IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-11-00049.html
   My bibliography  Save this article

Evidence for an endogenous rebound effect impacting long-run car use elasticity to fuel price

Author

Listed:
  • Emmanuel Kemel

    (CES, Université Paris 1, Panthéon Sorbonne & CETE Ouest)

  • Roger Collet

    (IFSTTAR)

  • Laurent Hivert

    (IFSTTAR)

Abstract

This paper presents a structural equation model of household fleet fuel efficiency and car use. It allows to weigh the contribution of car equipment changes and car use adjustments to the price elasticity of household demand for fuel. This model is implemented using a panel dataset of 322 households that were present in each annual wave of the French Car Fleet survey from 1999 to 2007. The longitudinal dimension of this dataset enables to assess the short and long-run adjustments at the household level over a period of fuel price increase. The estimated price elasticities of the demand for fuel are fully consistent with the literature: -0.30 in the short run and -0.76 in the long run. Regarding car use elasticities, accounting for an endogenous rebound effect allowed a striking finding: the sensitivity of household car use to fuel price changes is lower on the long run than on the short run. This paper thus not only provides the latest estimations of elasticities for France, in the early 2000's, it also shows that, on the long run, French households have managed to mitigate the impact of increasing fuel prices on their car mobility by using more fuel efficient cars.

