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Economy-wide Estimates of Rebound Effects: Evidence from Panel Data

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  • Morakinyo O. Adetutu
  • Anthony J. Glass
  • Thomas G. Weyman-Jones

Abstract

Energy consumption and greenhouse emissions across many countries have increased over time despite widespread energy efficiency improvements. One explanation offered in the literature is the rebound effect (RE), however there is a debate about its magnitude and the appropriate model for estimating it. Using a combined stochastic frontier analysis (SFA) and two-stage dynamic panel data approach, we explore these two issues of magnitude and model for 55 countries over the period 1980 to 2010. Our central estimates indicate that in the short-run, 100% energy efficiency improvement is followed by 90% rebound in energy consumption, but in the long-run it leads to a 136% decrease in energy consumption. Overall, our estimated cross-country RE magnitudes indicate the need to consider or account for RE when energy forecasts and policy measures are derived from potential energy efficiency savings.

Suggested Citation

  • Morakinyo O. Adetutu & Anthony J. Glass & Thomas G. Weyman-Jones, 2016. "Economy-wide Estimates of Rebound Effects: Evidence from Panel Data," The Energy Journal, , vol. 37(3), pages 251-270, July.
  • Handle: RePEc:sae:enejou:v:37:y:2016:i:3:p:251-270
    DOI: 10.5547/01956574.37.3.made
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    1. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    2. Filippini, Massimo & Hunt, Lester C., 2012. "US residential energy demand and energy efficiency: A stochastic demand frontier approach," Energy Economics, Elsevier, vol. 34(5), pages 1484-1491.
    3. Adeyemi, Olutomi I. & Hunt, Lester C., 2014. "Accounting for asymmetric price responses and underlying energy demand trends in OECD industrial energy demand," Energy Economics, Elsevier, vol. 45(C), pages 435-444.
    4. Massimo Filippini & Lester C. Hunt, 2011. "Energy Demand and Energy Efficiency in the OECD Countries: A Stochastic Demand Frontier Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 59-80.
    5. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    6. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LLC, vol. 9(1), pages 86-136, March.
    7. Andy S. Kydes, 1999. "Energy Intensity and Carbon Emission Responses to Technological Change: The U.S. Outlook," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 93-121.
    8. World Bank, 2013. "World Development Indicators 2013," World Bank Publications - Books, The World Bank Group, number 13191.
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