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Heterogeneity in the rebound effect: Further evidence for Germany

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

Abstract

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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Bibliographic Info

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

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Web page: http://www.elsevier.com/locate/eneco

Related research

Keywords: Automobile travel; Panel models; Quantile regression;

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References

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  1. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
  2. 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.
  3. Binswanger, Mathias, 2001. "Technological progress and sustainable development: what about the rebound effect?," Ecological Economics, Elsevier, vol. 36(1), pages 119-132, January.
  4. 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.
  5. 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.
  6. Manuel Frondel & Jorg Peters & Colin Vance, 2008. "Identifying the Rebound: Evidence from a German Household Panel," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 145-164.
  7. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
  8. 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.
  9. 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.
  10. 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.
  11. Sterner, Thomas, 2007. "Fuel taxes: An important instrument for climate policy," Energy Policy, Elsevier, vol. 35(6), pages 3194-3202, June.
  12. 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.
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  14. Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.
  15. 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.
  16. Brookes, Leonard, 2000. "Energy efficiency fallacies revisited," Energy Policy, Elsevier, vol. 28(6-7), pages 355-366, June.
  17. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-94, September.
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Citations

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Cited by:
  1. Koesler, Simon, 2013. "Catching the rebound: Economy-wide implications of an efficiency shock in the provision of transport services by households," ZEW Discussion Papers 13-082, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  2. Thomas Klier & Joshua Linn, 2011. "Fuel Prices and New Vehicle Fuel Economy in Europe," Working Papers 1117, Massachusetts Institute of Technology, Center for Energy and Environmental Policy Research.
  3. Costolanski, Peter & Elahi, Raihan & Iimi, Atsushi & Kitchlu, Rahul, 2013. "Impact evaluation of free-of-charge CFL bulb distribution in Ethiopia," Policy Research Working Paper Series 6383, The World Bank.
  4. Schleich, Joachim & Mills, Bradford & Dütschke, Elisabeth, 2014. "A brighter future? Quantifying the rebound effect in energy efficient lighting," Working Papers "Sustainability and Innovation" S3/2014, Fraunhofer Institute for Systems and Innovation Research (ISI).
  5. Manuel Frondel & Colin Vance, 2013. "Fuel Taxes versus Efficiency Standards – An Instrumental Variable Approach," Ruhr Economic Papers 0445, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  6. Jens Boysen-Hogrefe, 2013. "Der Einfluss des Erdölpreises auf die Energiesteuerprognose," Kiel Working Papers 1849, Kiel Institute for the World Economy.
  7. Linn, Joshua, 2013. "The Rebound Effect for Passenger Vehicles," Discussion Papers dp-13-19, Resources For the Future.
  8. Klier, Thomas & Linn, Joshua, 2013. "Fuel prices and new vehicle fuel economy—Comparing the United States and Western Europe," Journal of Environmental Economics and Management, Elsevier, vol. 66(2), pages 280-300.
  9. Nolan Ritter & Christoph M. Schmidt & Colin Vance, 2013. "How Full Is the tank? – Insights on Short-run Fuel Price Reactions from German Travel Diary Data," Ruhr Economic Papers 0401, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  10. Richard Blundell & Joel Horowitz & Matthias Parey, 2013. "Nonparametric estimation of a heterogeneous demand function under the Slutsky inequality restriction," CeMMAP working papers CWP54/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  11. Nolan Ritter, 2012. "Beyond the Average Elasticity – Applying Quantile Panel Regression to German Household Mobility Data," Ruhr Economic Papers 0392, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.

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