Publication
Applications of game theory to optimal fishery management
dc.contributor.advisor | Madden, P. | |
dc.contributor.author | Santos, Sérgio Pereira dos | |
dc.date.accessioned | 2014-06-30T15:16:14Z | |
dc.date.available | 2014-06-30T15:16:14Z | |
dc.date.issued | 1995-10 | |
dc.description | Dissertação de mestrado, M.A. (Econ), Department of Econometrics, Faculty of Economic and Social Studies,University of Manchester, 1995. | por |
dc.description.abstract | This dissertation analyses the optimal management of fisheries in the framework of dynamic game theory. The analysis rests upon a blend of the economic model of the fishery confined to the waters of a single state, with the theory of dynamic games. In order to accomplish this objective, this dissertation has been organised as follows. Chapter 1 presents some background material concerning noncooperative and cooperative game theory as well as a general formulation of continuous-time infinite dynamic games, also known as differential games. In Chapter 2 we provide some material concerning the dynamics of the fishery by summarising the Gordon-Schaefer bioeconomic model, which provides the foundation for our analysis. Finally, in Chapter 3, and by combining the subject presented in the preceding chapters, we examine the insights which dynamic game theory can provide in analysing fisheries management. | por |
dc.identifier.other | AUT: SSA00141; | |
dc.identifier.uri | http://hdl.handle.net/10400.1/4593 | |
dc.language.iso | eng | por |
dc.peerreviewed | yes | por |
dc.publisher | University of Manchester | por |
dc.subject | Game theory | por |
dc.subject | Fishery management | por |
dc.title | Applications of game theory to optimal fishery management | por |
dc.type | master thesis | |
dspace.entity.type | Publication | |
person.familyName | Pereira dos Santos | |
person.givenName | Sérgio | |
person.identifier.ciencia-id | D81F-2E2A-9046 | |
person.identifier.orcid | 0000-0001-9811-3799 | |
rcaap.rights | restrictedAccess | por |
rcaap.type | masterThesis | por |
relation.isAuthorOfPublication | ebe16fd2-b979-4745-a429-026430cc8742 | |
relation.isAuthorOfPublication.latestForDiscovery | ebe16fd2-b979-4745-a429-026430cc8742 |
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