Optimal management of natural resources. Accounting for heterogeneity

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dc.contributor Universitat de Girona. Departament d'Economia
dc.contributor.author Xabadia i Palmada, Àngels
dc.date.issued 2003-06-06
dc.identifier.isbn 8468849340
dc.identifier.other DL Gi.1647-2003
dc.identifier.uri http://www.tdx.cat/TDX-1218103-182612
dc.identifier.uri http://hdl.handle.net/10803/7699
dc.identifier.uri http://hdl.handle.net/10256/4431
dc.description.abstract Dynamic optimization methods have become increasingly important over the last years in economics. Within the dynamic optimization techniques employed, optimal control has emerged as the most powerful tool for the theoretical economic analysis. However, there is the need to advance further and take account that many dynamic economic processes are, in addition, dependent on some other parameter different than time. One can think of relaxing the assumption of a representative (homogeneous) agent in macro- and micro-economic applications allowing for heterogeneity among the agents. For instance, the optimal adaptation and diffusion of a new technology over time, may depend on the age of the person that adopted the new technology. Therefore, the economic models must take account of heterogeneity conditions within the dynamic framework. This thesis intends to accomplish two goals. The first goal is to analyze and revise existing environmental policies that focus on defining the optimal management of natural resources over time, by taking account of the heterogeneity of environmental conditions. Thus, the thesis makes a policy orientated contribution in the field of environmental policy by defining the necessary changes to transform an environmental policy based on the assumption of homogeneity into an environmental policy which takes account of heterogeneity. As a result the newly defined environmental policy will be more efficient and likely also politically more acceptable since it is tailored more specifically to the heterogeneous environmental conditions. Additionally to its policy orientated contribution, this thesis aims making a methodological contribution by applying a new optimization technique for solving problems where the control variables depend on two or more arguments --- the so-called two-stage solution approach ---, and by applying a numerical method --- the Escalator Boxcar Train Method --- for solving distributed optimal control problems, i.e., problems where the state variables, in addition to the control variables, depend on two or more arguments. Chapter 2 presents a theoretical framework to determine optimal resource allocation over time for the production of a good by heterogeneous producers, who generate a stock externalit and derives government policies to modify the behavior of competitive producers in order to achieve optimality. Chapter 3 illustrates the method in a more specific context, and integrates the aspects of quality and time, presenting a theoretical model that allows to determine the socially optimal outcome over time and space for the problem of waterlogging in irrigated agricultural production. Chapter 4 of this thesis concentrates on forestry resources and analyses the optimal selective-logging regime of a size-distributed forest.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Universitat de Girona
dc.rights ADVERTIMENT. L'accés als continguts d'aquesta tesi doctoral i la seva utilització ha de respectar els drets de la persona autora. Pot ser utilitzada per a consulta o estudi personal, així com en activitats o materials d'investigació i docència en els termes establerts a l'art. 32 del Text Refós de la Llei de Propietat Intel·lectual (RDL 1/1996). Per altres utilitzacions es requereix l'autorització prèvia i expressa de la persona autora. En qualsevol cas, en la utilització dels seus continguts caldrà indicar de forma clara el nom i cognoms de la persona autora i el títol de la tesi doctoral. No s'autoritza la seva reproducció o altres formes d'explotació efectuades amb finalitats de lucre ni la seva comunicació pública des d'un lloc aliè al servei TDX. Tampoc s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant als continguts de la tesi com als seus resums i índexs.
dc.source TDX (Tesis Doctorals en Xarxa)
dc.subject.other Gestión forestal
dc.subject.other Política ambiental
dc.subject.other Métodos numéricos
dc.subject.other Política del medi ambient
dc.subject.other Gestió dels recursos naturals
dc.subject.other Numerical methods
dc.subject.other Differentiated policies
dc.subject.other Mètodes numèrics
dc.subject.other Control òptimo
dc.subject.other Natural resources
dc.subject.other Control òptim
dc.subject.other Optimal control
dc.subject.other Gestión de recursos naturales
dc.subject.other Forest management
dc.subject.other Forest management
dc.subject.other Gestió forestal de boscos
dc.subject.other Pollution abatement
dc.title Optimal management of natural resources. Accounting for heterogeneity
dc.type info:eu-repo/semantics/doctoralThesis
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.contributor.director Goetz, Renan-Ulrich
dc.subject.udc 33 - Economia
dc.subject.udc 504 - Ciències del medi ambient
dc.type.version info:eu-repo/semantics/publishedVersion


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