Carbon mitigation costs for the commercial building sector: Discrete-continuous choice analysis of multifuel energy demand
AbstractWe estimate a carbon mitigation cost curve for the U.S. commercial sector based on econometric estimation of the responsiveness of fuel demand and equipment choices to energy price changes. The model econometrically estimates fuel demand conditional on fuel choice, which is characterized by a multinomial logit model. Separate estimation of end uses (e.g., heating, cooking) using the U.S. Commercial Buildings Energy Consumption Survey allows for exceptionally detailed estimation of price responsiveness disaggregated by end use and fuel type. We then construct aggregate long-run elasticities, by fuel type, through a series of simulations; own-price elasticities range from -0.9 for district heat services to -2.9 for fuel oil. The simulations form the basis of a marginal cost curve for carbon mitigation, which suggests that a price of $20 per ton of carbon would result in an 8% reduction in commercial carbon emissions, and a price of $100 per ton would result in a 28% reduction.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Resource and Energy Economics.
Volume (Year): 30 (2008)
Issue (Month): 4 (December)
Contact details of provider:
Web page: http://www.elsevier.com/locate/inca/505569
Commercial energy demand Carbon policy Climate change Discrete choice;
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.:
- Christopher Garbacz, 1984. "Residential Electricity Demand: A Suggested Appliance Stock Equation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 151-154.
- Bernard, J.T. & Bolduc, D. & Belanger, D., 1993.
"Quebec Residential Electricity Demand: A Microeconometric Approach,"
9334, Laval - Recherche en Energie.
- Jean-Thomas Bernard & Denis Bolduc & Donald Belanger, 1996. "Quebec Residential Electricity Demand: A Microeconometric Approach," Canadian Journal of Economics, Canadian Economics Association, vol. 29(1), pages 92-113, February.
- E. Raphael Branch, 1993. "Short Run Income Elasticity of Demand for Residential Electricity Using Consumer Expenditure Survey Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 111-122.
- Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-62, March.
- Baker, Paul & Blundell, Richard, 1991. "The Microeconometric Approach to Modelling Energy Demand: Some Results for UK Households," Oxford Review of Economic Policy, Oxford University Press, vol. 7(2), pages 54-76, Summer.
- Heckman, James, 2013.
"Sample selection bias as a specification error,"
Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
- Dahl, Carol A., 1993. "A survey of energy demand elasticities in support of the development of the NEMS," MPRA Paper 13962, University Library of Munich, Germany.
- Braun, Frauke G., 2010. "Determinants of households' space heating type: A discrete choice analysis for German households," Energy Policy, Elsevier, vol. 38(10), pages 5493-5503, October.
- Xavier Labandeira & José M. Labeaga & Xiral López-Otero, 2011. "Energy Demand for Heating in Spain: An Empirical Analysis with Policy Purposes," Working Papers 06-2011, Economics for Energy.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.