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Carbon Prices and Automobile Greenhouse Gas Emissions: The Extensive and Intensive Margins

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  • Christopher R. Knittel
  • Ryan Sandler

Abstract

The transportation sector accounts for nearly one third of the United States' greenhouse gas emissions. While over the past number of decades, policy makers have avoided directly pricing the externalities from vehicles, both in terms of global and more local pollutants and Corporate Average Fuel Standards have changed little since the mid-1980s, there is now considerable interest in reducing greenhouse gas emissions form the transportation sector. Many have argued that the unique features of the sector imply that pricing mechanisms would have little affect on emissions. This paper analyzes how pricing carbon through either a cap and trade system or carbon tax might affect greenhouse gas emissions from the transportation sector by estimating how changes in gasoline prices alter consumer behavior. We analyze their effect on both the intensive (e.g., vehicle miles travelled) and extensive (e.g., vehicle scrapping) margins. We find large effects on both margins.

Suggested Citation

  • Christopher R. Knittel & Ryan Sandler, 2010. "Carbon Prices and Automobile Greenhouse Gas Emissions: The Extensive and Intensive Margins," NBER Working Papers 16482, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:16482
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    Cited by:

    1. Koichiro Ito & James M. Sallee, 2018. "The Economics of Attribute-Based Regulation: Theory and Evidence from Fuel Economy Standards," The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 319-336, May.
    2. Boehm, Michael J., 2013. "Concentration versus re-matching? Evidence about the locational effects of commuting costs," LSE Research Online Documents on Economics 51542, London School of Economics and Political Science, LSE Library.
    3. Michael J. Boehm, 2013. "Concentration Versus Re-Matching? Evidence About the Locational Effects of Commuting Costs," CEP Discussion Papers dp1207, Centre for Economic Performance, LSE.
    4. Anderson, Soren T. & Kellogg, Ryan & Sallee, James M., 2013. "What do consumers believe about future gasoline prices?," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 383-403.
    5. Daniel A. Brent, 2016. "Estimating Water Demand Elasticity at the Intensive and Extensive Margin," Departmental Working Papers 2016-06, Department of Economics, Louisiana State University.
    6. Christopher R. Knittel, 2012. "Reducing Petroleum Consumption from Transportation," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 93-118, Winter.
    7. Kent M. Hymel & Kenneth Small, 2014. "The Rebound Effect for Automobile Travel:Asymmetric Response to Price Changes and Novel Features of the 2000s," Working Papers 141503, University of California-Irvine, Department of Economics.
    8. Sallee, James M. & West, Sarah E. & Fan, Wei, 2016. "Do consumers recognize the value of fuel economy? Evidence from used car prices and gasoline price fluctuations," Journal of Public Economics, Elsevier, vol. 135(C), pages 61-73.
    9. Morris, Adele C. & Neill, Helen R. & Coulson, N. Edward, 2020. "Housing supply elasticity, gasoline prices, and residential property values," Journal of Housing Economics, Elsevier, vol. 48(C).
    10. Hymel, Kent M. & Small, Kenneth A., 2015. "The rebound effect for automobile travel: Asymmetric response to price changes and novel features of the 2000s," Energy Economics, Elsevier, vol. 49(C), pages 93-103.
    11. Carlena Cochi Ficano & Patrick Thompson, 2014. "Estimating Rebound Effects in Personal Automotive Transport: Gas Price and the Presence of Hybrids," The American Economist, Sage Publications, vol. 59(2), pages 167-175, November.
    12. Cozad, Melanie & LaRiviere, Jacob, 2013. "Fuel price increases and the timing of changes in household driving decisions," Journal of Environmental Economics and Management, Elsevier, vol. 65(2), pages 194-207.
    13. Dimitropoulos, Alexandros & Oueslati, Walid & Sintek, Christina, 2018. "The rebound effect in road transport: A meta-analysis of empirical studies," Energy Economics, Elsevier, vol. 75(C), pages 163-179.

    More about this item

    JEL classification:

    • L0 - Industrial Organization - - General
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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