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Heterogeneity in the rebound effect: Further evidence for Germany

  • Frondel, Manuel
  • Ritter, Nolan
  • Vance, Colin

Rebound effects measure the behaviorally induced offset in the reduction of energy consumption following efficiency improvements. Using both panel estimation and quantile regression methods on household travel diary data collected in Germany between 1997 and 2009, this study investigates the heterogeneity of the rebound effect in private transport. With the average rebound effect being in the range of 57% to 62%, our results are in line with a recent German study by Frondel, Peters, and Vance (2008), but are substantially larger than those obtained from other studies. Furthermore, our quantile regression results indicate that the magnitude of estimated fuel price elasticities – from which rebound effects can be derived – depends inversely on the household's driving intensity: households with low vehicle mileage exhibit fuel price elasticities, and hence rebound effects, that are significantly larger than those for households with high vehicle mileage.

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Article provided by Elsevier in its journal Energy Economics.

Volume (Year): 34 (2012)
Issue (Month): 2 ()
Pages: 461-467

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Handle: RePEc:eee:eneeco:v:34:y:2012:i:2:p:461-467
Contact details of provider: Web page: http://www.elsevier.com/locate/eneco

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  1. Frondel, Manuel & Vance, Colin, 2010. "Driving for fun? Comparing the effect of fuel prices on weekday and weekend fuel consumption," Energy Economics, Elsevier, vol. 32(1), pages 102-109, January.
  2. Zia Wadud & Daniel J. Graham & Robert B. Noland, 2010. "Gasoline Demand with Heterogeneity in Household Responses," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 47-74.
  3. Sorrell, Steve & Dimitropoulos, John & Sommerville, Matt, 2009. "Empirical estimates of the direct rebound effect: A review," Energy Policy, Elsevier, vol. 37(4), pages 1356-1371, April.
  4. Manuel Frondel & Colin Vance, 2010. "Fixed, Random, or Something in Between? – A Variant of HAUSMAN’s Specifi cation Test for Panel Data Estimators," Ruhr Economic Papers 0160, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  5. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
  6. Daniel J. Graham & Stephen Glaister, 2002. "The Demand for Automobile Fuel: A Survey of Elasticities," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 36(1), pages 1-25, January.
  7. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
  8. Robert W. Crandall, 1992. "Policy Watch: Corporate Average Fuel Economy Standards," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 171-180, Spring.
  9. Binswanger, Mathias, 2001. "Technological progress and sustainable development: what about the rebound effect?," Ecological Economics, Elsevier, vol. 36(1), pages 119-132, January.
  10. Manuel Frondel & Jörg Peters & Colin Vance, 2007. "Identifying the Rebound - Evidence from a German Household Panel," Ruhr Economic Papers 0032, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  11. Frondel, Manuel & Schmidt, Christoph M. & Vance, Colin, 2011. "A regression on climate policy: The European Commission’s legislation to reduce CO2 emissions from automobiles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(10), pages 1043-1051.
  12. Brookes, Leonard, 2000. "Energy efficiency fallacies revisited," Energy Policy, Elsevier, vol. 28(6-7), pages 355-366, June.
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  15. Berkhout, Peter H. G. & Muskens, Jos C. & W. Velthuijsen, Jan, 2000. "Defining the rebound effect," Energy Policy, Elsevier, vol. 28(6-7), pages 425-432, June.
  16. repec:cup:cbooks:9780521608275 is not listed on IDEAS
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  18. Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.
  19. Sterner, Thomas, 2007. "Fuel taxes: An important instrument for climate policy," Energy Policy, Elsevier, vol. 35(6), pages 3194-3202, June.
  20. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
  21. Kayser, Hilke A., 2000. "Gasoline demand and car choice: estimating gasoline demand using household information," Energy Economics, Elsevier, vol. 22(3), pages 331-348, June.
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