This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Policy Implications of Stochastic Learning Using a Modified PAGE2002 Model

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Alberth, S.
Hope, C.
Abstract

We consider the importance of Endogenous Technical Change (ETC) on the risk profiles for different abatement strategies using the PAGE2002 model with ETC. Three outcomes from this modelling research have significant impacts on the way we ‘optimise’ the greenhouse gas abatement path. Firstly, it was found that for most standard abatement paths there would be an initial "learning investment" required that would substantially reduce the unit costs of CO2 abatement as compared to a business as usual scenario. Secondly, optimising an abatement program where ETC has been included can lead to an increased risk profile during the time of widespread CO2 abatements due to the costs associated with learning. Finally, the inclusion of ETC leads to a slightly deferred optimised abatement path followed by a drastic abatement program that itself would seem highly impractical. Together, the results draw attention to the possibilities of uncovering uncertainty through proactive abatements.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.electricitypolicy.org.uk/pubs/wp/eprg0614.pdf
Our checks indicate that this address may not be valid because: 404 Not Found. If this is indeed the case, please notify (Howard Cobb)
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Faculty of Economics, University of Cambridge in its series Cambridge Working Papers in Economics with number 0633.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 27
Date of creation: Apr 2006
Date of revision:
Handle: RePEc:cam:camdae:0633

Note: IO
Contact details of provider:
Web page: http://www.econ.cam.ac.uk/index.htm

For technical questions regarding this item, or to correct its listing, contact: (Howard Cobb).

Related research
Keywords: Endogenous Technical Change; Optimal Abatement; Climate Change;

Find related papers by JEL classification:
O13 - Economic Development, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounting

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Junginger, M. & Faaij, A. & Turkenburg, W. C., 2005. "Global experience curves for wind farms," Energy Policy, Elsevier, vol. 33(2), pages 133-150, January. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? You may want to explore EconPapers, which displays the same data as IDEAS in a different way.

This page was last updated on 2009-11-16.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.