2001
DOI: 10.1007/s001680100045
|View full text |Cite
|
Sign up to set email alerts
|

The insufficiency of Pigouvian taxes in a spatial general equilibrium model

Abstract: The paper considers, in a spatial general equilibrium setting, the pollution externality problem caused by a competitive industry. It is shown that the pollution control instrument supporting the optimum is a two-part Pigouvian tax±emission rights scheme in which the polluter pays only for the emissions which exceed its initial emission rights. The optimal level of the emission rights depends on the nature of pollution. In the global pollution case they are zero, whereas in the local pollution case they are eq… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
4
0

Year Published

2004
2004
2022
2022

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 8 publications
(4 citation statements)
references
References 8 publications
0
4
0
Order By: Relevance
“…Such a type of`urban economics location model' would provide a theoretical (and also empirical) framework in which the Coasian dimension of the problem shown in this study could be dealt with in a more rich and nuanced manner. In order to accomplish this task, two strands of literature should also be drawn on, which include the references surrounding the Coasian property rights in a land-market setting (Fischel, 1978;1985;Webster and Wu, 1999;2001) and those on the new economic geography concerned with self-organisation of agglomeration patterns (Donaghy 2004;Fujita and Krugman, 2004)…”
Section: Conclusion and Future Research Directionsmentioning
confidence: 99%
See 1 more Smart Citation
“…Such a type of`urban economics location model' would provide a theoretical (and also empirical) framework in which the Coasian dimension of the problem shown in this study could be dealt with in a more rich and nuanced manner. In order to accomplish this task, two strands of literature should also be drawn on, which include the references surrounding the Coasian property rights in a land-market setting (Fischel, 1978;1985;Webster and Wu, 1999;2001) and those on the new economic geography concerned with self-organisation of agglomeration patterns (Donaghy 2004;Fujita and Krugman, 2004)…”
Section: Conclusion and Future Research Directionsmentioning
confidence: 99%
“…As shown above, there exists a kind of shadow price for a unit of polluted air if the so-called`strict liability' payment to victims (Shavell, 1984) applies in the context of Coase theorem (5) and if this price is larger than zero. (6) This unit shadow price can (4) Uimonen (2001) suggests, on the basis of a spatial general equilibrium model, that``the optimal pollution control instrument has two parts [namely a Pigouvian tax and an emission rights scheme]. The assignment of an initial emission right [scheme] takes care of the problem of an inordinate number of [polluting] firms.…”
mentioning
confidence: 99%
“…This viewpoint has been challenged by a number of researchers such as Loury (1980, 1986). Recently, Uimonen (2001) has used a spatial general equilibrium model and pointed out that a single instrument such as a Pigouvian tax is not adequate to restore economic efficiency in a polluted environment. To see why this is the case, note that in a competitive setting with pollution, the same environment is both a common property resource for firms entering the industry and an external diseconomy for current victims.…”
Section: Adequacy Of Pigouvian Taxesmentioning
confidence: 99%
“…Over the past 30 years, a number of studies in the fields of urban/regional and environmental economics have also pursued this line of investigation 1 . Some theoretical contributions, such as Xepapadeas (1992) and Uimonen (2001), sought to develop sophisticated price instruments. Applied works, on the other hand, often built on novel technologies, such as Geographic Information Systems (GIS), which are now helping environmental economists to collect and use spatial data 2…”
Section: Introductionmentioning
confidence: 99%