Effect of a nonlinear demand function on the dynamics of a fishery

dc.citation.epage1153
dc.citation.issue4
dc.citation.journalTitleМатематичне моделювання та комп'ютинг
dc.citation.spage1143
dc.contributor.affiliationУніверситет Абдельмалека Ессааді
dc.contributor.affiliationНаціональний інститут досліджень рибного господарства (INRH)
dc.contributor.affiliationAbdelmalek Essaadi University
dc.contributor.affiliationInstitut National de Recherche Halieutique (INRH)
dc.contributor.authorЕль Хаккі, І.
dc.contributor.authorМчич, Р.
dc.contributor.authorБергам, А.
dc.contributor.authorЧарукі, Н.
dc.contributor.authorЕль Харрак, А.
dc.contributor.authorEl Hakki, I.
dc.contributor.authorMchich, R.
dc.contributor.authorBergam, A.
dc.contributor.authorCharouki, N.
dc.contributor.authorEl Harrak, A.
dc.coverage.placenameЛьвів
dc.date.accessioned2025-03-10T09:21:54Z
dc.date.created2023-02-28
dc.date.issued2023-02-28
dc.description.abstractУ цій роботі подано та проаналізовано модель рибальства зі змiною ціни. Враховано еволюцію біомаси риби з часом та зусилля для вилову, тоді як ціна риби залежить від попиту та пропозиції. Припускається, що зміна ціни відбувається в швидкому часовому масштабі, а еволюція запасів і зусиль відбувається у повільно часовому масштабі. Враховуючи різні часові масштаби, модель зведена до 2D моделі. Проаналізовано отриману модель, і залежно від значення параметра може виникнути два основних випадки: випадок виключення риби та стійкий рибний промисел. Щоб уникнути вимирання риби, введено керуючий параметр і вивчено вплив кількості місць на вилов, що дозволяє уникнути небажаного випадку.
dc.description.abstractIn this work, we present and analyze a fishery model with a price variation. We take into account the evolution in time of the fish biomass and the harvesting effort, while the price of fish is dependent on supply and demand. Assuming that the price variation occurs at a fast time scale. We assume that the stock and the effort evolution follow a slow time scale. Considering the different time scales, the model is reduced to a 2D model. We analyze the obtained model, and depending on the value of a parameter, there are two main cases that can arise: a fish exclusion case and a sustainable fishery. To avoid Fish Extinction we introduce a control parameter and we study the impact of the number of sites on the catch that allow the undesirable case to be avoided.
dc.format.extent1143-1153
dc.format.pages11
dc.identifier.citationEffect of a nonlinear demand function on the dynamics of a fishery / I. El Hakki, R. Mchich, A. Bergam, N. Charouki, A. El Harrak // Mathematical Modeling and Computing. — Lviv Politechnic Publishing House, 2023. — Vol 10. — No 4. — P. 1143–1153.
dc.identifier.citationenEffect of a nonlinear demand function on the dynamics of a fishery / I. El Hakki, R. Mchich, A. Bergam, N. Charouki, A. El Harrak // Mathematical Modeling and Computing. — Lviv Politechnic Publishing House, 2023. — Vol 10. — No 4. — P. 1143–1153.
dc.identifier.doidoi.org/10.23939/mmc2023.04.1143
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/64066
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofМатематичне моделювання та комп'ютинг, 4 (10), 2023
dc.relation.ispartofMathematical Modeling and Computing, 4 (10), 2023
dc.relation.references[1] Auger P., Mchich R., Ra¨rssi N., Kooi B. Effects of market price on the dynamics of a spatial fishery model: Over-exploited fishery/traditional fishery. Ecological Complexity. 7 (1), 13–20 (2010).
dc.relation.references[2] Gordon H. S. The economic theory of a common-property ressource: the fishery. Journal of Political Economy. 62 (2), 124–142 (1954).
dc.relation.references[3] Smith V. L. On models of commercial fishing. Journal of Political Economy. 77 (2), 181–198 (1969).
dc.relation.references[4] Clark C. W. Mathematical Bioeconomics: The Optimal Management of Renewable Resources. Wiley, New York (1990).
dc.relation.references[5] Charouki N., Ra¨rssi N., Auger P., Mchich R., Atmani H. A management oriented competitive model with two time scales: The case of sardine fishery along the Atlantic coast between Cantin Cape and Blanc Cape. Ecological Modelling. 222 (4), 1253–1261 (2011).
dc.relation.references[6] Mchich R., Auger P., Brochier T., Brehmer P. Interactions Between the Cross-Shore Structure of Small Pelagic Fish Population, Offshore Industrial Fisheries and Near Shore Artisanal Fisheries: A Mathematical Approach. Acta Biotheoretica. 64, 479–493 (2016).
dc.relation.references[7] Barbier E. B., Strand I., Sathirathai S. Do open access conditions affect the valuation of an externality? Estimating the welfare effects of mangrove-fishery linkages. Environmental and Resource Economics. 21, 343–365 (2002).
dc.relation.references[8] Smith V. L. Economics of production from natural resources. The American Economic Review. 58 (3), 409–431 (1968).
dc.relation.references[9] Ly S., Balde M., Mansal F., Nguyen-Huu T., Auger P. A Model of a Multi-Site Fishery with Variable Price: from Over-Exploitation to Sustainable Fisheries. Mathematical Modelling of Natural Phenomena. 8 (6), 130–142 (2014).
