FISHRENT; Bio-economic simulation and optimisation model

Key findings: The FISHRENT model is a major step forward in bio-economic model-ling, combining features that have not been fully integrated in earlier models: 1- Incorporation of any number of species (or stock) and/or fleets 2- Integration of simulation and optimisation over a period of 25 years 3- Integration of effort and TAC-driven management policies 4- Three independent relations for stock growth, production and investments. The feedbacks within the model allow for a dynamic simulation. The main application of the model is scenario analysis of policy options. Complementary findings: The model formulates a complete set of mathematical relations, but it also con-tains a number of important assumptions, which remain to be tested empirically. Therefore the model presents a challenging agenda for empirical research, which should lead to further qualitative and quantitative improvements of the in-dividual mathematical equations and parameter values. Method: This model was developed during the EU-funded project 'Remuneration of spawning stock biomass'. Its aim was to generate consistent sets of scenarios for an assessment of potential resource rents in different EU fisheries. The model comprises six modules, each focussing on a different aspect of the functioning of the fisheries system: biology (stocks), economy (costs, earnings and profits), policy (TACs, effort and access fees), behaviour (investments), prices (fish and fuel) and an interface linking the modules together. Input, calculation and output are clearly separated. The model produces a standard set of graphics, which provide a quick insight into the results of any model run. All output of the model runs can be exported to database software for further analysis. The model has been built in Excel, which makes it accessible for most us-ers. It has been used in new applications and even translated to other software. The model is continually further developed.

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Bibliographic Details
Main Authors: Salz, P., Buisman, F.C., Soma, K., Frost, H., Accadia, P., Prellezo, R.
Format: External research report biblioteca
Language:English
Published: LEI
Subjects:agricultural policy, biology, dynamic models, economic models, economics, european union, fisheries, fishery resources, simulation, biologie, dynamische modellen, economie, economische modellen, europese unie, landbouwbeleid, simulatie, visbestand, visserij,
Online Access:https://research.wur.nl/en/publications/fishrent-bio-economic-simulation-and-optimisation-model
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spelling dig-wur-nl-wurpubs-4066112024-01-05 Salz, P. Buisman, F.C. Soma, K. Frost, H. Accadia, P. Prellezo, R. External research report FISHRENT; Bio-economic simulation and optimisation model 2011 Key findings: The FISHRENT model is a major step forward in bio-economic model-ling, combining features that have not been fully integrated in earlier models: 1- Incorporation of any number of species (or stock) and/or fleets 2- Integration of simulation and optimisation over a period of 25 years 3- Integration of effort and TAC-driven management policies 4- Three independent relations for stock growth, production and investments. The feedbacks within the model allow for a dynamic simulation. The main application of the model is scenario analysis of policy options. Complementary findings: The model formulates a complete set of mathematical relations, but it also con-tains a number of important assumptions, which remain to be tested empirically. Therefore the model presents a challenging agenda for empirical research, which should lead to further qualitative and quantitative improvements of the in-dividual mathematical equations and parameter values. Method: This model was developed during the EU-funded project 'Remuneration of spawning stock biomass'. Its aim was to generate consistent sets of scenarios for an assessment of potential resource rents in different EU fisheries. The model comprises six modules, each focussing on a different aspect of the functioning of the fisheries system: biology (stocks), economy (costs, earnings and profits), policy (TACs, effort and access fees), behaviour (investments), prices (fish and fuel) and an interface linking the modules together. Input, calculation and output are clearly separated. The model produces a standard set of graphics, which provide a quick insight into the results of any model run. All output of the model runs can be exported to database software for further analysis. The model has been built in Excel, which makes it accessible for most us-ers. It has been used in new applications and even translated to other software. The model is continually further developed. en LEI application/pdf https://research.wur.nl/en/publications/fishrent-bio-economic-simulation-and-optimisation-model https://edepot.wur.nl/169748 agricultural policy biology dynamic models economic models economics european union fisheries fishery resources simulation biologie dynamische modellen economie economische modellen europese unie landbouwbeleid simulatie visbestand visserij Wageningen University & Research
institution WUR NL
collection DSpace
country Países bajos
countrycode NL
component Bibliográfico
access En linea
databasecode dig-wur-nl
tag biblioteca
region Europa del Oeste
libraryname WUR Library Netherlands
language English
topic agricultural policy
biology
dynamic models
economic models
economics
european union
fisheries
fishery resources
simulation
biologie
dynamische modellen
economie
economische modellen
europese unie
landbouwbeleid
simulatie
visbestand
visserij
agricultural policy
biology
dynamic models
economic models
economics
european union
fisheries
fishery resources
simulation
biologie
dynamische modellen
economie
economische modellen
europese unie
landbouwbeleid
simulatie
visbestand
visserij
spellingShingle agricultural policy
biology
dynamic models
economic models
economics
european union
fisheries
fishery resources
simulation
biologie
dynamische modellen
economie
economische modellen
europese unie
landbouwbeleid
simulatie
visbestand
visserij
agricultural policy
biology
dynamic models
economic models
economics
european union
fisheries
fishery resources
simulation
biologie
dynamische modellen
economie
economische modellen
europese unie
landbouwbeleid
simulatie
visbestand
visserij
Salz, P.
