A New Approach to Identifying the Drivers of Regulation Compliance Using Multivariate Behavioural Models
Publication Date
October 11, 2016
Journal
PLOS ONE
Authors
Alyssa S. Thomas, Taciano L. Milfont & Michael C. Gavin
Volume
11
Issue
10
Pages
e0163868
DOI
https://dx.plos.org/10.1371/journal.pone.0163868
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0163868
Scopus
84991493123
Mendeley
http://www.mendeley.com/research/new-approach-identifying-drivers-regulation-compliance-using-multivariate-behavioural-models
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Mendeley | Further Information

{"title"=>"New approach to identifying the drivers of regulation compliance using multivariate behavioural models", "type"=>"journal", "authors"=>[{"first_name"=>"Alyssa S.", "last_name"=>"Thomas", "scopus_author_id"=>"56413566400"}, {"first_name"=>"Taciano L.", "last_name"=>"Milfont", "scopus_author_id"=>"8156566400"}, {"first_name"=>"Michael C.", "last_name"=>"Gavin", "scopus_author_id"=>"15047812600"}], "year"=>2016, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"27727292", "doi"=>"10.1371/journal.pone.0163868", "sgr"=>"84991493123", "isbn"=>"1932-6203", "scopus"=>"2-s2.0-84991493123", "issn"=>"19326203", "pui"=>"612656040"}, "id"=>"26190d19-2496-3c9f-9cde-37bc61832acc", "abstract"=>"Non-compliance with fishing regulations can undermine management effectiveness. Previous bivariate approaches were unable to untangle the complex mix of factors that may influence fishers' compliance decisions, including enforcement, moral norms, perceived legitimacy of regulations and the behaviour of others. We compared seven multivariate behavioural models of fisher compliance decisions using structural equation modeling. An online survey of over 300 recreational fishers tested the ability of each model to best predict their compliance with two fishing regulations (daily and size limits). The best fitting model for both regulations was composed solely of psycho-social factors, with social norms having the greatest influence on fishers' compliance behaviour. Fishers' attitude also directly affected compliance with size limit, but to a lesser extent. On the basis of these findings, we suggest behavioural interventions to target social norms instead of increasing enforcement for the focal regulations in the recreational blue cod fishery in the Marlborough Sounds, New Zealand. These interventions could include articles in local newspapers and fishing magazines highlighting the extent of regulation compliance as well as using respected local fishers to emphasize the benefits of compliance through public meetings or letters to the editor. Our methodological approach can be broadly applied by natural resource managers as an effective tool to identify drivers of compliance that can then guide the design of interventions to decrease illegal resource use.;  Non-compliance with fishing regulations can undermine management effectiveness. Previous bivariate approaches were unable to untangle the complex mix of factors that may influence fishers' compliance decisions, including enforcement, moral norms, perceived legitimacy of regulations and the behaviour of others. We compared seven multivariate behavioural models of fisher compliance decisions using structural equation modeling. An online survey of over 300 recreational fishers tested the ability of each model to best predict their compliance with two fishing regulations (daily and size limits). The best fitting model for both regulations was composed solely of psycho-social factors, with social norms having the greatest influence on fishers' compliance behaviour. Fishers' attitude also directly affected compliance with size limit, but to a lesser extent. On the basis of these findings, we suggest behavioural interventions to target social norms instead of increasing enforcement for the focal regulations in the recreational blue cod fishery in the Marlborough Sounds, New Zealand. These interventions could include articles in local newspapers and fishing magazines highlighting the extent of regulation compliance as well as using respected local fishers to emphasize the benefits of compliance through public meetings or letters to the editor. Our methodological approach can be broadly applied by natural resource managers as an effective tool to identify drivers of compliance that can then guide the design of interventions to decrease illegal resource use.;Non-compliance with fishing regulations can undermine management effectiveness. Previous bivariate approaches were unable to untangle the complex mix of factors that may influence fishers' compliance decisions, including enforcement, moral norms, perceived legitimacy of regulations and the behaviour of others. We compared seven multivariate behavioural models of fisher compliance decisions using structural equation modeling. An online survey of over 300 recreational fishers tested the ability of each model to best predict their compliance with two fishing regulations (daily and size limits). The best fitting model for both regulations was composed solely of psycho-social factors, with social norms having the greatest influence on fishers' compliance behaviour. Fishers' attitude also directly affected compliance with size limit, but to a lesser extent. On the basis of these findings, we suggest behavioural interventions to target social norms instead of increasing enforcement for the focal regulations in the recreational blue cod fishery in the Marlborough Sounds, New Zealand. These interventions could include articles in local newspapers and fishing magazines highlighting the extent of regulation compliance as well as using respected local fishers to emphasize the benefits of compliance through public meetings or letters to the editor. Our methodological approach can be broadly applied by natural resource managers as an effective tool to identify drivers of compliance that can then guide the design of interventions to decrease illegal resource use.;", "link"=>"http://www.mendeley.com/research/new-approach-identifying-drivers-regulation-compliance-using-multivariate-behavioural-models", "reader_count"=>24, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. 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Student"=>5, "Student > Postgraduate"=>2, "Student > Master"=>6, "Other"=>1, "Student > Bachelor"=>2, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Environmental Science"=>10, "Agricultural and Biological Sciences"=>2, "Medicine and Dentistry"=>2, "Arts and Humanities"=>1, "Business, Management and Accounting"=>1, "Psychology"=>2, "Social Sciences"=>1, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Social Sciences"=>{"Social Sciences"=>1}, "Psychology"=>{"Psychology"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Computer Science"=>{"Computer Science"=>1}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Unspecified"=>{"Unspecified"=>4}, "Environmental Science"=>{"Environmental Science"=>10}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "group_count"=>1}

Scopus | Further Information

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