Springer

  • Operations Research Management Science approaches have helped people for the last 40 years to understand the complex functioning of the systems based upon natural resources, as well as to manage natural resources in the most efficient manner. The areas usually viewed within the natural resources field are: agriculture, fisheries, forestry, and mining and water resources. All of these areas share the common problem of optimally allocating scarcity over a period of time. The scale of time or length of the planning horizon differs from one area to another. We have almost a continuous renewal in the case of the fisheries, periodic cycles in the case of agriculture and forestry and enormous periods of time much beyond the human perception in the case of mining resources. But in all the cases, the critical issue is to obtain an efficient use of the resource along its planned time horizon.

    Another element of connection among the different natural resources is due to the interaction between the use of the resource and the environmental impact caused by its extraction or harvest. This type of interaction implies additional complexities in the underlying decision-making process, making the use of OR/MS tools especially relevant.

    HANDBOOK OF OPERATIONS RESEARCH IN NATURAL RESOURCES will be the first systematic handbook treatment of quantitative modeling natural resource problems, their allocated efficient use, and societal and economic impact. Andrés Weintraub is the very top person in Natural Resource research. Moreover, he has an international reputation in OR and a former president of the International Federation of Operational Research Societies (IFORS). He has selected co-editors who are at the top of the sub-fields in natural resources: agriculture, fisheries, forestry, and mining. The book will cover these areas in terms with contributions from researchers on modeling natural research problems, quantifying data, developing algorithms, and discussing the benefits of research implementations. The handbook will include tutorial contributions when necessary. Throughout the book, technological advances and algorithmic developments that have been driven by natural resource problems will be called out and discussed.

  • This work investigates the time series properties of the unemployment rate of the Spanish regions over the period 1976-2011. For that purpose, the authors employ the PANIC procedures of Bai and Ng (2004), which allows to decompose the observed unemployment rate series into common factor and idiosyncratic components. This enables the authors to identify the exact source behind the hysteretic behaviour found in Spanish regional unemployment. Overall, the analysis with three different proxies for the excess of labour supply renders strong support for the hysteresis hypothesis, which appears to be caused by a common stochastic trend driving all the regional unemployment series. In the second part of the analysis the authors try to determine the macroeconomic and institutional factors that are able to explain the time series evolution of the common factor, and in turn help us shed light on the ultimate sources of hysteresis. The reader shall see how the variables that the empirical analysis emphasises as relevant closely fit into the main causes of the Spanish unemployment behaviour. Finally, some policy considerations drawn from the results are presented.

  • This monograph provides a novel approach to the evaluation of economic policy by combining two different analytical strategies. On the one hand, the computable general equilibrium (CGE) analysis, a standard tool mostly used to quantify the impact of economic measures or changes in the structural data of the economy. On the other hand, the multiple criteria decision-making (MCDM) approach, an op- misation technique that deals with problems with more than one objective. Ty- cally, CGE is well suited for the analysis of the interactions of multiple agents from the point of view of a planner single objective. Combining this technique with the MCDM approach allows developing models in which we ?nd many interacting agents and a decision maker with several objectives. The contribution of this work is partly methodological and partly applied. It provides a framework for the analysis of this type of problems, as well as a series of applications in which the strength of the approach is made clear. The consideration of environmental problems, as a speci?c ?eld in which this technique of analysis can be used, is particularly well chosen. The environmental concern keeps growing steadily and has already become an issue in most of the standard economic decisions. It is therefore extremely important to ?nd systematic ways to introduce such a concern in the models with which we evaluate the impact of policy measures.

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