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The effect on CO2 emissions of taxing truck distance in retail transports

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  • Carling, Kenneth
  • Håkansson, Johan
  • Meng, Xiangli
  • Rudholm, Niklas

Abstract

To finance transportation infrastructure and to address social and environmental negative externalities of road transports, several countries have recently introduced or consider a distance based tax on trucks. In competitive retail and transportation markets, such tax can be expected to lower the demand and thereby reduce CO2 emissions of road transports. However, as we show in this paper, such tax might also slow down the transition towards e-tailing. Considering that previous research indicates that a consumer switching from brick-and-mortar shopping to e-tailing reduces her CO2 emissions substantially, the direction and magnitude of the environmental net effect of the tax is unclear. In this paper, we assess the net effect in a Swedish regional retail market where the tax not yet is in place. We predict the net effect on CO2 emissions to be positive, but off-set by about 50% because of a slower transition to e-tailing.

Suggested Citation

  • Carling, Kenneth & Håkansson, Johan & Meng, Xiangli & Rudholm, Niklas, 2017. "The effect on CO2 emissions of taxing truck distance in retail transports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 47-54.
  • Handle: RePEc:eee:transa:v:97:y:2017:i:c:p:47-54
    DOI: 10.1016/j.tra.2017.01.010
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    References listed on IDEAS

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    7. Kenneth Carling & Mengjie Han & Johan Håkansson & Pascal Rebreyend, 2015. "Distance measure and the $$p$$ p -median problem in rural areas," Annals of Operations Research, Springer, vol. 226(1), pages 89-99, March.
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    Cited by:

    1. Tommi Inkinen & Esa Hämäläinen, 2020. "Reviewing Truck Logistics: Solutions for Achieving Low Emission Road Freight Transport," Sustainability, MDPI, vol. 12(17), pages 1-11, August.
    2. Siskos, Pelopidas & Moysoglou, Yannis, 2019. "Assessing the impacts of setting CO2 emission targets on truck manufacturers: A model implementation and application for the EU," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 123-138.
    3. Mattos, Claudia A. & Scur, Gabriela & Albuquerque, Thiago L.M., 2022. "Evaluation of circular business model: Theory of Change approach," Evaluation and Program Planning, Elsevier, vol. 92(C).

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    More about this item

    Keywords

    Spatial distribution of e-tailing and consumers; CO2 emissions measurement; Online retailing; Environmental taxes; Carbon footprint; Road network;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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