Congestion pricing, air pollution, and individual-level behavioral responses

Arbeitspapier

This paper shows that differentiating driving costs by time of day and vehicle type help improve urban air quality, lower driving, and induce adoption of electric vehicles. By taking advantage of a congestion charge that imposed spatial and temporal variation in the cost of driving a conventional vehicle, we find that economic incentives lower traffic and concentrations of NO2. Exploiting a novel dataset on car ownership, we find that households exposed to congestion charging on their way to work were more likely to adopt an electric vehicle. Heterogeneity analyses show strong socioeconomic gradients in the transition towards low-emission cars.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Memorandum ; No. 01/2021

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models ; Taxation and Subsidies: Externalities; Redistributive Effects; Environmental Taxes and Subsidies ; Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling ; Environmental Economics: Technological Innovation ; Environmental Economics: Government Policy ; Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise ; Transportation Economics: Government Pricing and Policy
• Thema: air pollution ; electric vehicles ; transportation policies ; congestion charging

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Isaksen, Elisabeth T. ; Johansen, Bjørn G.
• Ereignis: Veröffentlichung
• (wer): University of Oslo, Department of Economics
• (wo): Oslo
• (wann): 2021

Weitere Informationen

• Handle: http://hdl.handle.net/10419/250303
• Letzte Aktualisierung: 10.03.2025, 11:42 MEZ