Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/215074 
Year of Publication: 
2020
Series/Report no.: 
CESifo Working Paper No. 8072
Publisher: 
Center for Economic Studies and ifo Institute (CESifo), Munich
Abstract: 
Limiting global warming in line with the goals in the Paris Agreement will require substantial technological and behavioural transformations. This challenge drives many of the current modelling trends. This paper undertakes a review of 17 state-of-the-art recursive-dynamic computable general equilibrium (CGE) models and assesses the key methodologies and applied modules they use for representing sectoral energy and emission characteristics and dynamics. The purpose is to provide technical insight into recent advances in the modelling of current and future energy and abatement technologies and how they can be used to make baseline projections and scenarios 20-80 years ahead. In order to represent likely energy system transitions in the decades to come, modern CGE tools have learned from bottom-up studies. We distinguish between three different approaches to baseline quantification: (a) exploiting bottom-up model characteristics to endogenize responses of technology investment and utilization, (b) relying on external information sources to feed the exogenous parameters and variables of the model, and (c) linking the model with more technology-rich, partial models to obtain bottom-up- and pathway-consistent parameters.
Subjects: 
computable general equilibrium models
long-term economic projections
energy
technology change
emissions
greenhouse gases
JEL: 
C68
O13
O14
O18
Q43
Q54
Document Type: 
Working Paper
Appears in Collections:

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.