1987
DOI: 10.1016/0095-0696(87)90010-6
|View full text |Cite
|
Sign up to set email alerts
|

Firm behaviour under regulatory control of stochastic environmental wastes by probabilistic constraints

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
16
0

Year Published

1991
1991
2019
2019

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 34 publications
(16 citation statements)
references
References 10 publications
0
16
0
Order By: Relevance
“…So, use of a proxy should not spuriously cause affirmative results. 6 One potential weakness is that the dummy variable approach does not account for the number of violations. An alternative measure that does so, in principle, would be the ratio of fines to violations over the past year.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…So, use of a proxy should not spuriously cause affirmative results. 6 One potential weakness is that the dummy variable approach does not account for the number of violations. An alternative measure that does so, in principle, would be the ratio of fines to violations over the past year.…”
Section: Discussionmentioning
confidence: 99%
“…In a simple deterministic one-pollutant model of the firm, overcomplying plants would have no reason to react further to enforcement, since they face no threat of sanction. However, plants with stochastic discharges may face some possibility of a fine from accidental discharges over the legal standard [6,7,12]. Many factors such as equipment failures, human error, or poor maintenance may cause realized discharges to differ from target, or intended, discharges during any particular time.…”
Section: Mechanisms For Enforcement-induced Changes In Over-compliancementioning
confidence: 99%
See 1 more Smart Citation
“…With respect to uncertainty one has to mention Beavis and Walker (1983), which describes how uncertainty can be introduced into discharge models. Somewhat closer to our topic is Beavis and Dobbs (1987) although the focus on mean and percentile regulation is different from the consideration of deterministic entitlements (permits). Horan (2001) investigates how far first order stochastic dominance can or cannot be applied to establish cost efficiency of programs coming up with a negative answer.…”
mentioning
confidence: 98%
“…Beavis and Walker (1983b) include emission trading and a fine if the firm's estimated mean emissions exceed its permit holdings. Beavis and Dobbs (1987) further analyze percentile as well as mean probabilistic constraints. In the latter paper, as in the present paper and in Wirl and Noll (2005), the fine for exceeding the constraint is a fixed amount.…”
mentioning
confidence: 99%