Suggested Citation

  • Emmanuel Kemel & Roger Collet & Laurent Hivert, 2011. "Evidence for an endogenous rebound effect impacting long-run car use elasticity to fuel price," Economics Bulletin, AccessEcon, vol. 31(4), pages 2777-2786.
    • Handle: RePEc:ebl:ecbull:eb-11-00049
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2011/Volume31/EB-11-V31-I4-P250.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    4. Erich Battistin & Raffaele Miniaci & Guglielmo Weber, 2003. "What Do We Learn from Recall Consumption Data?," Journal of Human Resources, University of Wisconsin Press, vol. 38(2).
    5. Daniel J. Graham & Stephen Glaister, 2002. "The Demand for Automobile Fuel: A Survey of Elasticities," Journal of Transport Economics and Policy, University of Bath, vol. 36(1), pages 1-25, January.
    6. David L. Greene & James R. Kahn & Robert C. Gibson, 1999. "Fuel Economy Rebound Effect for U.S. Household Vehicles," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-31.
    7. David L. Greene, 1992. "Vehicle Use and Fuel Economy: How Big is the "Rebound" Effect?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 117-144.
    8. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    9. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    10. 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.
    11. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    12. Cuenot, François, 2009. "CO2 emissions from new cars and vehicle weight in Europe; How the EU regulation could have been avoided and how to reach it?," Energy Policy, Elsevier, vol. 37(10), pages 3832-3842, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Richard Grimal, 2018. "Faut-Il Reduire L'Usage De La Voiture ? Couts Sociaux Et Benefices Environnementaux De Differents Scenarios Economiques Et Technologiques A L'Horizon 2060," Post-Print hal-02164869, HAL.
    3. Hivert, Laurent, 2013. "Short-term break in the French love for diesel?," Energy Policy, Elsevier, vol. 54(C), pages 11-22.
    4. Roger Collet & Laurent Hivert & Jean-Loup Madre, 2012. "Diffusion de l’automobile en France : vers quels plafonds pour la motorisation et l’usage ?," Économie et Statistique, Programme National Persée, vol. 457(1), pages 123-139.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.
    2. Pock, Markus, 2010. "Gasoline demand in Europe: New insights," Energy Economics, Elsevier, vol. 32(1), pages 54-62, January.
    3. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    4. Bai-Chen Xie & Jie Gao & Shuang Zhang & ZhongXiang Zhang, 2017. "What Factors Affect the Competiveness of Power Generation Sector in China? An Analysis Based on Game Cross-efficiency," Working Papers 2017.12, Fondazione Eni Enrico Mattei.
    5. Mohanty, Biswajit & Bhanumurthy, N. R. & Dastidar, Ananya Ghosh, 2017. "What explains Regional Imbalances in Infrastructure?: Evidence from Indian States," Working Papers 17/197, National Institute of Public Finance and Policy.
    6. Deodat E. Adenutsi & Meshach J. Aziakpono & Matthew K. Ocran, 2011. "The Changing Impact Of Macroeconomic Environment On Remittance Inflows In Sub-Saharan Africa," Journal of Academic Research in Economics, Spiru Haret University, Faculty of Accounting and Financial Management Constanta, vol. 3(2 (July)), pages 136-167.
    7. Jean-Pierre Allegret & Sana Azzabi, 2014. "Intégration financière internationale et croissance économique dans les pays émergents et en développement : le canal du développement financier," Revue d’économie du développement, De Boeck Université, vol. 22(3), pages 27-68.
    8. Scott, K. Rebecca, 2015. "Demand and price uncertainty: Rational habits in international gasoline demand," Energy, Elsevier, vol. 79(C), pages 40-49.
    9. Sylvester C. W. Eijffinger & Benedikt Goderis, 2008. "The Effect of Monetary Policy on Exchange Rates during Currency Crises: the Role of Debt, Institutions, and Financial Openness," Review of International Economics, Wiley Blackwell, vol. 16(3), pages 559-575, August.
    10. Biagi, Bianca & Brandono, Maria Giovanna & Detotto, Claudio, 2012. "The effect of tourism on crime in Italy: A dynamic panel approach," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-24.
    11. Harald Oberhofer & Marian Schwinner, 2017. "Do Individual Salaries Depend On the Performance of the Peers? Prototype Heuristic and Wage Bargaining in the NBA," WIFO Working Papers 534, WIFO.
    12. Vusal Musayev, 2016. "Externalities in Military Spending and Growth: The Role of Natural Resources as a Channel through Conflict," Defence and Peace Economics, Taylor & Francis Journals, vol. 27(3), pages 378-391, June.
    13. Melo, Patricia C. & Ramli, Ahmad Razi, 2014. "Estimating fuel demand elasticities to evaluate CO2 emissions: Panel data evidence for the Lisbon Metropolitan Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 30-46.
    14. Jaunky, Vishal Chandr, 2013. "A cointegration and causality analysis of copper consumption and economic growth in rich countries," Resources Policy, Elsevier, vol. 38(4), pages 628-639.
    15. Emmanuel Owusu-Sekyere & Reneé van Eyden & Francis M Kemegue, 2014. "Remittances and the Dutch Disease in Sub-Saharan Africa: A Dynamic Panel Approach," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 8(3), September.
    16. Gharehgozli, Orkideh, 2021. "An empirical comparison between a regression framework and the Synthetic Control Method," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 70-81.
    17. Deodat E. Adenutsi, 2014. "macroeconomic determinants of workers’ remittances and compensation of employees in sub-saharan Africa," Journal of Developing Areas, Tennessee State University, College of Business, vol. 48(1), pages 337-360, January-M.
    18. Robert A. Baade & Robert W. Baumann & Victor A. Matheson, 2008. "Assessing the Economic Impact of College Football Games on Local Economies," Journal of Sports Economics, , vol. 9(6), pages 628-643, December.
    19. Enrico Onali, 2014. "Moral Hazard, Dividends, and Risk in Banks," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 41(1-2), pages 128-155, January.
    20. Florian Flachenecker, 2015. "Sustainability, Resource Efficiency and Competitiveness. An Assessment of Resource Efficiency Policies in the European Union," Bruges European Economic Research Papers 32, European Economic Studies Department, College of Europe.

    More about this item

    Keywords

    Elasticity; Fuel Price; Rebound effect; Energy consumption; Energy efficiency; Car use; Household; Panel data;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-11-00049. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John P. Conley (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.