Optimal Management of Environmental Externalities with Time Lags and Uncertainty
Many environmental externalities occur with time lags that can range from a few days to several centuries in length, and many of these externalities are also subject to uncertainty. In this paper, we examine the key features of an optimal policy to manage environmental externalities that are both la...
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Published in | Environmental & resource economics Vol. 68; no. 3; pp. 473 - 499 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Dordrecht
Springer Netherlands
01.11.2017
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Abstract | Many environmental externalities occur with time lags that can range from a few days to several centuries in length, and many of these externalities are also subject to uncertainty. In this paper, we examine the key features of an optimal policy to manage environmental externalities that are both lagged and stochastic. We develop a two-period, two-polluter model and obtain closed-form solutions for optimal emissions levels under different combinations of damage functions and stochastic processes. These solutions show that it is not obvious whether greater control should be exerted on polluters that generate externalities with longer lags or on polluters that generate externalities with shorter lags. We find that the optimal ranking of polluters with respect to the length of the time lag associated with their externality will depend on (a) the discount rate, (b) conditional expectations of future states of the polluted resource, (c) persistence of the pollutant, and (d) initial conditions. |
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AbstractList | Many environmental externalities occur with time lags that can range from a few days to several centuries in length, and many of these externalities are also subject to uncertainty. In this paper, we examine the key features of an optimal policy to manage environmental externalities that are both lagged and stochastic. We develop a two-period, two-polluter model and obtain closed-form solutions for optimal emissions levels under different combinations of damage functions and stochastic processes. These solutions show that it is not obvious whether greater control should be exerted on polluters that generate externalities with longer lags or on polluters that generate externalities with shorter lags. We find that the optimal ranking of polluters with respect to the length of the time lag associated with their externality will depend on (a) the discount rate, (b) conditional expectations of future states of the polluted resource, (c) persistence of the pollutant, and (d) initial conditions. |
Author | Kuwayama, Yusuke Brozović, Nicholas |
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CitedBy_id | crossref_primary_10_1007_s10640_024_00857_y crossref_primary_10_3390_su10040994 crossref_primary_10_1007_s10640_022_00685_y crossref_primary_10_1016_j_jenvman_2024_122499 crossref_primary_10_1108_CAER_11_2017_0220 crossref_primary_10_1016_j_ememar_2022_100944 |
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SubjectTerms | discount rate Economic models Economic Policy Economics Economics and Finance emissions Environmental Economics Environmental Law/Policy/Ecojustice Environmental Management Environmental policy Externality Initial conditions issues and policy pollutants Pollution control Ratings & rankings Resource management Stochastic models Stochastic processes Time lag Uncertainty |
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