Rebound 2007: Analysis of U.S. light-duty vehicle travel statistics

Greene, David L.

doi:10.1016/j.enpol.2010.03.083

Cited by 114 publications

(84 citation statements)

References 21 publications

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“…12 Despite applying to GB, our mean estimate for this variable is close to recent estimates from the US (Greene, 2012;Hymel et al, 2010;Small and Van Dender, 2005).…”

Section: Coefficient Estimatessupporting

confidence: 69%

“…However, most of the estimates for personal automotive transport are broadly in line with the above findings (Greene, 2012;Hymel and Small, 2015;Hymel et al, 2010;Su, 2012Su, , 2015. Notable exceptions include Frondel et al (2007Frondel et al ( , 2012 who find much larger rebound effects for car travel in Germany and Linn (2013) who finds the same for the US.…”

Section: Introductionsupporting

confidence: 74%

“…Compared to the majority of energy services, the direct rebound effect for personal automotive transport is relatively wellstudied since data on vehicle travel and fuel consumption are routinely collected by national and regional authorities. However, the evidence to date is overwhelmingly dominated by studies from the US (Greene, 2012;Hymel et al, 2010;Sorrell, 2007). Since road fuel prices, vehicle efficiencies and population densities are comparatively low in the US, while car ownership and usage are comparatively high, US results may not provide a reliable guideline for other countries.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, Small and van Dender based their conclusions on their estimates of η p S (S) -which suggested a long-run direct rebound effect of~22%. More recently, Greene (2012) investigated the direct rebound effect for US transport over a similar time period, but using national time series data instead. Similar to Small and van Dender, Greene failed to obtain a statistically significant estimate of η ε (S).…”

Section: Introductionmentioning

confidence: 99%

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Estimating Direct Rebound Effects for Personal Automotive Travel in Great Britain

2015

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JEL classification: Q41 R41 R48 Keywords:Rebound effect Asymmetry Fuel prices Robustness Fuel efficiency Peak car Direct rebound effects result from increased consumption of cheaper energy services. For example, more fuel-efficient cars encourage more car travel. This study is the first to quantify this effect for personal automotive travel in Great Britain. We use aggregate time series data on transport activity, fuel consumption and other relevant variables over the period 1970-2011 and estimate the direct rebound effect from the elasticity of both vehicle and passenger kilometres with respect to: a) vehicle fuel efficiency (km/MJ); b) the fuel cost of driving (£/km); and c) road fuel prices (£/MJ). We estimate a total of 108 models, paying careful attention to methodological issues and model diagnostics. Taking changes in fuel efficiency as the explanatory variable, we find little evidence of a long-run direct rebound effect in Great Britain over this period. However, taking changes in either the fuel cost of driving or fuel prices as the explanatory variable we estimate a direct rebound effect in the range 9% to 36% with a mean of~19%. This estimate is consistent with the results of US studies and suggests that around one fifth of the potential fuel savings from improved car fuel efficiency may have been eroded through increased driving. We also show how the normalisation of distance travelled (per capita, per adult or per driver) affects the results obtained.

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“…12 Despite applying to GB, our mean estimate for this variable is close to recent estimates from the US (Greene, 2012;Hymel et al, 2010;Small and Van Dender, 2005).…”

Section: Coefficient Estimatessupporting

confidence: 69%

Section: Introductionsupporting

confidence: 74%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Estimating Direct Rebound Effects for Personal Automotive Travel in Great Britain

2015

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“…In this way, −λ P and − λ P 1−λ vkm are the size of short-term and long-term direct air pollution rebound effect for road passenger transport in China [34].…”

Section: The Elasticity Modelmentioning

confidence: 99%

Are Chinese Green Transport Policies Effective? A New Perspective from Direct Pollution Rebound Effect, and Empirical Evidence From the Road Transport Sector

Qiu

2017

Sustainability

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Air pollution has become a serious challenge in China. Emissions from motor vehicles have been found to be one main sources of air pollution. Although the Chinese government has undertaken numerous green policies to mitigate harmful emissions from road transport sector, it is still uncertain for both policy makers and researchers to know whether the policies are effective in the short and long terms. We propose a new concept of "pollution rebound effect" (PRE) to estimate the effectiveness of green traffic policies. We estimate direct air PRE as a measure of the effectiveness of the policies of reducing air pollution from the transport sector based on time-series data from the period 1986-2014. We find that the short-term direct air PRE is −0.4105, and the corresponding long-run PRE is −0.246. The negative results indicate that the direct air PRE does not exist in the road passenger transport sector in China, both in the short term and in the long term during the period 1986-2014. This implies that the Chinese green transport policies are effective in terms of harmful emissions reduction in the transport sector. This research, to the best of our knowledge, is the first attempt to quantify the effectiveness of the green transport policies in the transitional period that China is currently undergoing.

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Life Cycle Assessment of Greenhouse Gas Emissions

Reijnders

2012

Handbook of Climate Change Mitigation

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Rebound 2007: Analysis of U.S. light-duty vehicle travel statistics

Cited by 114 publications

References 21 publications

Estimating Direct Rebound Effects for Personal Automotive Travel in Great Britain

Estimating Direct Rebound Effects for Personal Automotive Travel in Great Britain

Are Chinese Green Transport Policies Effective? A New Perspective from Direct Pollution Rebound Effect, and Empirical Evidence From the Road Transport Sector

Life Cycle Assessment of Greenhouse Gas Emissions

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