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Approaches and methods used in analyzing compliance with fishery regulations
Author(s) -
Abusin Sanaa
Publication year - 2015
Publication title -
african journal of agricultural research
Language(s) - English
Resource type - Journals
ISSN - 1991-637X
DOI - 10.5897/ajar2014.9289
Subject(s) - deterrence theory , compliance (psychology) , deterrence (psychology) , fisheries management , fishing , legitimacy , economics , overtime , empirical research , business , public economics , risk analysis (engineering) , fishery , politics , political science , psychology , social psychology , law and economics , labour economics , law , biology , philosophy , epistemology
This paper reviews existing literature on analytical framework and methodological approaches to study noncompliance with fishery regulations. The causes of the problem of illegal fishing and noncompliance with fishery regulations are analysed and reasons behind the failure of current management regimes to promote sustainable management and exploitation of fishery are investigated. Several deterrence models have been developed to study this problem in static and dynamic decision frameworks. The shortcomings of static model versus dynamic are specified and the static model found to be limited. Dynamic model on the other hand, consider allocation of resources overtime and hence account for the effect of discount future benefits and the repeated nature of the crime and detection. Extensions of both models are also discussed in details. Results from theoretical models are tested empirically using survey data. Different econometric models have been specified to conduct empirical deterrence analysis on determinants and extent of the decision to violate. Intensity of violation and frequency of violation as measures of violation rate are compared. Non-compliance determinants variables include socio-economic attributes, deterrence, and social and legitimacy factors. Empirical studies estimate both violation rate and extent of violation. Deep understanding of how fishers behave and their reaction to regulations is very crucial to tackle the problem and help policy makers to formulate policies accordingly.

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