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Mobility choices and climate change: Assessing the effects of social norms, emissions information and economic incentives

Author

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  • Charles Raux

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Amandine Chevalier

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Emmanuel Bougna

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Denis Hilton

    (UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse)

Abstract

The potential of psychological and fiscal framing interventions in motivating environmentally responsible behavior is explored in a context of long distance leisure travel. A series of discrete choice experiments is conducted with 789 participants. Framing conditions like information on CO2 emissions, an injunctive and a descriptive norm, fiscal incentives such as a carbon tax, a bonus-malus and a personal carbon trading scheme are tested while controlling the usual travel price-duration tradeoff. Pricing (including internalization of social cost of CO2 through fiscal incentives) has the expected effect of reducing the choice of travelling and hence CO2 emissions. Providing information on CO2 emissions of each transport alternative significantly reduces preferences for the most emitting modes (air) and favors a less emitting mode (train). Framing the fiscal incentive as personal carbon trading adds a moderate incentive to the price effect in reducing air choice.

Suggested Citation

  • Charles Raux & Amandine Chevalier & Emmanuel Bougna & Denis Hilton, 2020. "Mobility choices and climate change: Assessing the effects of social norms, emissions information and economic incentives," Post-Print halshs-03045959, HAL.
    • Handle: RePEc:hal:journl:halshs-03045959
    DOI: 10.1016/j.retrec.2020.101007
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-03045959
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    Cited by:

    1. Le Goff, Alix & Monchambert, Guillaume & Raux, Charles, 2022. "Are solo driving commuters ready to switch to carpool? Heterogeneity of preferences in Lyon's urban area," Transport Policy, Elsevier, vol. 115(C), pages 27-39.
    2. Nie, Qingyun & Zhang, Lihui & Li, Songrui, 2022. "How can personal carbon trading be applied in electric vehicle subsidies? A Stackelberg game method in private vehicles," Applied Energy, Elsevier, vol. 313(C).
    3. Jianguo Zhou & Dongfeng Chen, 2021. "Carbon Price Forecasting Based on Improved CEEMDAN and Extreme Learning Machine Optimized by Sparrow Search Algorithm," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    4. Wang, Haibing & Zheng, Tianhang & Sun, Weiqing & Khan, Muhammad Qasim, 2023. "Research on the pricing strategy of park electric vehicle agent considering carbon trading," Applied Energy, Elsevier, vol. 340(C).
    5. Charles Collet & Pascal Gastineau & Benoit Chèze & Pierre-Alexandre Mahieu & Frederic Martinez, 2022. "Combining economics and psychology: Does CO2 framing strengthen pro-environmental behaviors?," Working Papers hal-03321706, HAL.
    6. Nie, Qingyun & Zhang, Lihui & Tong, Zihao & Hubacek, Klaus, 2022. "Strategies for applying carbon trading to the new energy vehicle market in China: An improved evolutionary game analysis for the bus industry," Energy, Elsevier, vol. 259(C).

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    More about this item

    Keywords

    Transport; CO2 emissions; Discrete choice experiments; Psychological interventions; Bonus-malus; Personal carbon trading; Working Papers du LAET;
    All these keywords.

    JEL classification:

    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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