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Induced motor vehicle travel from improved fuel efficiency and road expansion

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  • Su, Qing

Abstract

This paper investigates the impact of improved fuel efficiency and road network expansion on motor vehicle travel using a system dynamic panel data estimator and panel data at the state level for the 2001–2008 period. Our model accounts for endogenous changes in fuel efficiency, congestion, fuel cost per mile, and vehicle stock. Our regression results suggest that the short run rebound effect is 0.0276 while the long run rebound effect is 0.11. The short run effect of road capacity per capita is 0.066 while the long run effect is 0.26.

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  • Su, Qing, 2011. "Induced motor vehicle travel from improved fuel efficiency and road expansion," Energy Policy, Elsevier, vol. 39(11), pages 7257-7264.
    • Handle: RePEc:eee:enepol:v:39:y:2011:i:11:p:7257-7264
    DOI: 10.1016/j.enpol.2011.08.047
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    Cited by:

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    3. Zolnik, Edmund J., 2018. "Effects of additional capacity on vehicle kilometers of travel in the U.S.: Evidence from National Household Travel Surveys," Journal of Transport Geography, Elsevier, vol. 66(C), pages 1-9.
    4. Moshiri, Saeed & Aliyev, Kamil, 2017. "Rebound effect of efficiency improvement in passenger cars on gasoline consumption in Canada," Ecological Economics, Elsevier, vol. 131(C), pages 330-341.
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    6. Carlena Cochi Ficano & Patrick Thompson, 2014. "Estimating Rebound Effects in Personal Automotive Transport: Gas Price and the Presence of Hybrids," The American Economist, Sage Publications, vol. 59(2), pages 167-175, November.
    7. Stapleton, Lee & Sorrell, Steve & Schwanen, Tim, 2016. "Estimating direct rebound effects for personal automotive travel in Great Britain," Energy Economics, Elsevier, vol. 54(C), pages 313-325.
    8. Moshiri, Saeed, 2020. "Consumer responses to gasoline price and non-price policies," Energy Policy, Elsevier, vol. 137(C).
    9. Qing Su, 2017. "Travel Demand Management Policy Instruments, Urban Spatial Characteristics, and Household Greenhouse Gas Emissions from Travel in the US Urban Areas," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 157-166.
    10. Dimitropoulos, Alexandros & Oueslati, Walid & Sintek, Christina, 2018. "The rebound effect in road transport: A meta-analysis of empirical studies," Energy Economics, Elsevier, vol. 75(C), pages 163-179.
    11. Le Vine, Scott & Chen, Bingqing (Emily) & Polak, John, 2014. "Does the income elasticity of road traffic depend on the source of income?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 15-29.
    12. Joseph DeSalvo & Qing Su, 2013. "An Empirical Analysis of Determinants of Multi-Dimensional Urban Sprawl," Working Papers 1813, University of South Florida, Department of Economics.
    13. Concas, Sisinnio, 2012. "Highway capital expenditures and induced vehicle travel," MPRA Paper 40757, University Library of Munich, Germany, revised 12 Aug 2012.
    14. O'Rear, Eric G. & Sarica, Kemal & Tyner, Wallace E., 2015. "Analysis of impacts of alternative policies aimed at increasing US energy independence and reducing GHG emissions," Transport Policy, Elsevier, vol. 37(C), pages 121-133.
    15. Lee, Shin, 2018. "Transport policies, induced traffic and their influence on vehicle emissions in developed and developing countries," Energy Policy, Elsevier, vol. 121(C), pages 264-274.
    16. Yu, Haowei & Zhou, You, 2021. "Highway Spending and Induced Vehicle Emissions: Evidence from the US states," Resource and Energy Economics, Elsevier, vol. 65(C).
    17. Jihye Byun & Sungjin Park & Kitae Jang, 2017. "Rebound Effect or Induced Demand? Analyzing the Compound Dual Effects on VMT in the U.S," Sustainability, MDPI, vol. 9(2), pages 1-10, February.
    18. Juan Gomez & José Manuel Vassallo & Israel Herraiz, 2016. "Explaining light vehicle demand evolution in interurban toll roads: a dynamic panel data analysis in Spain," Transportation, Springer, vol. 43(4), pages 677-703, July.

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