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Are there rebound effects from electric vehicle adoption? Evidence from German household data

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  • Huwe, Vera
  • Gessner, Johannes

Abstract

Widespread electric vehicle adoption is considered a major policy goal in order to decarbonize the transport sector. However, potential rebound effects both in terms of vehicle ownership and distance traveled might nullify the environmental edge of electric vehicles. Using cross-sectional household-level microdata from Germany, we identify rebound effects of electric vehicle adoption on both margins for specific subgroups of electric vehicle owners. As our data is cross-sectional, we resort to data-driven methods which are not yet commonly used in the economic literature. For the identification of changes in the number of cars owned after electric vehicle adoption, we predict counterfactual car ownership using a supervised learning approach. Furthermore, we investigate the effect of electric vehicle adoption on household mileage based on a genetic matching of households owning electric vehicles to similar owners of conventional cars. For the selection of covariates for matching, we contrast ad hoc variable selection based on the available literature with a data-driven variable selection method (double LASSO). We cannot verify asignificant increase in the number of cars owned for households with one electric and one conventional vehicle. For the subgroup of households who substitute the electric car for a conventional vehicle, electric vehicle ownership is associated with a significant reduction in annual mileage of -23% of the sample mean. The result indicates a strive for behavior consistent with the environmentally-friendly car choice rather than a rebound effect. Our results are subgroup-specific and may not generalize to the overall population. Methodologically, we find that data-driven variable selection identifies a refined set of covariates and changes the magnitude of the estimation results substantially. It may thus be considered a useful complement, especially in settings with limited theoretical or empirical knowledge established.

Suggested Citation

  • Huwe, Vera & Gessner, Johannes, 2020. "Are there rebound effects from electric vehicle adoption? Evidence from German household data," ZEW Discussion Papers 20-048, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:20048
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    as
    1. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    2. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    3. Lukas Meier & Sara Van De Geer & Peter Bühlmann, 2008. "The group lasso for logistic regression," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(1), pages 53-71, February.
    4. Lucas W. Davis & James M. Sallee, 2020. "Should Electric Vehicle Drivers Pay a Mileage Tax?," Environmental and Energy Policy and the Economy, University of Chicago Press, vol. 1(1), pages 65-94.
    5. Habla, Wolfgang & Huwe, Vera & Kesternich, Martin, 2020. "Beyond monetary barriers to electric vehicle adoption: Evidence from observed usage of private and shared cars," ZEW Discussion Papers 20-026, ZEW - Leibniz Centre for European Economic Research.
    6. N/A, 2011. "The UK economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 218(1), pages 3-3, October.
    7. Stephen P. Holland & Erin T. Mansur & Nicholas Z. Muller & Andrew J. Yates, 2016. "Are There Environmental Benefits from Driving Electric Vehicles? The Importance of Local Factors," American Economic Review, American Economic Association, vol. 106(12), pages 3700-3729, December.
    8. Kahn, Matthew E., 2007. "Do greens drive Hummers or hybrids? Environmental ideology as a determinant of consumer choice," Journal of Environmental Economics and Management, Elsevier, vol. 54(2), pages 129-145, September.
    9. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 608-650.
    10. N/A, 2011. "The UK economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 216(1), pages 3-3, April.
    11. Meyer, Andrew, 2015. "Does education increase pro-environmental behavior? Evidence from Europe," Ecological Economics, Elsevier, vol. 116(C), pages 108-121.
    12. Alexis Diamond & Jasjeet S. Sekhon, 2013. "Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 932-945, July.
    13. Jianwei Xing & Benjamin Leard & Shanjun Li, 2019. "What Does an Electric Vehicle Replace?," NBER Working Papers 25771, National Bureau of Economic Research, Inc.
    14. Büchs, Milena & Schnepf, Sylke V., 2013. "Who emits most? Associations between socio-economic factors and UK households' home energy, transport, indirect and total CO2 emissions," Ecological Economics, Elsevier, vol. 90(C), pages 114-123.
    15. Lucas W. Davis, 2019. "Evidence of a homeowner-renter gap for electric vehicles," Applied Economics Letters, Taylor & Francis Journals, vol. 26(11), pages 927-932, June.
    16. Vassileva, Iana & Campillo, Javier, 2017. "Adoption barriers for electric vehicles: Experiences from early adopters in Sweden," Energy, Elsevier, vol. 120(C), pages 632-641.
    17. Lévay, Petra Zsuzsa & Drossinos, Yannis & Thiel, Christian, 2017. "The effect of fiscal incentives on market penetration of electric vehicles: A pairwise comparison of total cost of ownership," Energy Policy, Elsevier, vol. 105(C), pages 524-533.
    18. Heslop, Louise A & Moran, Lori & Cousineau, Amy, 1981. ""Consciousness" in Energy Conservation Behavior: An Exploratory Study," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(3), pages 299-305, December.
    19. Ho, Daniel & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2011. "MatchIt: Nonparametric Preprocessing for Parametric Causal Inference," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i08).
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    More about this item

    Keywords

    Rebound Effect; Electric Vehicle Adoption; Variable Selection;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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