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Has heavy vehicle tolling in Europe been effective in reducing road freight transport and promoting modal shift?

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  • Juan Gomez

    (Universidad Politécnica de Madrid)

  • José Manuel Vassallo

    (Universidad Politécnica de Madrid)

Abstract

During the last few decades, the European Union has promoted distance-based charges on heavy goods vehicles for the use of main roads as a means of funding the infrastructure and internalizing external costs. This approach has progressively been implemented by many European nations. From a macro perspective, this paper explores the impact of heavy vehicle tolling on road freight demand in the countries where it has been implemented. To that end, we develop a dynamic panel data methodology to analyze the evolution over time of road freight traffic and modal share for the European countries having implemented a nationwide per-km truck tolling policy. The results show that, with the exception of very specific cases, there is not strong evidence that heavy vehicle tolling had either influenced road freight volume or promoted the shift of freight to alternative modes. In addition, the limited effect of this charging policy has been partly or mostly counteracted by the evolution of other explanatory factors such as economic growth and the expansion of high capacity networks.

Suggested Citation

  • Juan Gomez & José Manuel Vassallo, 2020. "Has heavy vehicle tolling in Europe been effective in reducing road freight transport and promoting modal shift?," Transportation, Springer, vol. 47(2), pages 865-892, April.
    • Handle: RePEc:kap:transp:v:47:y:2020:i:2:d:10.1007_s11116-018-9922-3
    DOI: 10.1007/s11116-018-9922-3
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    1. Böckerman, Petri & Hämäläinen, Ulla & Uusitalo, Roope, 2009. "Labour market effects of the polytechnic education reform: The Finnish experience," Economics of Education Review, Elsevier, vol. 28(6), pages 672-681, December.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Joseph Chow & Choon Yang & Amelia Regan, 2010. "State-of-the art of freight forecast modeling: lessons learned and the road ahead," Transportation, Springer, vol. 37(6), pages 1011-1030, November.
    4. Rey, Belén & Myro, Rafael L. & Galera, Asun, 2011. "Effect of low-cost airlines on tourism in Spain. A dynamic panel data model," Journal of Air Transport Management, Elsevier, vol. 17(3), pages 163-167.
    5. Yves Crozet, 2016. "Rail freight development in Europe: how to deal with a doubly-imperfect competition?," Post-Print halshs-01394330, HAL.
    6. 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.
    7. Richard Blundell & Stephen Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies.
    8. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    9. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    10. Graham, Daniel J. & Crotte, Amado & Anderson, Richard J., 2009. "A dynamic panel analysis of urban metro demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(5), pages 787-794, September.
    11. Paolo Agnolucci & David Bonilla, 2009. "UK Freight Demand: Elasticities and Decoupling," Journal of Transport Economics and Policy, University of Bath, vol. 43(3), pages 317-344, September.
    12. Alises, Ana & Vassallo, José Manuel, 2015. "Comparison of road freight transport trends in Europe. Coupling and decoupling factors from an Input–Output structural decomposition analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 141-157.
    13. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    14. Doll, Claus & Schaffer, Axel, 2007. "Economic impact of the introduction of the German HGV toll system," Transport Policy, Elsevier, vol. 14(1), pages 49-58, January.
    15. Gerard Jong & Inge Vierth & Lori Tavasszy & Moshe Ben-Akiva, 2013. "Recent developments in national and international freight transport models within Europe," Transportation, Springer, vol. 40(2), pages 347-371, February.
    16. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
    17. 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.
    18. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    19. Gomez, Juan & Vassallo, José Manuel, 2015. "Evolution over time of heavy vehicle volume in toll roads: A dynamic panel data to identify key explanatory variables in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 282-297.
    20. Nash, Chris, 2003. "Marginal cost and other pricing principles for user charging in transport: a comment," Transport Policy, Elsevier, vol. 10(4), pages 345-348, October.
    21. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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