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Shifting Gears? The Impact of Austria's Transport Policy Mix on CO2 Emissions from Passenger Cars

Author

Listed:
  • Tobias Eibinger

    (University of Graz, Austria)

  • Hans Manner

    (University of Graz, Austria)

  • Karl Steininger

    (University of Graz, Austria)

Abstract

Passenger transport plays a crucial role in achieving carbon-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 carbon-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 a novel environmental policy stringency index tailored to 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 policies and remaining variables. We find that policies targeting the investment decision to buy new cars reduced emissions in Austria more significantly than policies targeting the usage of cars. The engine-related insurance tax quantitatively shows the strongest impact on emissions, while the standard fuel consumption tax shows the strongest statistical significance.

Suggested Citation

  • Tobias Eibinger & Hans Manner & Karl Steininger, 2024. "Shifting Gears? The Impact of Austria's Transport Policy Mix on CO2 Emissions from Passenger Cars," Graz Economics Papers 2024-10, University of Graz, Department of Economics.
    • Handle: RePEc:grz:wpaper:2024-10
    as

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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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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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