carbon technologies. In the future, an extended GMM model could be linked to a climate model (e.g., C-Goldstein, Marsh et al., 2002) to implement an Integrated Assessment Model (IAM) that would allow examining impacts of climate change.
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Rafaj, P., Kypreos, S., Barreto, L. (2005). Flexible Carbon Mitigation Policies: Analysis with a Global Multi-Regional MARKAL Model. In: Haurie, A., Viguier, L. (eds) The Coupling of Climate and Economic Dynamics. Advances in Global Change Research, vol 22. Springer, Dordrecht. https://doi.org/10.1007/1-4020-3425-3_9
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DOI: https://doi.org/10.1007/1-4020-3425-3_9
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