Buisman, F.C.
Soma, K.
Frost, H.
Accadia, P.
Prellezo, R.
FISHRENT; Bio-economic simulation and optimisation model
description Key findings: The FISHRENT model is a major step forward in bio-economic model-ling, combining features that have not been fully integrated in earlier models: 1- Incorporation of any number of species (or stock) and/or fleets 2- Integration of simulation and optimisation over a period of 25 years 3- Integration of effort and TAC-driven management policies 4- Three independent relations for stock growth, production and investments. The feedbacks within the model allow for a dynamic simulation. The main application of the model is scenario analysis of policy options. Complementary findings: The model formulates a complete set of mathematical relations, but it also con-tains a number of important assumptions, which remain to be tested empirically. Therefore the model presents a challenging agenda for empirical research, which should lead to further qualitative and quantitative improvements of the in-dividual mathematical equations and parameter values. Method: This model was developed during the EU-funded project 'Remuneration of spawning stock biomass'. Its aim was to generate consistent sets of scenarios for an assessment of potential resource rents in different EU fisheries. The model comprises six modules, each focussing on a different aspect of the functioning of the fisheries system: biology (stocks), economy (costs, earnings and profits), policy (TACs, effort and access fees), behaviour (investments), prices (fish and fuel) and an interface linking the modules together. Input, calculation and output are clearly separated. The model produces a standard set of graphics, which provide a quick insight into the results of any model run. All output of the model runs can be exported to database software for further analysis. The model has been built in Excel, which makes it accessible for most us-ers. It has been used in new applications and even translated to other software. The model is continually further developed.
format External research report
topic_facet agricultural policy
biology
dynamic models
economic models
economics
european union
fisheries
fishery resources
simulation
biologie
dynamische modellen
economie
economische modellen
europese unie
landbouwbeleid
simulatie
visbestand
visserij
author Salz, P.
Buisman, F.C.
Soma, K.
Frost, H.
Accadia, P.
Prellezo, R.
author_facet Salz, P.
Buisman, F.C.
Soma, K.
Frost, H.
Accadia, P.
Prellezo, R.
author_sort Salz, P.
title FISHRENT; Bio-economic simulation and optimisation model
title_short FISHRENT; Bio-economic simulation and optimisation model
title_full FISHRENT; Bio-economic simulation and optimisation model
title_fullStr FISHRENT; Bio-economic simulation and optimisation model
title_full_unstemmed FISHRENT; Bio-economic simulation and optimisation model
title_sort fishrent; bio-economic simulation and optimisation model
publisher LEI
url https://research.wur.nl/en/publications/fishrent-bio-economic-simulation-and-optimisation-model
work_keys_str_mv AT salzp fishrentbioeconomicsimulationandoptimisationmodel
AT buismanfc fishrentbioeconomicsimulationandoptimisationmodel
AT somak fishrentbioeconomicsimulationandoptimisationmodel
AT frosth fishrentbioeconomicsimulationandoptimisationmodel
AT accadiap fishrentbioeconomicsimulationandoptimisationmodel
AT prellezor fishrentbioeconomicsimulationandoptimisationmodel
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