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Uncertainty and Environmental Decision Making: A Handbook of Research and Best Practice presents the state of the art in applying operations research and management science (OR/MS) techniques to a broad range of environmental decision making (EDM) challenges. Drawing on leading researchers in the field, it provides a guided tour of selected methods and tools to help deal with issues as climate change, depleting biodiversity and biocapacity, and more general atmospheric, water and soil pollution problems. Individual peer-reviewed chapters look at applying stochastic reasoning on difficult issues arising in EDM under uncertainty; applying stochastic or robust programming methods to techno-economic modeling of energy/environment interactions; important consequences of uncertainty inherent in weather patterns, the El Nino phenomenon and anticipated climate change; exploiting tools of decision analysis, utility theory and optimal control theory to account for differences in time scales between human development processes and the natural processes of the biosphere; and methods that combine statistical and decision analyses that can support a variety of environmental management problems. This important new work will be of special interest to a wide range of researchers, students, and practitioners in environmental economics, OR/MS, environmental and earth sciences, climatologists, and risk assessment.
Economics --- Nature protection --- Operational research. Game theory --- Mathematical statistics --- Mathematics --- Measuring methods in physics --- General ecology and biosociology --- Environmental protection. Environmental technology --- Planning (firm) --- Environmental planning --- Economic geography --- monitoring --- milieukunde --- ruimtelijke ordening --- besluitvorming --- economie --- mathematische modellen --- sociale economie --- milieubeleid --- milieuzorg --- speltheorie --- econometrie --- wiskunde --- operationeel onderzoek --- milieutechnologie --- milieubeheer --- milieuanalyse
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Climate and economies have interdependent dynamics. Even though the pace of climate change is probably much slower than the speed of adjustment of the world economies, the global climate change impact of economic development and growth has to be controlled and taken into account in the policy assessment process. Integrated assessment models are now trying to capture the different feedbacks that link the climate system and the development of human societies. This book reviews the different approaches used to model these dynamic interactions between climate and economies and proposes new avenues of research in this domain. In fourteen chapters this book deals with various aspects of the building of integrated assessment models, either by coupling economic growth and climate change modules, or using mathematical models of viability or dynamic game theory to represent the interactions between the world regions concerned. It also focuses on more specific economic equilibrium models that can be used to assess international climate policies and it addresses the modelling of impacts of climate change in Switzerland as a test region. This book is the result of several years of joint research in an interdisciplinary project on the human dimension of climate change. It proposes innovative ways to include climate simulation modules in optimal economic growth models; it explores the possible use of computable general economic equilibrium models coupled with paradigms of game theory to assess the dividends of cooperation in climate policies; it reports on the building of multi-region dynamic energy-technology-environment models to assess the possible response of the world energy system to a global cap on GHG emissions, and it shows how to model the impacts of climate change at a regional level. This book is meant to serve as a reference work for researchers and graduate students who engage in interdisciplinary studies at the boundary between Earth and Social sciences.
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Dynamic games continue to attract strong interest from researchers interested in modelling competitive as well as conflict situations exhibiting an intertemporel aspect. Applications of dynamic games have proven to be a suitable methodology to study the behaviour of players (decision-makers) and to predict the outcome of such situations in many areas including engineering, economics, management science, military, biology and political science. Dynamic Games: Theory and Applications collects thirteen articles written by established researchers. It is an excellent reference for researchers and graduate students covering a wide range of emerging and revisited problems in both cooperative and non-cooperative games in different areas of applications, especially in economics and management science.
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