IDEAS home Printed from https://ideas.repec.org/p/ags/rffdps/10625.html
   My bibliography  Save this paper

Carbon Mitigation Costs for the Commercial Sector: Discrete-Continuous Choice Analysis of Multifuel Energy Demand

Author

Listed:
  • Newell, Richard G.
  • Pizer, William A.

Abstract

We 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 1995 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.

Suggested Citation

  • Newell, Richard G. & Pizer, William A., 2005. "Carbon Mitigation Costs for the Commercial Sector: Discrete-Continuous Choice Analysis of Multifuel Energy Demand," Discussion Papers 10625, Resources for the Future.
    • Handle: RePEc:ags:rffdps:10625
    DOI: 10.22004/ag.econ.10625
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/10625/files/dp050013.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.10625?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Michael Parti & Cynthia Parti, 1980. "The Total and Appliance-Specific Conditional Demand for Electricity in the Household Sector," Bell Journal of Economics, The RAND Corporation, vol. 11(1), pages 309-321, Spring.
    2. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    3. 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.
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    5. 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 and Oxford Review of Economic Policy Limited, vol. 7(2), pages 54-76, Summer.
    6. 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.
    7. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Raymond & Woo, Chi-Keung & Tishler, Asher & Zarnikau, Jay, 2022. "Price responsiveness of commercial demand for natural gas in the US," Energy, Elsevier, vol. 256(C).
    2. Su, Qing, 2011. "The effect of population density, road network density, and congestion on household gasoline consumption in U.S. urban areas," Energy Economics, Elsevier, vol. 33(3), pages 445-452, May.
    3. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Newell, Richard G. & Pizer, William A., 2008. "Carbon mitigation costs for the commercial building sector: Discrete-continuous choice analysis of multifuel energy demand," Resource and Energy Economics, Elsevier, vol. 30(4), pages 527-539, December.
    2. Anna Risch & Claire Salmon, 2017. "What matters in residential energy consumption: evidence from France," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 40(1/2), pages 79-116.
    3. Yueming Qiu, 2014. "Energy Efficiency and Rebound Effects: An Econometric Analysis of Energy Demand in the Commercial Building Sector," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(2), pages 295-335, October.
    4. 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.
    5. Michael Hanemann & Xavier Labandeira & José M. Labeaga, 2013. "Energy Demand for Heating: Short Run and Long Run," Working Papers 07-2013, Economics for Energy.
    6. Bente Halvorsen & Bodil M. Larsen, 1999. "Changes in the Pattern of Household Electricity Demand over Time," Discussion Papers 255, Statistics Norway, Research Department.
    7. Halvorsen, Bente & Larsen, Bodil M., 2001. "Norwegian residential electricity demand--a microeconomic assessment of the growth from 1976 to 1993," Energy Policy, Elsevier, vol. 29(3), pages 227-236, February.
    8. Halvorsen, Bente & Larsen, Bodil M., 2001. "The flexibility of household electricity demand over time," Resource and Energy Economics, Elsevier, vol. 23(1), pages 1-18, January.
    9. Runa Nesbakken, 1998. "Residential Energy Consumption for Space Heating in Norwegian Households A Discrete-Continuous Choice Approach," Discussion Papers 231, Statistics Norway, Research Department.
    10. Rehdanz, Katrin, 2007. "Determinants of residential space heating expenditures in Germany," Energy Economics, Elsevier, vol. 29(2), pages 167-182, March.
    11. Fan Zhang, 2015. "Energy Price Reform and Household Welfare: The Case of Turkey," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    12. Belaïd, Fateh & Garcia, Thomas, 2016. "Understanding the spectrum of residential energy-saving behaviours: French evidence using disaggregated data," Energy Economics, Elsevier, vol. 57(C), pages 204-214.
    13. Leth-Petersen, Soren & Togeby, Mikael, 2001. "Demand for space heating in apartment blocks: measuring effects of policy measures aiming at reducing energy consumption," Energy Economics, Elsevier, vol. 23(4), pages 387-403, July.
    14. Runa Nesbakken, 1998. "Price Sensitivity of Residential Energy Consumption in Norway," Discussion Papers 232, Statistics Norway, Research Department.
    15. Nesbakken, Runa, 1999. "Price sensitivity of residential energy consumption in Norway," Energy Economics, Elsevier, vol. 21(6), pages 493-515, December.
    16. Hache, Emmanuel & Leboullenger, Déborah & Mignon, Valérie, 2017. "Beyond average energy consumption in the French residential housing market: A household classification approach," Energy Policy, Elsevier, vol. 107(C), pages 82-95.
    17. Dorothée Charlier & Sondès Kahouli, 2018. "Fuel poverty and residential energy demand: how fuel-poor households react to energy price fluctuations," Post-Print halshs-01957771, HAL.
    18. Dorothée Charlier & Sondès Kahouli, 2019. "From Residential Energy Demand to Fuel Poverty: Income-induced Non-linearities in the Reactions of Households to Energy Price Fluctuations," The Energy Journal, , vol. 40(2), pages 101-138, March.
    19. Damette, Olivier & Delacote, Philippe & Lo, Gaye Del, 2018. "Households energy consumption and transition toward cleaner energy sources," Energy Policy, Elsevier, vol. 113(C), pages 751-764.
    20. Salomé Bakaloglou and Dorothée Charlier, 2019. "Energy Consumption in the French Residential Sector: How Much do Individual Preferences Matter?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).

    More about this item

    Keywords

    Resource /Energy Economics and Policy;

    JEL classification:

    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:rffdps:10625. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/rffffus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.