Increased Energy Efficiency and the Rebound Effect: Effects on consumption and emissions
By R. Brännlund, Tarek Ghalwash, Jonas Nordström. 2004
398 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/29a4bd2bfae360ef58b37f5c97881c4767651e7f
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In Economics and Econometrics
In Renewable Energy, Sustainability and the Environment
- Inês Lima Azevedo
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Citations in the corpus
- Energy saving and energy efficiency concepts for policy making (2009, background): “The economic literature refers to this reaction as the direct rebound effect, a similar concept of substitution effect in microeconomics (Ruzzenenti and Basosi, 2008; Binswanger, 2001; Greening et al., 2000; Haas and Biermayr, 2000; Milne and Boardman, 2000; Bentzen, 2004; Hertwich, 2003, Herring, 2”
- A new approach to measuring the rebound effect associated to energy efficiency improvements: An application to the US residential energy demand (2015, background): “Some examples can be found in Lenzen and Dey (2002) with an indirect rebound effect of 123% for Australia, Alfredsson (2004) with an indirect rebound effect up to 300% in Sweden or Brännlund et al. (2007) with an indirect rebound effect between 107-115% in CO2 emissions in a simulation of an efficie”
- Estimating direct and indirect rebound effects for U.S. households with input–output analysis Part 1: Theoretical framework (2013, result): “However, most prior studies applying the AIDS model to simulate direct and indirect rebound effects (Brannlund et al., 2007; Mizobuchi, 2008; Wang et al., 2012) also suffer from three weaknesses.”
- Financial development and environmental performance: evidence from China* (2010, result): “This reverse effect is named as the rebound effect by some previous studies (Sanstad et al., 2006; Brännlund et al., 2007).”
- Methods to empirically estimate direct and indirect rebound effect of energy-saving technological changes in households (2011, methodology): “An Almost Ideal Demand System (AID) (Deaton and Muellbauer, 1980) can be used to obtain the new final demand (Brännlund et al., 2007), but these models need a lot data on consumption, prices, income and other variables not always available.”
- Understanding the Jevons paradox (2016, background): “In Sweden, Brännlund, Ghalwash, and Nordström (2007) found that at the household level increases in energy efficiency increase carbon emissions.”