Control activities and compliance behavior—Survey evidence from Norway

Florian Diekert*, Linda Nøstbakken, Andries Richter

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Successful fisheries management relies on compliance. Compliance in turn relies on the perceived legitimacy of the existing rules and regulations, the effectiveness of monitoring and enforcement, and on the positive feedback loop between legitimacy and effectiveness. Against the backdrop of increasing incentives to violate rules and regulations in modern fisheries, there are concerns that traditional control activities relying on physical inspections, are no longer effective in safeguarding sustainability. Modern control activities, which make use of new technologies, such as camera surveillance on vessels, remote monitoring (drones, planes, satellites) and real-time monitoring of catches with automated data recording, may offer a promising alternative to enforcement officers conducting physical inspections. This paper presents evidence from a large-scale survey among Norwegian fishers, investigating (i) attitudes towards traditional and modern control activities, and (ii) how expectations about and experiences of physical inspections affect compliance behavior. We also investigate the role of individual factors on compliance, such as risk aversion, which we measure with an economic experiment. While we cannot document an effect of risk aversion on compliance behavior, we find that having experienced more controls in the past and perceiving the likelihood of future control as higher, significantly reduce rule violations. We also find that survey respondents appreciate traditional enforcement measures, while they have mixed attitudes towards modern control activities.

Original languageEnglish
Article number104381
JournalMarine Policy
Volume125
DOIs
Publication statusPublished - Mar 2021

Keywords

  • Compliance
  • Fisher behavior
  • Fisheries
  • Monitoring and enforcement
  • Preferences
  • Survey

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