
handle: 11250/296887
AbstractThe existing fisheries economics literature analyzes compliance problems by treating the fishing firm as one cohesive unit, but in many cases violations are committed by agents acting on behalf of a firm. To account for this, we analyze the principal–agent relationship within the fishing firm. In the case where the firm directly benefits from illegal fishing, the firm must induce its crew to violate regulations through the incentive scheme. Within this framework, we analyze how the allocation of liability between fishing firms and crew affects quota violations and the ability to design a socially efficient fisheries policy. We show that without wage frictions, it does not matter who is held liable. However, under the commonly used share systems of remuneration, crew liability generally yields a more efficient outcome than firm liability. Furthermore, asset restrictions may affect the outcome under various liability rules.
Fisheries; enforcement; quota compliance; liability; principal-agent problem., quota compliance, fisheries, enforcement, principal-agent problem, liability, jel: jel:Q20
Fisheries; enforcement; quota compliance; liability; principal-agent problem., quota compliance, fisheries, enforcement, principal-agent problem, liability, jel: jel:Q20
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
