A model to evaluate vehicle emission incentive policies in Japan
Don Fullerton (),
Li Gan () and
Miwa Hattori
Environmental Economics and Policy Studies, 2015, vol. 17, issue 1, 79-108
Abstract:
Using 3 years of data from the 47 prefectures of Japan, we estimate the behavior of households that simultaneously make discrete decisions about vehicle ownership and continuous decisions about driving distance. We use the estimated parameters to calculate elasticities and to simulate the effects of alternative pollution control policies such as taxes on gasoline, distance, or particular cars. Given choices about cars and distance, we also calculate emissions. Since we model simultaneous choices, both the chosen distance and the chosen car can be affected either by a tax on distance or by a tax on car characteristics. We find expected signs for coefficients on price and income. Car choices are relatively inelastic, however, either to taxes on cars or to taxes on gas or distance. Thus, emissions are more affected by taxes on gasoline than by taxes on particular vehicles. Yet, taxes on cars have lower costs on consumers and thus lower marginal cost of abatement. Given that the existing gas tax already achieves some abatement, mostly through driving reduction, this analysis suggests that further abatement from the use of distance-reducing taxes is more costly than achieving some marginal abatement from induced changes in car choices. The option with the lowest cost is to tax each car at a rate proportional to its emission rate. Copyright Springer Japan 2015
Keywords: Discrete and continuous models; Environment; Pollution taxes; D12; H23; Q58 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (10)
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Working Paper: A Model to Evaluate Vehicle Emission Incentive Policies in Japan (2014) 
Working Paper: A Model to Evaluate Vehicle Emission Incentive Policies in Japan (2014) 
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Persistent link: https://EconPapers.repec.org/RePEc:spr:envpol:v:17:y:2015:i:1:p:79-108
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DOI: 10.1007/s10018-014-0089-7
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