dc.relation.references[10] Ly S., Auger P., Balde M. A bioeconomic model of a multi-site fishery with nonlinear demand function: number of sites optimizing the total catch. Acta Biotheoretica. 62 (3), 371–384 (2014).
dc.relation.references[11] LaFrance J. T. Linear demand functions in theory and practice. Journal of Economic Theory. 37 (1), 147–166 (1985).
dc.relation.references[12] Brochier T., Auger P., Thiao D., Bah A., Ly S., Nguyen-Huu T., Brehmer P. Can overexploited fisheries recover by self-organization? Reallocation of fishing effort as an emergent form of governance. Marine Policy. 95, 46–56 (2018).
dc.relation.references[13] Nobuyuki Y., Masahiko A., Atsushi T., Yoshihito S. Application of a bioeconomics model to examine sustainability of fishery resources in the global market: the case of octopus resource in Morocco. Fisheries Science. 75 (1), 43–46 (2009).
dc.relation.references[14] Report on the state of fish stocks in Morocco. INRH, 146–165 (2016).
dc.relation.references[15] Report on the state of fish stocks in Morocco. INRH, 118–136 (2017).
dc.relation.references[16] Report on the state of fish stocks in Morocco. INRH, 33–37 (2018).
dc.relation.referencesen[1] Auger P., Mchich R., Ra¨rssi N., Kooi B. Effects of market price on the dynamics of a spatial fishery model: Over-exploited fishery/traditional fishery. Ecological Complexity. 7 (1), 13–20 (2010).
dc.relation.referencesen[2] Gordon H. S. The economic theory of a common-property ressource: the fishery. Journal of Political Economy. 62 (2), 124–142 (1954).
dc.relation.referencesen[3] Smith V. L. On models of commercial fishing. Journal of Political Economy. 77 (2), 181–198 (1969).
dc.relation.referencesen[4] Clark C. W. Mathematical Bioeconomics: The Optimal Management of Renewable Resources. Wiley, New York (1990).
dc.relation.referencesen[5] Charouki N., Ra¨rssi N., Auger P., Mchich R., Atmani H. A management oriented competitive model with two time scales: The case of sardine fishery along the Atlantic coast between Cantin Cape and Blanc Cape. Ecological Modelling. 222 (4), 1253–1261 (2011).
dc.relation.referencesen[6] Mchich R., Auger P., Brochier T., Brehmer P. Interactions Between the Cross-Shore Structure of Small Pelagic Fish Population, Offshore Industrial Fisheries and Near Shore Artisanal Fisheries: A Mathematical Approach. Acta Biotheoretica. 64, 479–493 (2016).
dc.relation.referencesen[7] Barbier E. B., Strand I., Sathirathai S. Do open access conditions affect the valuation of an externality? Estimating the welfare effects of mangrove-fishery linkages. Environmental and Resource Economics. 21, 343–365 (2002).
dc.relation.referencesen[8] Smith V. L. Economics of production from natural resources. The American Economic Review. 58 (3), 409–431 (1968).
dc.relation.referencesen[9] Ly S., Balde M., Mansal F., Nguyen-Huu T., Auger P. A Model of a Multi-Site Fishery with Variable Price: from Over-Exploitation to Sustainable Fisheries. Mathematical Modelling of Natural Phenomena. 8 (6), 130–142 (2014).
dc.relation.referencesen[10] Ly S., Auger P., Balde M. A bioeconomic model of a multi-site fishery with nonlinear demand function: number of sites optimizing the total catch. Acta Biotheoretica. 62 (3), 371–384 (2014).
dc.relation.referencesen[11] LaFrance J. T. Linear demand functions in theory and practice. Journal of Economic Theory. 37 (1), 147–166 (1985).
dc.relation.referencesen[12] Brochier T., Auger P., Thiao D., Bah A., Ly S., Nguyen-Huu T., Brehmer P. Can overexploited fisheries recover by self-organization? Reallocation of fishing effort as an emergent form of governance. Marine Policy. 95, 46–56 (2018).
dc.relation.referencesen[13] Nobuyuki Y., Masahiko A., Atsushi T., Yoshihito S. Application of a bioeconomics model to examine sustainability of fishery resources in the global market: the case of octopus resource in Morocco. Fisheries Science. 75 (1), 43–46 (2009).
dc.relation.referencesen[14] Report on the state of fish stocks in Morocco. INRH, 146–165 (2016).
dc.relation.referencesen[15] Report on the state of fish stocks in Morocco. INRH, 118–136 (2017).
dc.relation.referencesen[16] Report on the state of fish stocks in Morocco. INRH, 33–37 (2018).
dc.rights.holder© Національний університет “Львівська політехніка”, 2023
dc.subjectмодель риболовства
dc.subjectагрегування змінних
dc.subjectрізна ціна
dc.subjectстабільність
dc.subjectрівновага
dc.subjectпараметр керування
dc.subjectпристрої для збору риби
dc.subjectfishery model
dc.subjectaggregation of variables
dc.subjectvarying price
dc.subjectstability
dc.subjectequilibrium
dc.subjectcontrol parameter
dc.subjectfish aggregating devices
dc.titleEffect of a nonlinear demand function on the dynamics of a fishery
dc.title.alternativeВплив нелінійної функції попиту на динаміку рибного промислу
dc.typeArticle

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