Bioeconomic evaluation of fisheries enforcement effort using a muoltifleet simulation model
The economics of enforcement is traditionally modelled using rational agents assumed to act according to their expected economic utility. In this investigation we derive this expectation by implementing a stochastic simulation model to integrate across associated levels of uncertainty using Monte Ca...
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Online Access: | https://doi.org/10.1016/j.fishres.2010.11.007 http://ecite.utas.edu.au/77148 |
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ftunivtasecite:oai:ecite.utas.edu.au:77148 2023-05-15T14:02:30+02:00 Bioeconomic evaluation of fisheries enforcement effort using a muoltifleet simulation model Edwards, CTT Hillary, R Hoshino, E Pearce, J Agnew, DJ 2011 application/pdf https://doi.org/10.1016/j.fishres.2010.11.007 http://ecite.utas.edu.au/77148 en eng Elsevier Science Bv http://ecite.utas.edu.au/77148/1/FisheriesRes_EHoshino.pdf http://dx.doi.org/10.1016/j.fishres.2010.11.007 Edwards, CTT and Hillary, R and Hoshino, E and Pearce, J and Agnew, DJ, Bioeconomic evaluation of fisheries enforcement effort using a muoltifleet simulation model, Fisheries Research: An International Journal on Fishing Technology, Fisheries Science and Fisheries Management, 107, (1-3) pp. 253-260. ISSN 0165-7836 (2011) [Refereed Article] http://ecite.utas.edu.au/77148 Economics Applied Economics Environment and Resource Economics Refereed Article PeerReviewed 2011 ftunivtasecite https://doi.org/10.1016/j.fishres.2010.11.007 2019-12-13T21:43:22Z The economics of enforcement is traditionally modelled using rational agents assumed to act according to their expected economic utility. In this investigation we derive this expectation by implementing a stochastic simulation model to integrate across associated levels of uncertainty using Monte Carlo. The model is developed for the South Georgia toothfish longline fishery, in which legal catches are strictly managed according to the Commission for the Conservation of Antarctic Marine Living Resources(CCAMLR) conservation measures. Assuming full compliance in the legal fishery, this investigation deals with the role of a fishing patrol vessel (FPV) in excluding illegal fishing vessels. Both legal and illegal fleets are dynamic. For the legal fleet, catch is set by a harvest control rule within the model framework,with vessels leaving if fishing becomes unprofitable. The illegal catch is determined by the number of vessels operating, which predicts catch on the basis of an estimated production function. The exit of illegal vessels is determined by the probability of detection by the FPV, which is a function of days spent on patrol, and estimated profits. The entry of illegal vessels occurs at a fixed mean rate, with the model integrating over uncertainty in this parameter. An obvious trade off exists in that higher levels of illegalactivity lead to lower expected returns to the legal fleet. We thus provide a cost-benefit framework for investigating the trade-offs associated with decisions on enforcement in the fishery, and confirm that current enforcement effort levels are well justified. Article in Journal/Newspaper Antarc* Antarctic eCite UTAS (University of Tasmania) Antarctic Fisheries Research 107 1-3 253 260 |
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Open Polar |
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eCite UTAS (University of Tasmania) |
op_collection_id |
ftunivtasecite |
language |
English |
topic |
Economics Applied Economics Environment and Resource Economics |
spellingShingle |
Economics Applied Economics Environment and Resource Economics Edwards, CTT Hillary, R Hoshino, E Pearce, J Agnew, DJ Bioeconomic evaluation of fisheries enforcement effort using a muoltifleet simulation model |
topic_facet |
Economics Applied Economics Environment and Resource Economics |
description |
The economics of enforcement is traditionally modelled using rational agents assumed to act according to their expected economic utility. In this investigation we derive this expectation by implementing a stochastic simulation model to integrate across associated levels of uncertainty using Monte Carlo. The model is developed for the South Georgia toothfish longline fishery, in which legal catches are strictly managed according to the Commission for the Conservation of Antarctic Marine Living Resources(CCAMLR) conservation measures. Assuming full compliance in the legal fishery, this investigation deals with the role of a fishing patrol vessel (FPV) in excluding illegal fishing vessels. Both legal and illegal fleets are dynamic. For the legal fleet, catch is set by a harvest control rule within the model framework,with vessels leaving if fishing becomes unprofitable. The illegal catch is determined by the number of vessels operating, which predicts catch on the basis of an estimated production function. The exit of illegal vessels is determined by the probability of detection by the FPV, which is a function of days spent on patrol, and estimated profits. The entry of illegal vessels occurs at a fixed mean rate, with the model integrating over uncertainty in this parameter. An obvious trade off exists in that higher levels of illegalactivity lead to lower expected returns to the legal fleet. We thus provide a cost-benefit framework for investigating the trade-offs associated with decisions on enforcement in the fishery, and confirm that current enforcement effort levels are well justified. |
format |
Article in Journal/Newspaper |
author |
Edwards, CTT Hillary, R Hoshino, E Pearce, J Agnew, DJ |
author_facet |
Edwards, CTT Hillary, R Hoshino, E Pearce, J Agnew, DJ |
author_sort |
Edwards, CTT |
title |
Bioeconomic evaluation of fisheries enforcement effort using a muoltifleet simulation model |
title_short |
Bioeconomic evaluation of fisheries enforcement effort using a muoltifleet simulation model |
title_full |
Bioeconomic evaluation of fisheries enforcement effort using a muoltifleet simulation model |
title_fullStr |
Bioeconomic evaluation of fisheries enforcement effort using a muoltifleet simulation model |
title_full_unstemmed |
Bioeconomic evaluation of fisheries enforcement effort using a muoltifleet simulation model |
title_sort |
bioeconomic evaluation of fisheries enforcement effort using a muoltifleet simulation model |
publisher |
Elsevier Science Bv |
publishDate |
2011 |
url |
https://doi.org/10.1016/j.fishres.2010.11.007 http://ecite.utas.edu.au/77148 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
http://ecite.utas.edu.au/77148/1/FisheriesRes_EHoshino.pdf http://dx.doi.org/10.1016/j.fishres.2010.11.007 Edwards, CTT and Hillary, R and Hoshino, E and Pearce, J and Agnew, DJ, Bioeconomic evaluation of fisheries enforcement effort using a muoltifleet simulation model, Fisheries Research: An International Journal on Fishing Technology, Fisheries Science and Fisheries Management, 107, (1-3) pp. 253-260. ISSN 0165-7836 (2011) [Refereed Article] http://ecite.utas.edu.au/77148 |
op_doi |
https://doi.org/10.1016/j.fishres.2010.11.007 |
container_title |
Fisheries Research |
container_volume |
107 |
container_issue |
1-3 |
container_start_page |
253 |
op_container_end_page |
260 |
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1766272792869732352 |