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Le coût du bonus/malus écologique. Que pouvait-on prédire ?

Author

Listed:
  • Xavier d’Haultfœuille
  • Isis Durrmeyer
  • Philippe Février

Abstract

Ex post evaluations are crucial to measure the empirical effects of public policies. At the same time, one can wonder how much of these effects could be anticipated ex ante. We address this question for the bonus/malus policy introduced in France to reduce co 2 emissions. This policy was, in particular, supposed to be financially neutral. At the end of the day, the co 2 emissions have been reduced by 5% at a cost of 225 M?. Using a structural approach, we show that this cost was not predictable ex ante. The underlying reason is that consumers appear to react more to this policy than to standard changes in prices. Classification JEL : D12, H23, L62, Q58, C51

Suggested Citation

  • Xavier d’Haultfœuille & Isis Durrmeyer & Philippe Février, 2011. "Le coût du bonus/malus écologique. Que pouvait-on prédire ?," Revue économique, Presses de Sciences-Po, vol. 62(3), pages 491-499.
    • Handle: RePEc:cai:recosp:reco_623_0491
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    Citations

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    Cited by:

    1. Gössling, Stefan & Cohen, Scott, 2014. "Why sustainable transport policies will fail: EU climate policy in the light of transport taboos," Journal of Transport Geography, Elsevier, vol. 39(C), pages 197-207.
    2. J.-M. Daussin-Benichou & A. Mauroux, 2014. "Turning the heat up. How sensitive are households to fiscal incentives on energy efficiency investments?," Documents de Travail de l'Insee - INSEE Working Papers g2014-06, Institut National de la Statistique et des Etudes Economiques.
    3. Charles Raux & Amandine Chevalier & Emmanuel Bougna & Denis Hilton, 2015. "Mobility Choices and Climate Change: Assessing the Effects of Social Norms and Economic Incentives through Discrete Choice Experiments," Post-Print halshs-01158088, HAL.
    4. Bezin, Emeline & Ponthière, Gregory, 2019. "The tragedy of the commons and socialization: Theory and policy," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    5. Hilton, Denis & Charalambides, Laetitia & Demarque, Christophe & Waroquier, Laurent & Raux, Charles, 2014. "A tax can nudge: The impact of an environmentally motivated bonus/malus fiscal system on transport preferences," Journal of Economic Psychology, Elsevier, vol. 42(C), pages 17-27.
    6. Gössling, Stefan & Metzler, Daniel, 2017. "Germany's climate policy: Facing an automobile dilemma," Energy Policy, Elsevier, vol. 105(C), pages 418-428.
    7. Raux, Charles & Chevalier, Amandine & Bougna, Emmanuel & Hilton, Denis, 2021. "Mobility choices and climate change: Assessing the effects of social norms, emissions information and economic incentives," Research in Transportation Economics, Elsevier, vol. 90(C).
    8. Gössling, Stefan, 2013. "Urban transport transitions: Copenhagen, City of Cyclists," Journal of Transport Geography, Elsevier, vol. 33(C), pages 196-206.
    9. D’Haultfœuille, Xavier & Durrmeyer, Isis & Février, Philippe, 2016. "Disentangling sources of vehicle emissions reduction in France: 2003–2008," International Journal of Industrial Organization, Elsevier, vol. 47(C), pages 186-229.

    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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