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The Effectiveness of Policy Measures to Reduce CO2 Emissions from Passenger Cars in Austria

Author

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  • Tobias Eibinger

    (University of Graz, Austria)

  • Hans Manner

    (University of Graz, Austria)

Abstract

Passenger transport plays a crucial role in achieving climate-neutrality. While a switch to zero-emission vehicles is a crucial part in this process, policy makers likely have to resort to a differentiated mix of complementary policy measures to achieve global targets on climate-neutrality. To help policy makers design effective measures, we analyse the effect of environmental policies on CO2 emissions from passenger cars in Austria from 1965-2019. In a first step, we propose an environmental policy stringency index for the Austrian transport sector for the period 1950-2019. In a second step, we analyse the effect of different policies on transport-related CO2 emissions in a structural vector autoregressive model. This allows us to control for possible interdependencies between the variables. We find that taxes on vehicle-related emissions and policies that influence the usage of cars (through, e.g., speed limits, car-free days, road pricing) can significantly reduce CO2 emissions and contribute to an accelerated transition towards a carbon-neutral society. Among tax-based policies, we find emission-based taxes on new vehicles to be most effective. Finally, our results indicate that more efficient fuels can reduce emissions from existing vehicles at a limited magnitude.

Suggested Citation

  • Tobias Eibinger & Hans Manner, 2022. "The Effectiveness of Policy Measures to Reduce CO2 Emissions from Passenger Cars in Austria," Graz Economics Papers 2022-04, University of Graz, Department of Economics.
    • Handle: RePEc:grz:wpaper:2022-04
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Climate change; CO2 emissions; passenger transport; mitigation; policy stringency; vector autoregression.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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