Including bottom-up emission abatement technologies in a large-scale global economic model for policy assessments
Matthias Weitzel (),
Bert Saveyn and
Energy Economics, 2019, vol. 83, issue C, 254-263
Economic models with global and economy-wide coverage can be useful tools to assess the impact of energy and environmental policies, but often disregard finer technological details of emission abatement measures. We present a framework for integrating and preserving detailed bottom-up information for end-of-pipe abatement technologies into a large-scale numerical model. Using an activity analysis approach, we capture non-linearities that typically characterise bottom-up abatement cost curves derived from discrete technology options. The model framework is flexible and can accommodate greenhouse gas and air pollution abatement, as well as modelling carbon capture and storage (CCS). Here, we illustrate this approach for non-CO2 greenhouse gases in a large-scale Computable General Equilibrium (CGE) model and compare results with a fitted marginal abatement curve and with completely excluding non-CO2 greenhouse gases. Results show that excluding non-CO2 abatement options leads to an overestimation of the total abatement cost. When the detailed bottom-up technology implementation is replaced by a fitted smooth marginal abatement cost curve, significant over- or underestimations of abatement levels and costs can emerge for particular pollutant-sector-region combinations.
Keywords: Marginal abatement costs; Climate policy; CGE model; End-of-pipe abatement; Hybrid modelling; Non-CO2 greenhouse gases (search for similar items in EconPapers)
JEL-codes: C68 Q52 Q54 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:83:y:2019:i:c:p:254-263
Access Statistics for this article
Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant
More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Haili He ().