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The effects of taxing truck distance on CO2 emissions from transports in retailing

Author

Listed:
  • Carling, Kenneth

    (Dalarna University)

  • Håkansson, Johan

    (Dalarna University)

  • Meng, Xiangli

    (Dalarna University)

  • Rudholm, Niklas

    (Dalarna University)

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 the competitive retail market 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, 2015. "The effects of taxing truck distance on CO2 emissions from transports in retailing," HUI Working Papers 111, HUI Research.
  • Handle: RePEc:hhs:huiwps:0111
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    References listed on IDEAS

    as
    1. Jia, Tao & Carling, Kenneth & Håkansson, Johan, 2013. "Trips and Their CO2-Emissions Induced by a Shopping Center," HUI Working Papers 88, HUI Research.
    2. Edward Calthrop & Bruno De Borger & Stef Proost, 2007. "Externalities And Partial Tax Reform: Does It Make Sense To Tax Road Freight (But Not Passenger) Transport?," Journal of Regional Science, Wiley Blackwell, vol. 47(4), pages 721-752, October.
    3. Stead, D., 1999. "Relationships between transport emissions and travel patterns in Britain," Transport Policy, Elsevier, vol. 6(4), pages 247-258, October.
    4. Jenn, Alan & Azevedo, Inês Lima & Fischbeck, Paul, 2015. "How will we fund our roads? A case of decreasing revenue from electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 136-147.
    5. Thomas Aronsson & Mats Bergman & Niklas Rudholm, 2001. "The Impact of Generic Drug Competition on Brand Name Market Shares – Evidence from Micro Data," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 19(4), pages 423-433, December.
    6. Henrik Hammar & Tommy Lundgren & Magnus Sjostrom & Matts Andersson, 2011. "The kilometer tax and Swedish industry-effects on sectors and regions," Applied Economics, Taylor & Francis Journals, vol. 43(22), pages 2907-2917.
    7. Clements, Kenneth W., 2008. "Price elasticities of demand are minus one-half," Economics Letters, Elsevier, vol. 99(3), pages 490-493, June.
    8. Carling, Kenneth & Håkansson, Johan & Jia, Tao, 2013. "Out-of-Town Shopping and Its Induced CO2-Emissions," HUI Working Papers 87, HUI Research.
    Full references (including those not matched with items on IDEAS)

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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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