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Behavioral response to environmental...

Cerruti, Davide.

Behavioral response to environmental taxation: Evidence from the transportation sector.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Behavioral response to environmental taxation: Evidence from the transportation sector.
Author:	Cerruti, Davide.
Published:	Ann Arbor : ProQuest Dissertations & Theses, 2016
Description:	174 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-02(E), Section: A.
Notes:	Advisers: Anna Alberini; Roberton Williams, III.
Contained By:	Dissertation Abstracts International78-02A(E).
Subject:	Environmental economics.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10161032
ISBN:	9781369159226

Behavioral response to environmental taxation: Evidence from the transportation sector.
Cerruti, Davide.

Behavioral response to environmental taxation: Evidence from the transportation sector. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 174 p.

Source: Dissertation Abstracts International, Volume: 78-02(E), Section: A.

Thesis (Ph.D.)--University of Maryland, College Park, 2016.

This dissertation analyzes how individuals respond to the introduction of taxation aimed to reduce vehicle pollution, greenhouse gases and traffic.

ISBN: 9781369159226Subjects--Topical Terms:

182848
Environmental economics.

Behavioral response to environmental taxation: Evidence from the transportation sector.
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245 1 0 $a Behavioral response to environmental taxation: Evidence from the transportation sector.
260 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 174 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-02(E), Section: A.
500 $a Advisers: Anna Alberini; Roberton Williams, III.
502 $a Thesis (Ph.D.)--University of Maryland, College Park, 2016.
520 $a This dissertation analyzes how individuals respond to the introduction of taxation aimed to reduce vehicle pollution, greenhouse gases and traffic.
520 $a The first chapter analyzes a vehicle registration tax based on emissions of carbon dioxide (CO2), a major greenhouse gas, adopted in the UK in 2001 and subject to major changes in the following years. I identify the impact of the policy on new vehicle registrations and carbon emissions, compared to alternative measures. Results show that consumers respond to the tax by purchasing cleaner cars, but a carbon tax generating the same revenue would further reduce carbon emissions.
520 $a The second chapter looks at a pollution charge (polluting vehicles pay to enter the city) and a congestion charge (all vehicles pay) adopted in 2008 and 2011 in Milan, Italy, and how they affected the concentration of nitrogen dioxides (NOx). I use data from pollution monitoring stations to measure the change between areas adopting the tax and other areas. Results show that in the first quarter of their introduction, both policies decreased NOx concentration in a range of -8% and -5%, but the effect declines over time, especially in the case of the pollution charge.
520 $a The third chapter examines a trial conducted in 2005 in the Seattle, WA, area, in which vehicle trips by 276 volunteer households were recorded with a GPS device installed in their vehicles. Households received a monetary endowment which they used to pay a toll for each mile traveled: the toll varied with the time of the day, the day of the week and the type of road used. Using information on driving behavior, I show that in the first week a $0 .10 toll per mile reduces the number of miles driven by around 7%, but the effect lasts only few weeks at most. The effect is mainly driven by a reduction in highway miles during trips from work to home, and it is strongly influenced by past driving behavior, income, the size of the initial endowment and the number of children in the household.
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650 4 $a European studies. $3 708549
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710 2 $a University of Maryland, College Park. $b Agricultural and Resource Economics. $3 766195
773 0 $t Dissertation Abstracts International $g 78-02A(E).
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856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10161032