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CO2 Emission Reduction in Freight Transports How to Stimulate Environmental Friendly Behaviour?

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  • Bühler, Georg
  • Jochem, Patrick

Abstract

In the European Union (EU) and in Germany the transport sector is the only sector with increasing CO2 emissions (in the EU by about 32 % and in Germany by about 1 % since 1990). Especially in road freight and air transport a further strong increase is forecasted. In the transport sector this might be impeded by avoiding transport (accepting a lower economic growth), shifting modes or in optimizing logistics. Especially the second is mentioned to be an adequate solution to meet the increasing demand for transportation and reducing CO2 emissions simulatneously. It is often stated, that combined transport (mainly truck-train-truck) might be a very CO2 efficient mode. In this article a Logit-Model (based on a survey of 500 German forwarders) is used to determine mode shift potentials of hauliers. The main factors of influence depending on the service provision of the transport modes are frequency of combined transport services, speed, and costs. For an estimation of the corresponding impact on the mode shift and thus potentials of CO2 emission reductions two policy instruments are empirically tested: a further increase of the performance-based heavy vehicle fee (LSVA-Maut) and a hypothetical speeding up of the average speed in freight rail transport to 80 km per hour. Although the modal shift is rather high in the last policy simulation, the impact on CO2 emissions is still small.

Suggested Citation

  • Bühler, Georg & Jochem, Patrick, 2008. "CO2 Emission Reduction in Freight Transports How to Stimulate Environmental Friendly Behaviour?," ZEW Discussion Papers 08-066, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:7389
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    References listed on IDEAS

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    1. Walter Miklius & Peter V. Garrod & Kenneth L. Casavant, 1976. "Estimation of Demand for Transportation of Agricultural Commodities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(2), pages 217-223.
    2. Mandel, Benedikt & Gaudry, Marc & Rothengatter, Werner, 1994. "Linear or nonlinear utility functions in logit models? The impact on German high-speed rail demand forecasts," Transportation Research Part B: Methodological, Elsevier, vol. 28(2), pages 91-101, April.
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    Cited by:

    1. Plötz, Patrick & Gnann, Till & Jochem, Patrick & Yilmaz, Hasan Ümitcan & Kaschub, Thomas, 2019. "Impact of electric trucks powered by overhead lines on the European electricity system and CO2 emissions," Energy Policy, Elsevier, vol. 130(C), pages 32-40.

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    More about this item

    Keywords

    Freight Transports; CO2 Emissions; Mode Shift; Combined Transport;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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